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Posted to commits@commons.apache.org by er...@apache.org on 2021/08/09 16:41:32 UTC
[commons-math] branch master updated (1444d2d -> fdbb8b9)
This is an automated email from the ASF dual-hosted git repository.
erans pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/commons-math.git.
from 1444d2d Replace deprecated calls.
new c04dd79 Preserve RNG state integrity in case unit tests would be run concurrently.
new 1bc6e8d "Simplex.TransformFactory" must extend "OptimizationData".
new 970834f Delete unused test data files.
new 43ac946 Delete unused test data files.
new a249134 Remove duplicate function (unit tests).
new 7ce3207 Web links to reference definitions of test functions.
new 40984b8 Use JUnit 5 engine (unit tests).
new c40a306 Unused "import".
new fdbb8b9 MATH-1623: Add parameterized unit tests for simplex-based optimizers.
The 9 revisions listed above as "new" are entirely new to this
repository and will be described in separate emails. The revisions
listed as "add" were already present in the repository and have only
been added to this reference.
Summary of changes:
.../scalar/noderiv/HedarFukushimaTransform.java | 4 +-
.../scalar/noderiv/MultiDirectionalTransform.java | 4 +-
.../scalar/noderiv/NelderMeadTransform.java | 4 +-
.../optim/nonlinear/scalar/noderiv/Simplex.java | 2 +-
.../optim/nonlinear/scalar/TestFunction.java | 21 +-
.../scalar/noderiv/BOBYQAOptimizerTest.java | 14 +-
.../scalar/noderiv/CMAESOptimizerTest.java | 22 +-
.../nonlinear/scalar/noderiv/OptimTestUtils.java | 3 +-
.../SimplexOptimizerMultiDirectionalTest.java | 10 -
.../noderiv/SimplexOptimizerNelderMeadTest.java | 10 -
.../scalar/noderiv/SimplexOptimizerTest.java | 220 ++
.../distribution/gamma-distribution-shape-1.csv | 3215 -------------------
.../distribution/gamma-distribution-shape-10.csv | 415 ---
.../distribution/gamma-distribution-shape-100.csv | 408 ---
.../distribution/gamma-distribution-shape-1000.csv | 3325 --------------------
.../distribution/gamma-distribution-shape-142.csv | 775 -----
.../distribution/gamma-distribution-shape-8.csv | 3215 -------------------
.../legacy/distribution/gamma-distribution.mac | 73 -
.../std_test_func.simplex.multidirectional.csv | 44 +
.../noderiv/std_test_func.simplex.nelder_mead.csv | 44 +
.../math4/legacy/optimization/general/Hahn1.dat | 296 --
.../math4/legacy/optimization/general/Kirby2.dat | 211 --
.../math4/legacy/optimization/general/Lanczos1.dat | 84 -
.../math4/legacy/optimization/general/MGH17.dat | 93 -
pom.xml | 26 +-
25 files changed, 360 insertions(+), 12178 deletions(-)
create mode 100644 commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/SimplexOptimizerTest.java
delete mode 100644 commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-1.csv
delete mode 100644 commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-10.csv
delete mode 100644 commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-100.csv
delete mode 100644 commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-1000.csv
delete mode 100644 commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-142.csv
delete mode 100644 commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-8.csv
delete mode 100644 commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution.mac
create mode 100644 commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/std_test_func.simplex.multidirectional.csv
create mode 100644 commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/std_test_func.simplex.nelder_mead.csv
delete mode 100644 commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/Hahn1.dat
delete mode 100644 commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/Kirby2.dat
delete mode 100644 commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/Lanczos1.dat
delete mode 100644 commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/MGH17.dat
[commons-math] 04/09: Delete unused test data files.
Posted by er...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
erans pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-math.git
commit 43ac9463822830a0497bb7eb5872b26f733810bb
Author: Gilles Sadowski <gi...@gmail.com>
AuthorDate: Mon Aug 9 11:54:38 2021 +0200
Delete unused test data files.
---
.../distribution/gamma-distribution-shape-1.csv | 3215 -------------------
.../distribution/gamma-distribution-shape-10.csv | 415 ---
.../distribution/gamma-distribution-shape-100.csv | 408 ---
.../distribution/gamma-distribution-shape-1000.csv | 3325 --------------------
.../distribution/gamma-distribution-shape-142.csv | 775 -----
.../distribution/gamma-distribution-shape-8.csv | 3215 -------------------
.../legacy/distribution/gamma-distribution.mac | 73 -
7 files changed, 11426 deletions(-)
diff --git a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-1.csv b/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-1.csv
deleted file mode 100644
index af00c10..0000000
--- a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-1.csv
+++ /dev/null
@@ -1,3215 +0,0 @@
-#
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-# contributor license agreements. See the NOTICE file distributed with
-# this work for additional information regarding copyright ownership.
-# The ASF licenses this file to You under the Apache License, Version 2.0
-# (the "License"); you may not use this file except in compliance with
-# the License. You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
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diff --git a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-10.csv b/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-10.csv
deleted file mode 100644
index 3061384..0000000
--- a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-10.csv
+++ /dev/null
@@ -1,415 +0,0 @@
-#
-# Licensed to the Apache Software Foundation (ASF) under one or more
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-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
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diff --git a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-100.csv b/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-100.csv
deleted file mode 100644
index 4ef5e9f..0000000
--- a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-100.csv
+++ /dev/null
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diff --git a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-1000.csv b/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-1000.csv
deleted file mode 100644
index e0536f9..0000000
--- a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-1000.csv
+++ /dev/null
@@ -1,3325 +0,0 @@
-#
-# Licensed to the Apache Software Foundation (ASF) under one or more
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-# this work for additional information regarding copyright ownership.
-# The ASF licenses this file to You under the Apache License, Version 2.0
-# (the "License"); you may not use this file except in compliance with
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-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
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diff --git a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-142.csv b/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-142.csv
deleted file mode 100644
index f515d6a..0000000
--- a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-142.csv
+++ /dev/null
@@ -1,775 +0,0 @@
-#
-# Licensed to the Apache Software Foundation (ASF) under one or more
-# contributor license agreements. See the NOTICE file distributed with
-# this work for additional information regarding copyright ownership.
-# The ASF licenses this file to You under the Apache License, Version 2.0
-# (the "License"); you may not use this file except in compliance with
-# the License. You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
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diff --git a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-8.csv b/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-8.csv
deleted file mode 100644
index 878f472..0000000
--- a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/distribution/gamma-distribution-shape-8.csv
+++ /dev/null
@@ -1,3215 +0,0 @@
-#
-# Licensed to the Apache Software Foundation (ASF) under one or more
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-54.34375, 0.0000000000000006957063036130004563127647840519398622231077315289035235596547445
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-54.46875, 0.0000000000000006239126108638766780950297999472297930892777931376370126451096749
-54.5, 0.0000000000000006071496035384462974678747897278307946248200766774000620409912283
-54.53125, 0.0000000000000005908356174680076942793133827988106948860739451906681492278414317
-54.5625, 0.0000000000000005749586631424909209162480204405152536518275700138028583695961586
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-54.6875, 0.0000000000000005155923643233045430614185158633377493881762153230149339392563843
-54.71875, 0.0000000000000005017316019444541404765653244962420660086057377721721408028398846
-54.75, 0.0000000000000004882423462270602161206991170778959242978039852515554138855130737
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-54.96875, 0.000000000000000403418387742873884581023978290900818488265457501769487272971844
-55.0, 0.0000000000000003925651887640266722204037677658029010523170207657344178505489617
-55.03125, 0.0000000000000003820031110574129298722200807675219039588942519468363808448084442
-55.0625, 0.0000000000000003717243699708603418596669215299987268481951878243571646875131346
-55.09375, 0.0000000000000003617213883354371605802776328126032428385770491578665867653477416
-55.125, 0.0000000000000003519867909544757675243063668351790890050966356726571441819535959
-55.15625, 0.0000000000000003425133992384413588272297215257412238575946591746795908554897551
-55.1875, 0.000000000000000333294225981800889693346518848891828420737331613649158005995784
-55.21875, 0.0000000000000003243224702781483594402616939976358353847263614304131015375590699
-55.25, 0.0000000000000003155915125699408274307130096790325307971401970558471690611151892
-55.28125, 0.0000000000000003070949098292952884442369742172292076663846575027108614248406006
-55.3125, 0.0000000000000002988263908663897709841787138433214979060832151318175052374326497
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-55.46875, 0.0000000000000002606970242976270383611567432545401935288295742466933397343664425
-55.5, 0.0000000000000002536743754349036787228689715456200246526340807322856948116205211
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-55.6875, 0.0000000000000002153275268040396889366857593676658787763714502099111682382086484
-55.71875, 0.0000000000000002095237961328029148387850234936598729755222255933512040112355708
-55.75, 0.0000000000000002038760447127799312935011031444831813326750682065097747417531338
-55.78125, 0.0000000000000001983800931211115936304734656979097528761691309768324473294258343
-55.8125, 0.0000000000000001930318735668910102759151163583096620075462574106544935719100128
-55.84375, 0.0000000000000001878274269194261247418706357469014379000212228234058918744689463
-55.875, 0.0000000000000001827628998153342798364206559434132562752922181502044941082131688
-55.90625, 0.0000000000000001778345418423853409240691739431832799938077180767411148366461803
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-56.125, 0.0000000000000001468541232563393852863516189566083474035374812335314159378143547
... 1483 lines suppressed ...
[commons-math] 02/09: "Simplex.TransformFactory" must extend
"OptimizationData".
Posted by er...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
erans pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-math.git
commit 1bc6e8de2535169337219e8fed682a670267ab46
Author: Gilles Sadowski <gi...@gmail.com>
AuthorDate: Mon Aug 9 10:31:07 2021 +0200
"Simplex.TransformFactory" must extend "OptimizationData".
---
.../legacy/optim/nonlinear/scalar/noderiv/HedarFukushimaTransform.java | 3 +--
.../optim/nonlinear/scalar/noderiv/MultiDirectionalTransform.java | 3 +--
.../legacy/optim/nonlinear/scalar/noderiv/NelderMeadTransform.java | 3 +--
.../commons/math4/legacy/optim/nonlinear/scalar/noderiv/Simplex.java | 2 +-
4 files changed, 4 insertions(+), 7 deletions(-)
diff --git a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/HedarFukushimaTransform.java b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/HedarFukushimaTransform.java
index 2328b72..d4967d57 100644
--- a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/HedarFukushimaTransform.java
+++ b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/HedarFukushimaTransform.java
@@ -54,8 +54,7 @@ import org.apache.commons.math4.legacy.optim.OptimizationData;
* "SSA" algorithm in the above paper.
*/
public class HedarFukushimaTransform
- implements Simplex.TransformFactory,
- OptimizationData {
+ implements Simplex.TransformFactory {
/** Shrinkage coefficient. */
private final double sigma;
/** Sampler for reflection coefficient. */
diff --git a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/MultiDirectionalTransform.java b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/MultiDirectionalTransform.java
index 6b4e1f8..5d59bae 100644
--- a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/MultiDirectionalTransform.java
+++ b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/MultiDirectionalTransform.java
@@ -30,8 +30,7 @@ import org.apache.commons.math4.legacy.optim.OptimizationData;
* Multi-directional search method.
*/
public class MultiDirectionalTransform
- implements Simplex.TransformFactory,
- OptimizationData {
+ implements Simplex.TransformFactory {
/** Reflection coefficient. */
private static final double ALPHA = 1;
/** Default value for {@link #gamma}: {@value}. */
diff --git a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/NelderMeadTransform.java b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/NelderMeadTransform.java
index 775d5a3..9751516 100644
--- a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/NelderMeadTransform.java
+++ b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/NelderMeadTransform.java
@@ -28,8 +28,7 @@ import org.apache.commons.math4.legacy.optim.OptimizationData;
* <a href="https://en.wikipedia.org/wiki/Nelder%E2%80%93Mead_method">Nelder-Mead method</a>.
*/
public class NelderMeadTransform
- implements Simplex.TransformFactory,
- OptimizationData {
+ implements Simplex.TransformFactory {
/** Default value for {@link #alpha}: {@value}. */
private static final double DEFAULT_ALPHA = 1;
/** Default value for {@link #gamma}: {@value}. */
diff --git a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/Simplex.java b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/Simplex.java
index bcc94aa..f5a127a 100644
--- a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/Simplex.java
+++ b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/Simplex.java
@@ -249,7 +249,7 @@ public final class Simplex implements OptimizationData {
* @see NelderMeadTransform
* @see HedarFukushimaTransform
*/
- public interface TransformFactory {
+ public interface TransformFactory extends OptimizationData {
/**
* Creates a simplex transformation.
*
[commons-math] 01/09: Preserve RNG state integrity in case unit
tests would be run concurrently.
Posted by er...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
erans pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-math.git
commit c04dd79f0f75e9ac92a3abe79306438681b1291a
Author: Gilles Sadowski <gi...@gmail.com>
AuthorDate: Mon Aug 9 10:27:34 2021 +0200
Preserve RNG state integrity in case unit tests would be run concurrently.
---
.../math4/legacy/optim/nonlinear/scalar/noderiv/OptimTestUtils.java | 3 ++-
1 file changed, 2 insertions(+), 1 deletion(-)
diff --git a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/OptimTestUtils.java b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/OptimTestUtils.java
index 283f0ff..46837fb 100644
--- a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/OptimTestUtils.java
+++ b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/OptimTestUtils.java
@@ -19,6 +19,7 @@ package org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv;
import java.util.Arrays;
import org.apache.commons.rng.UniformRandomProvider;
import org.apache.commons.rng.simple.RandomSource;
+import org.apache.commons.rng.simple.ThreadLocalRandomSource;
import org.apache.commons.rng.sampling.distribution.MarsagliaNormalizedGaussianSampler;
import org.apache.commons.rng.sampling.distribution.ContinuousUniformSampler;
import org.apache.commons.math4.legacy.analysis.MultivariateFunction;
@@ -113,7 +114,7 @@ final class OptimTestUtils {
/** Creates a RNG instance. */
static UniformRandomProvider rng() {
- return RandomSource.MWC_256.create();
+ return ThreadLocalRandomSource.current(RandomSource.MWC_256);
}
private static class Basis {
[commons-math] 08/09: Unused "import".
Posted by er...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
erans pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-math.git
commit c40a30678b5150e1b3642dcaae4ce9c9ae59b009
Author: Gilles Sadowski <gi...@gmail.com>
AuthorDate: Mon Aug 9 18:22:39 2021 +0200
Unused "import".
---
.../legacy/optim/nonlinear/scalar/noderiv/HedarFukushimaTransform.java | 1 -
.../legacy/optim/nonlinear/scalar/noderiv/MultiDirectionalTransform.java | 1 -
.../math4/legacy/optim/nonlinear/scalar/noderiv/NelderMeadTransform.java | 1 -
3 files changed, 3 deletions(-)
diff --git a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/HedarFukushimaTransform.java b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/HedarFukushimaTransform.java
index d4967d57..d0a773f 100644
--- a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/HedarFukushimaTransform.java
+++ b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/HedarFukushimaTransform.java
@@ -28,7 +28,6 @@ import org.apache.commons.rng.sampling.distribution.ContinuousSampler;
import org.apache.commons.rng.sampling.distribution.ContinuousUniformSampler;
import org.apache.commons.math4.legacy.analysis.MultivariateFunction;
import org.apache.commons.math4.legacy.optim.PointValuePair;
-import org.apache.commons.math4.legacy.optim.OptimizationData;
/**
* DSSA algorithm.
diff --git a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/MultiDirectionalTransform.java b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/MultiDirectionalTransform.java
index 5d59bae..e33f6ac 100644
--- a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/MultiDirectionalTransform.java
+++ b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/MultiDirectionalTransform.java
@@ -24,7 +24,6 @@ import java.util.function.DoublePredicate;
import org.apache.commons.math4.legacy.analysis.MultivariateFunction;
import org.apache.commons.math4.legacy.optim.PointValuePair;
-import org.apache.commons.math4.legacy.optim.OptimizationData;
/**
* Multi-directional search method.
diff --git a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/NelderMeadTransform.java b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/NelderMeadTransform.java
index 9751516..908ebf1 100644
--- a/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/NelderMeadTransform.java
+++ b/commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/NelderMeadTransform.java
@@ -22,7 +22,6 @@ import java.util.function.DoublePredicate;
import org.apache.commons.math4.legacy.analysis.MultivariateFunction;
import org.apache.commons.math4.legacy.optim.PointValuePair;
-import org.apache.commons.math4.legacy.optim.OptimizationData;
/**
* <a href="https://en.wikipedia.org/wiki/Nelder%E2%80%93Mead_method">Nelder-Mead method</a>.
[commons-math] 05/09: Remove duplicate function (unit tests).
Posted by er...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
erans pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-math.git
commit a2491345b8e549f653c0e3592408ca6cfa74bb12
Author: Gilles Sadowski <gi...@gmail.com>
AuthorDate: Mon Aug 9 16:10:48 2021 +0200
Remove duplicate function (unit tests).
---
.../optim/nonlinear/scalar/TestFunction.java | 15 +--------------
.../scalar/noderiv/BOBYQAOptimizerTest.java | 14 +++++++-------
.../scalar/noderiv/CMAESOptimizerTest.java | 22 +++++++++++-----------
.../SimplexOptimizerMultiDirectionalTest.java | 10 ----------
.../noderiv/SimplexOptimizerNelderMeadTest.java | 10 ----------
5 files changed, 19 insertions(+), 52 deletions(-)
diff --git a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/TestFunction.java b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/TestFunction.java
index 2dd7048..44ebc4f 100644
--- a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/TestFunction.java
+++ b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/TestFunction.java
@@ -104,19 +104,6 @@ public enum TestFunction {
return f;
};
}),
- ROSEN(dim -> {
- final int last = dim - 1;
- return x -> {
- double f = 0;
- for (int i = 0; i < last; i++) {
- final double xi = x[i];
- final double a = xi * xi - x[i + 1];
- final double b = xi - 1;
- f += 1e2 * a * a + b * b;
- }
- return f;
- };
- }),
ACKLEY(dim -> {
final double A = 20;
final double B = 0.2;
@@ -176,7 +163,7 @@ public enum TestFunction {
final double xiP1 = x[i + 1];
final double a = xiP1 - xi * xi;
final double b = xi - 1;
- f += 100 * a * a + b * b;
+ f += 1e2 * a * a + b * b;
}
return f;
};
diff --git a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.java b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.java
index 020c67d..bd6cd3a 100644
--- a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.java
+++ b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.java
@@ -42,7 +42,7 @@ public class BOBYQAOptimizerTest {
public void testInitOutOfBounds() {
double[] startPoint = OptimTestUtils.point(DIM, 3);
double[][] boundaries = boundaries(DIM, -1, 2);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, boundaries,
GoalType.MINIMIZE,
1e-13, 1e-6, 2000, null);
}
@@ -51,7 +51,7 @@ public class BOBYQAOptimizerTest {
public void testBoundariesDimensionMismatch() {
double[] startPoint = OptimTestUtils.point(DIM, 0.5);
double[][] boundaries = boundaries(DIM + 1, -1, 2);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, boundaries,
GoalType.MINIMIZE,
1e-13, 1e-6, 2000, null);
}
@@ -59,7 +59,7 @@ public class BOBYQAOptimizerTest {
@Test(expected=NumberIsTooSmallException.class)
public void testProblemDimensionTooSmall() {
double[] startPoint = OptimTestUtils.point(1, 0.5);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, null,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, null,
GoalType.MINIMIZE,
1e-13, 1e-6, 2000, null);
}
@@ -69,7 +69,7 @@ public class BOBYQAOptimizerTest {
final int lowMaxEval = 2;
double[] startPoint = OptimTestUtils.point(DIM, 0.1);
double[][] boundaries = null;
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, boundaries,
GoalType.MINIMIZE,
1e-13, 1e-6, lowMaxEval, null);
}
@@ -79,7 +79,7 @@ public class BOBYQAOptimizerTest {
double[] startPoint = OptimTestUtils.point(DIM,0.1);
double[][] boundaries = null;
PointValuePair expected = new PointValuePair(OptimTestUtils.point(DIM,1.0),0.0);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, boundaries,
GoalType.MINIMIZE,
1e-13, 1e-6, 2000, expected);
}
@@ -230,7 +230,7 @@ public class BOBYQAOptimizerTest {
double[][] boundaries = boundaries(DIM,-1,2);
PointValuePair expected =
new PointValuePair(OptimTestUtils.point(DIM,1.0),0.0);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, boundaries,
GoalType.MINIMIZE,
1e-13, 1e-6, 2000, expected);
}
@@ -252,7 +252,7 @@ public class BOBYQAOptimizerTest {
final int maxAdditionalPoints = 47;
for (int num = 1; num <= maxAdditionalPoints; num++) {
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, boundaries,
GoalType.MINIMIZE,
1e-12, 1e-6, 2000,
num,
diff --git a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/CMAESOptimizerTest.java b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/CMAESOptimizerTest.java
index 6b307b0..bf9bdb4 100644
--- a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/CMAESOptimizerTest.java
+++ b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/CMAESOptimizerTest.java
@@ -53,7 +53,7 @@ public class CMAESOptimizerTest {
double[][] boundaries = boundaries(DIM,-1,2);
PointValuePair expected =
new PointValuePair(OptimTestUtils.point(DIM,1.0),0.0);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, insigma, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, insigma, boundaries,
GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
1e-13, 1e-6, 100000, expected);
}
@@ -64,7 +64,7 @@ public class CMAESOptimizerTest {
double[][] boundaries = boundaries(DIM,-1,2);
PointValuePair expected =
new PointValuePair(OptimTestUtils.point(DIM,1.0),0.0);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, insigma, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, insigma, boundaries,
GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
1e-13, 1e-6, 100000, expected);
}
@@ -76,7 +76,7 @@ public class CMAESOptimizerTest {
double[][] boundaries = boundaries(DIM+1,-1,2);
PointValuePair expected =
new PointValuePair(OptimTestUtils.point(DIM,1.0),0.0);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, insigma, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, insigma, boundaries,
GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
1e-13, 1e-6, 100000, expected);
}
@@ -88,7 +88,7 @@ public class CMAESOptimizerTest {
double[][] boundaries = null;
PointValuePair expected =
new PointValuePair(OptimTestUtils.point(DIM,1.0),0.0);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, insigma, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, insigma, boundaries,
GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
1e-13, 1e-6, 100000, expected);
}
@@ -100,7 +100,7 @@ public class CMAESOptimizerTest {
double[][] boundaries = boundaries(DIM,-0.5,0.5);
PointValuePair expected =
new PointValuePair(OptimTestUtils.point(DIM,1.0),0.0);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, insigma, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, insigma, boundaries,
GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
1e-13, 1e-6, 100000, expected);
}
@@ -112,7 +112,7 @@ public class CMAESOptimizerTest {
double[][] boundaries = null;
PointValuePair expected =
new PointValuePair(OptimTestUtils.point(DIM,1.0),0.0);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, insigma, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, insigma, boundaries,
GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
1e-13, 1e-6, 100000, expected);
}
@@ -125,10 +125,10 @@ public class CMAESOptimizerTest {
double[][] boundaries = null;
PointValuePair expected =
new PointValuePair(OptimTestUtils.point(DIM,1.0),0.0);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, insigma, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, insigma, boundaries,
GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
1e-13, 1e-6, 100000, expected);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, insigma, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, insigma, boundaries,
GoalType.MINIMIZE, LAMBDA, false, 0, 1e-13,
1e-13, 1e-6, 100000, expected);
}
@@ -365,10 +365,10 @@ public class CMAESOptimizerTest {
double[][] boundaries = boundaries(DIM, -1, 2);
PointValuePair expected =
new PointValuePair(OptimTestUtils.point(DIM,1.0),0.0);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, insigma, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, insigma, boundaries,
GoalType.MINIMIZE, 2*LAMBDA, true, 0, 1e-13,
1e-13, 1e-6, 100000, expected);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, insigma, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, insigma, boundaries,
GoalType.MINIMIZE, 2*LAMBDA, false, 0, 1e-13,
1e-13, 1e-6, 100000, expected);
}
@@ -380,7 +380,7 @@ public class CMAESOptimizerTest {
double[][] boundaries = null;
PointValuePair expected =
new PointValuePair(OptimTestUtils.point(DIM,1.0),0.0);
- doTest(TestFunction.ROSEN.withDimension(DIM), startPoint, insigma, boundaries,
+ doTest(TestFunction.ROSENBROCK.withDimension(DIM), startPoint, insigma, boundaries,
GoalType.MINIMIZE, LAMBDA, false, 1, 1e-13,
1e-10, 1e-4, 1000000, expected);
}
diff --git a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/SimplexOptimizerMultiDirectionalTest.java b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/SimplexOptimizerMultiDirectionalTest.java
index a652cfb..a381212 100644
--- a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/SimplexOptimizerMultiDirectionalTest.java
+++ b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/SimplexOptimizerMultiDirectionalTest.java
@@ -142,16 +142,6 @@ public class SimplexOptimizerMultiDirectionalTest {
2e-4);
}
- @Test
- public void testRosen() {
- doTest(TestFunction.ROSEN.withDimension(DIM),
- OptimTestUtils.point(DIM, 0.1),
- GoalType.MINIMIZE,
- 186915,
- new PointValuePair(OptimTestUtils.point(DIM, 1.0), 0.0),
- 1e-4);
- }
-
@Ignore("See MATH-1552")@Test
public void testEllipse() {
doTest(TestFunction.ELLI.withDimension(DIM),
diff --git a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/SimplexOptimizerNelderMeadTest.java b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/SimplexOptimizerNelderMeadTest.java
index e2ed741..9b191b4 100644
--- a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/SimplexOptimizerNelderMeadTest.java
+++ b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/SimplexOptimizerNelderMeadTest.java
@@ -226,16 +226,6 @@ public class SimplexOptimizerNelderMeadTest {
2e-4);
}
- @Test
- public void testRosen() {
- doTest(TestFunction.ROSEN.withDimension(DIM),
- OptimTestUtils.point(DIM, 0.1),
- GoalType.MINIMIZE,
- 9078,
- new PointValuePair(OptimTestUtils.point(DIM, 1.0), 0.0),
- 1e-6);
- }
-
@Ignore("See MATH-1552")@Test
public void testEllipse() {
doTest(TestFunction.ELLI.withDimension(DIM),
[commons-math] 07/09: Use JUnit 5 engine (unit tests).
Posted by er...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
erans pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-math.git
commit 40984b8275753a5e2fbe48116cfcedca3b33b10c
Author: Gilles Sadowski <gi...@gmail.com>
AuthorDate: Mon Aug 9 17:59:01 2021 +0200
Use JUnit 5 engine (unit tests).
Unmodified classes rely on JUnit 5 compatibility layer with JUnit 4.
Note: Upgrading to "maven-surefire-plugin" to version 3.0.0-M5 was
necessary since prior to 3.0.0-M4 support for "rerunFailingTestsCount"
was dropped on JUnit 5.
---
pom.xml | 26 +++++++++++++++++++++++---
1 file changed, 23 insertions(+), 3 deletions(-)
diff --git a/pom.xml b/pom.xml
index 10ed3c7..d9990d1 100644
--- a/pom.xml
+++ b/pom.xml
@@ -67,6 +67,8 @@
<math.commons.geometry.version>1.0-SNAPSHOT</math.commons.geometry.version>
<math.commons.statistics.version>1.0-SNAPSHOT</math.commons.statistics.version>
<math.commons.math3.version>3.6.1</math.commons.math3.version>
+ <math.junit5.version>5.7.2</math.junit5.version>
+ <math.surefire.version>3.0.0-M5</math.surefire.version>
<!-- Workaround to avoid duplicating config files. -->
<math.parent.dir>${basedir}</math.parent.dir>
@@ -248,12 +250,21 @@
</dependencyManagement>
<dependencies>
+
<dependency>
- <groupId>junit</groupId>
- <artifactId>junit</artifactId>
- <version>4.13.1</version>
+ <groupId>org.junit.jupiter</groupId>
+ <artifactId>junit-jupiter</artifactId>
+ <version>${math.junit5.version}</version>
<scope>test</scope>
</dependency>
+
+ <dependency>
+ <groupId>org.junit.vintage</groupId>
+ <artifactId>junit-vintage-engine</artifactId>
+ <version>${math.junit5.version}</version>
+ <scope>test</scope>
+ </dependency>
+
</dependencies>
<build>
@@ -271,6 +282,7 @@
</plugin>
<plugin>
+ <groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-surefire-plugin</artifactId>
</plugin>
<plugin>
@@ -430,12 +442,20 @@
</plugins>
<pluginManagement>
+
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-checkstyle-plugin</artifactId>
<version>${math.checkstyle.version}</version>
</plugin>
+
+ <plugin>
+ <groupId>org.apache.maven.plugins</groupId>
+ <artifactId>maven-surefire-plugin</artifactId>
+ <version>${math.surefire.version}</version>
+ </plugin>
+
</plugins>
</pluginManagement>
</build>
[commons-math] 03/09: Delete unused test data files.
Posted by er...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
erans pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-math.git
commit 970834f9b90a27b3d2d8f3de800b677e5066dc0b
Author: Gilles Sadowski <gi...@gmail.com>
AuthorDate: Mon Aug 9 11:40:21 2021 +0200
Delete unused test data files.
---
.../math4/legacy/optimization/general/Hahn1.dat | 296 ---------------------
.../math4/legacy/optimization/general/Kirby2.dat | 211 ---------------
.../math4/legacy/optimization/general/Lanczos1.dat | 84 ------
.../math4/legacy/optimization/general/MGH17.dat | 93 -------
4 files changed, 684 deletions(-)
diff --git a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/Hahn1.dat b/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/Hahn1.dat
deleted file mode 100644
index 0e493a4..0000000
--- a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/Hahn1.dat
+++ /dev/null
@@ -1,296 +0,0 @@
-NIST/ITL StRD
-Dataset Name: Hahn1 (Hahn1.dat)
-
-File Format: ASCII
- Starting Values (lines 41 to 47)
- Certified Values (lines 41 to 52)
- Data (lines 61 to 296)
-
-Procedure: Nonlinear Least Squares Regression
-
-Description: These data are the result of a NIST study involving
- the thermal expansion of copper. The response
- variable is the coefficient of thermal expansion, and
- the predictor variable is temperature in degrees
- kelvin.
-
-
-Reference: Hahn, T., NIST (197?).
- Copper Thermal Expansion Study.
-
-
-
-
-
-Data: 1 Response (y = coefficient of thermal expansion)
- 1 Predictor (x = temperature, degrees kelvin)
- 236 Observations
- Average Level of Difficulty
- Observed Data
-
-Model: Rational Class (cubic/cubic)
- 7 Parameters (b1 to b7)
-
- y = (b1+b2*x+b3*x**2+b4*x**3) /
- (1+b5*x+b6*x**2+b7*x**3) + e
-
-
- Starting values Certified Values
-
- Start 1 Start 2 Parameter Standard Deviation
- b1 = 10 1 1.0776351733E+00 1.7070154742E-01
- b2 = -1 -0.1 -1.2269296921E-01 1.2000289189E-02
- b3 = 0.05 0.005 4.0863750610E-03 2.2508314937E-04
- b4 = -0.00001 -0.000001 -1.4262662514E-06 2.7578037666E-07
- b5 = -0.05 -0.005 -5.7609940901E-03 2.4712888219E-04
- b6 = 0.001 0.0001 2.4053735503E-04 1.0449373768E-05
- b7 = -0.000001 -0.0000001 -1.2314450199E-07 1.3027335327E-08
-
-Residual Sum of Squares: 1.5324382854E+00
-Residual Standard Deviation: 8.1803852243E-02
-Degrees of Freedom: 229
-Number of Observations: 236
-
-
-
-
-
-
-
-Data: y x
- .591E0 24.41E0
- 1.547E0 34.82E0
- 2.902E0 44.09E0
- 2.894E0 45.07E0
- 4.703E0 54.98E0
- 6.307E0 65.51E0
- 7.03E0 70.53E0
- 7.898E0 75.70E0
- 9.470E0 89.57E0
- 9.484E0 91.14E0
- 10.072E0 96.40E0
- 10.163E0 97.19E0
- 11.615E0 114.26E0
- 12.005E0 120.25E0
- 12.478E0 127.08E0
- 12.982E0 133.55E0
- 12.970E0 133.61E0
- 13.926E0 158.67E0
- 14.452E0 172.74E0
- 14.404E0 171.31E0
- 15.190E0 202.14E0
- 15.550E0 220.55E0
- 15.528E0 221.05E0
- 15.499E0 221.39E0
- 16.131E0 250.99E0
- 16.438E0 268.99E0
- 16.387E0 271.80E0
- 16.549E0 271.97E0
- 16.872E0 321.31E0
- 16.830E0 321.69E0
- 16.926E0 330.14E0
- 16.907E0 333.03E0
- 16.966E0 333.47E0
- 17.060E0 340.77E0
- 17.122E0 345.65E0
- 17.311E0 373.11E0
- 17.355E0 373.79E0
- 17.668E0 411.82E0
- 17.767E0 419.51E0
- 17.803E0 421.59E0
- 17.765E0 422.02E0
- 17.768E0 422.47E0
- 17.736E0 422.61E0
- 17.858E0 441.75E0
- 17.877E0 447.41E0
- 17.912E0 448.7E0
- 18.046E0 472.89E0
- 18.085E0 476.69E0
- 18.291E0 522.47E0
- 18.357E0 522.62E0
- 18.426E0 524.43E0
- 18.584E0 546.75E0
- 18.610E0 549.53E0
- 18.870E0 575.29E0
- 18.795E0 576.00E0
- 19.111E0 625.55E0
- .367E0 20.15E0
- .796E0 28.78E0
- 0.892E0 29.57E0
- 1.903E0 37.41E0
- 2.150E0 39.12E0
- 3.697E0 50.24E0
- 5.870E0 61.38E0
- 6.421E0 66.25E0
- 7.422E0 73.42E0
- 9.944E0 95.52E0
- 11.023E0 107.32E0
- 11.87E0 122.04E0
- 12.786E0 134.03E0
- 14.067E0 163.19E0
- 13.974E0 163.48E0
- 14.462E0 175.70E0
- 14.464E0 179.86E0
- 15.381E0 211.27E0
- 15.483E0 217.78E0
- 15.59E0 219.14E0
- 16.075E0 262.52E0
- 16.347E0 268.01E0
- 16.181E0 268.62E0
- 16.915E0 336.25E0
- 17.003E0 337.23E0
- 16.978E0 339.33E0
- 17.756E0 427.38E0
- 17.808E0 428.58E0
- 17.868E0 432.68E0
- 18.481E0 528.99E0
- 18.486E0 531.08E0
- 19.090E0 628.34E0
- 16.062E0 253.24E0
- 16.337E0 273.13E0
- 16.345E0 273.66E0
- 16.388E0 282.10E0
- 17.159E0 346.62E0
- 17.116E0 347.19E0
- 17.164E0 348.78E0
- 17.123E0 351.18E0
- 17.979E0 450.10E0
- 17.974E0 450.35E0
- 18.007E0 451.92E0
- 17.993E0 455.56E0
- 18.523E0 552.22E0
- 18.669E0 553.56E0
- 18.617E0 555.74E0
- 19.371E0 652.59E0
- 19.330E0 656.20E0
- 0.080E0 14.13E0
- 0.248E0 20.41E0
- 1.089E0 31.30E0
- 1.418E0 33.84E0
- 2.278E0 39.70E0
- 3.624E0 48.83E0
- 4.574E0 54.50E0
- 5.556E0 60.41E0
- 7.267E0 72.77E0
- 7.695E0 75.25E0
- 9.136E0 86.84E0
- 9.959E0 94.88E0
- 9.957E0 96.40E0
- 11.600E0 117.37E0
- 13.138E0 139.08E0
- 13.564E0 147.73E0
- 13.871E0 158.63E0
- 13.994E0 161.84E0
- 14.947E0 192.11E0
- 15.473E0 206.76E0
- 15.379E0 209.07E0
- 15.455E0 213.32E0
- 15.908E0 226.44E0
- 16.114E0 237.12E0
- 17.071E0 330.90E0
- 17.135E0 358.72E0
- 17.282E0 370.77E0
- 17.368E0 372.72E0
- 17.483E0 396.24E0
- 17.764E0 416.59E0
- 18.185E0 484.02E0
- 18.271E0 495.47E0
- 18.236E0 514.78E0
- 18.237E0 515.65E0
- 18.523E0 519.47E0
- 18.627E0 544.47E0
- 18.665E0 560.11E0
- 19.086E0 620.77E0
- 0.214E0 18.97E0
- 0.943E0 28.93E0
- 1.429E0 33.91E0
- 2.241E0 40.03E0
- 2.951E0 44.66E0
- 3.782E0 49.87E0
- 4.757E0 55.16E0
- 5.602E0 60.90E0
- 7.169E0 72.08E0
- 8.920E0 85.15E0
- 10.055E0 97.06E0
- 12.035E0 119.63E0
- 12.861E0 133.27E0
- 13.436E0 143.84E0
- 14.167E0 161.91E0
- 14.755E0 180.67E0
- 15.168E0 198.44E0
- 15.651E0 226.86E0
- 15.746E0 229.65E0
- 16.216E0 258.27E0
- 16.445E0 273.77E0
- 16.965E0 339.15E0
- 17.121E0 350.13E0
- 17.206E0 362.75E0
- 17.250E0 371.03E0
- 17.339E0 393.32E0
- 17.793E0 448.53E0
- 18.123E0 473.78E0
- 18.49E0 511.12E0
- 18.566E0 524.70E0
- 18.645E0 548.75E0
- 18.706E0 551.64E0
- 18.924E0 574.02E0
- 19.1E0 623.86E0
- 0.375E0 21.46E0
- 0.471E0 24.33E0
- 1.504E0 33.43E0
- 2.204E0 39.22E0
- 2.813E0 44.18E0
- 4.765E0 55.02E0
- 9.835E0 94.33E0
- 10.040E0 96.44E0
- 11.946E0 118.82E0
- 12.596E0 128.48E0
- 13.303E0 141.94E0
- 13.922E0 156.92E0
- 14.440E0 171.65E0
- 14.951E0 190.00E0
- 15.627E0 223.26E0
- 15.639E0 223.88E0
- 15.814E0 231.50E0
- 16.315E0 265.05E0
- 16.334E0 269.44E0
- 16.430E0 271.78E0
- 16.423E0 273.46E0
- 17.024E0 334.61E0
- 17.009E0 339.79E0
- 17.165E0 349.52E0
- 17.134E0 358.18E0
- 17.349E0 377.98E0
- 17.576E0 394.77E0
- 17.848E0 429.66E0
- 18.090E0 468.22E0
- 18.276E0 487.27E0
- 18.404E0 519.54E0
- 18.519E0 523.03E0
- 19.133E0 612.99E0
- 19.074E0 638.59E0
- 19.239E0 641.36E0
- 19.280E0 622.05E0
- 19.101E0 631.50E0
- 19.398E0 663.97E0
- 19.252E0 646.9E0
- 19.89E0 748.29E0
- 20.007E0 749.21E0
- 19.929E0 750.14E0
- 19.268E0 647.04E0
- 19.324E0 646.89E0
- 20.049E0 746.9E0
- 20.107E0 748.43E0
- 20.062E0 747.35E0
- 20.065E0 749.27E0
- 19.286E0 647.61E0
- 19.972E0 747.78E0
- 20.088E0 750.51E0
- 20.743E0 851.37E0
- 20.83E0 845.97E0
- 20.935E0 847.54E0
- 21.035E0 849.93E0
- 20.93E0 851.61E0
- 21.074E0 849.75E0
- 21.085E0 850.98E0
- 20.935E0 848.23E0
diff --git a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/Kirby2.dat b/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/Kirby2.dat
deleted file mode 100644
index 75cd80f..0000000
--- a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/Kirby2.dat
+++ /dev/null
@@ -1,211 +0,0 @@
-NIST/ITL StRD
-Dataset Name: Kirby2 (Kirby2.dat)
-
-File Format: ASCII
- Starting Values (lines 41 to 45)
- Certified Values (lines 41 to 50)
- Data (lines 61 to 211)
-
-Procedure: Nonlinear Least Squares Regression
-
-Description: These data are the result of a NIST study involving
- scanning electron microscope line with standards.
-
-
-Reference: Kirby, R., NIST (197?).
- Scanning electron microscope line width standards.
-
-
-
-
-
-
-
-
-Data: 1 Response (y)
- 1 Predictor (x)
- 151 Observations
- Average Level of Difficulty
- Observed Data
-
-Model: Rational Class (quadratic/quadratic)
- 5 Parameters (b1 to b5)
-
- y = (b1 + b2*x + b3*x**2) /
- (1 + b4*x + b5*x**2) + e
-
-
- Starting values Certified Values
-
- Start 1 Start 2 Parameter Standard Deviation
- b1 = 2 1.5 1.6745063063E+00 8.7989634338E-02
- b2 = -0.1 -0.15 -1.3927397867E-01 4.1182041386E-03
- b3 = 0.003 0.0025 2.5961181191E-03 4.1856520458E-05
- b4 = -0.001 -0.0015 -1.7241811870E-03 5.8931897355E-05
- b5 = 0.00001 0.00002 2.1664802578E-05 2.0129761919E-07
-
-Residual Sum of Squares: 3.9050739624E+00
-Residual Standard Deviation: 1.6354535131E-01
-Degrees of Freedom: 146
-Number of Observations: 151
-
-
-
-
-
-
-
-
-
-Data: y x
- 0.0082E0 9.65E0
- 0.0112E0 10.74E0
- 0.0149E0 11.81E0
- 0.0198E0 12.88E0
- 0.0248E0 14.06E0
- 0.0324E0 15.28E0
- 0.0420E0 16.63E0
- 0.0549E0 18.19E0
- 0.0719E0 19.88E0
- 0.0963E0 21.84E0
- 0.1291E0 24.00E0
- 0.1710E0 26.25E0
- 0.2314E0 28.86E0
- 0.3227E0 31.85E0
- 0.4809E0 35.79E0
- 0.7084E0 40.18E0
- 1.0220E0 44.74E0
- 1.4580E0 49.53E0
- 1.9520E0 53.94E0
- 2.5410E0 58.29E0
- 3.2230E0 62.63E0
- 3.9990E0 67.03E0
- 4.8520E0 71.25E0
- 5.7320E0 75.22E0
- 6.7270E0 79.33E0
- 7.8350E0 83.56E0
- 9.0250E0 87.75E0
- 10.2670E0 91.93E0
- 11.5780E0 96.10E0
- 12.9440E0 100.28E0
- 14.3770E0 104.46E0
- 15.8560E0 108.66E0
- 17.3310E0 112.71E0
- 18.8850E0 116.88E0
- 20.5750E0 121.33E0
- 22.3200E0 125.79E0
- 22.3030E0 125.79E0
- 23.4600E0 128.74E0
- 24.0600E0 130.27E0
- 25.2720E0 133.33E0
- 25.8530E0 134.79E0
- 27.1100E0 137.93E0
- 27.6580E0 139.33E0
- 28.9240E0 142.46E0
- 29.5110E0 143.90E0
- 30.7100E0 146.91E0
- 31.3500E0 148.51E0
- 32.5200E0 151.41E0
- 33.2300E0 153.17E0
- 34.3300E0 155.97E0
- 35.0600E0 157.76E0
- 36.1700E0 160.56E0
- 36.8400E0 162.30E0
- 38.0100E0 165.21E0
- 38.6700E0 166.90E0
- 39.8700E0 169.92E0
- 40.0300E0 170.32E0
- 40.5000E0 171.54E0
- 41.3700E0 173.79E0
- 41.6700E0 174.57E0
- 42.3100E0 176.25E0
- 42.7300E0 177.34E0
- 43.4600E0 179.19E0
- 44.1400E0 181.02E0
- 44.5500E0 182.08E0
- 45.2200E0 183.88E0
- 45.9200E0 185.75E0
- 46.3000E0 186.80E0
- 47.0000E0 188.63E0
- 47.6800E0 190.45E0
- 48.0600E0 191.48E0
- 48.7400E0 193.35E0
- 49.4100E0 195.22E0
- 49.7600E0 196.23E0
- 50.4300E0 198.05E0
- 51.1100E0 199.97E0
- 51.5000E0 201.06E0
- 52.1200E0 202.83E0
- 52.7600E0 204.69E0
- 53.1800E0 205.86E0
- 53.7800E0 207.58E0
- 54.4600E0 209.50E0
- 54.8300E0 210.65E0
- 55.4000E0 212.33E0
- 56.4300E0 215.43E0
- 57.0300E0 217.16E0
- 58.0000E0 220.21E0
- 58.6100E0 221.98E0
- 59.5800E0 225.06E0
- 60.1100E0 226.79E0
- 61.1000E0 229.92E0
- 61.6500E0 231.69E0
- 62.5900E0 234.77E0
- 63.1200E0 236.60E0
- 64.0300E0 239.63E0
- 64.6200E0 241.50E0
- 65.4900E0 244.48E0
- 66.0300E0 246.40E0
- 66.8900E0 249.35E0
- 67.4200E0 251.32E0
- 68.2300E0 254.22E0
- 68.7700E0 256.24E0
- 69.5900E0 259.11E0
- 70.1100E0 261.18E0
- 70.8600E0 264.02E0
- 71.4300E0 266.13E0
- 72.1600E0 268.94E0
- 72.7000E0 271.09E0
- 73.4000E0 273.87E0
- 73.9300E0 276.08E0
- 74.6000E0 278.83E0
- 75.1600E0 281.08E0
- 75.8200E0 283.81E0
- 76.3400E0 286.11E0
- 76.9800E0 288.81E0
- 77.4800E0 291.08E0
- 78.0800E0 293.75E0
- 78.6000E0 295.99E0
- 79.1700E0 298.64E0
- 79.6200E0 300.84E0
- 79.8800E0 302.02E0
- 80.1900E0 303.48E0
- 80.6600E0 305.65E0
- 81.2200E0 308.27E0
- 81.6600E0 310.41E0
- 82.1600E0 313.01E0
- 82.5900E0 315.12E0
- 83.1400E0 317.71E0
- 83.5000E0 319.79E0
- 84.0000E0 322.36E0
- 84.4000E0 324.42E0
- 84.8900E0 326.98E0
- 85.2600E0 329.01E0
- 85.7400E0 331.56E0
- 86.0700E0 333.56E0
- 86.5400E0 336.10E0
- 86.8900E0 338.08E0
- 87.3200E0 340.60E0
- 87.6500E0 342.57E0
- 88.1000E0 345.08E0
- 88.4300E0 347.02E0
- 88.8300E0 349.52E0
- 89.1200E0 351.44E0
- 89.5400E0 353.93E0
- 89.8500E0 355.83E0
- 90.2500E0 358.32E0
- 90.5500E0 360.20E0
- 90.9300E0 362.67E0
- 91.2000E0 364.53E0
- 91.5500E0 367.00E0
- 92.2000E0 371.30E0
diff --git a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/Lanczos1.dat b/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/Lanczos1.dat
deleted file mode 100644
index d23d5e4..0000000
--- a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/Lanczos1.dat
+++ /dev/null
@@ -1,84 +0,0 @@
-NIST/ITL StRD
-Dataset Name: Lanczos1 (Lanczos1.dat)
-
-File Format: ASCII
- Starting Values (lines 41 to 46)
- Certified Values (lines 41 to 51)
- Data (lines 61 to 84)
-
-Procedure: Nonlinear Least Squares Regression
-
-Description: These data are taken from an example discussed in
- Lanczos (1956). The data were generated to 14-digits
- of accuracy using
- f(x) = 0.0951*exp(-x) + 0.8607*exp(-3*x)
- + 1.5576*exp(-5*x).
-
-
-Reference: Lanczos, C. (1956).
- Applied Analysis.
- Englewood Cliffs, NJ: Prentice Hall, pp. 272-280.
-
-
-
-
-Data: 1 Response (y)
- 1 Predictor (x)
- 24 Observations
- Average Level of Difficulty
- Generated Data
-
-Model: Exponential Class
- 6 Parameters (b1 to b6)
-
- y = b1*exp(-b2*x) + b3*exp(-b4*x) + b5*exp(-b6*x) + e
-
-
-
- Starting values Certified Values
-
- Start 1 Start 2 Parameter Standard Deviation
- b1 = 1.2 0.5 9.5100000027E-02 5.3347304234E-11
- b2 = 0.3 0.7 1.0000000001E+00 2.7473038179E-10
- b3 = 5.6 3.6 8.6070000013E-01 1.3576062225E-10
- b4 = 5.5 4.2 3.0000000002E+00 3.3308253069E-10
- b5 = 6.5 4 1.5575999998E+00 1.8815731448E-10
- b6 = 7.6 6.3 5.0000000001E+00 1.1057500538E-10
-
-Residual Sum of Squares: 1.4307867721E-25
-Residual Standard Deviation: 8.9156129349E-14
-Degrees of Freedom: 18
-Number of Observations: 24
-
-
-
-
-
-
-
-
-Data: y x
- 2.513400000000E+00 0.000000000000E+00
- 2.044333373291E+00 5.000000000000E-02
- 1.668404436564E+00 1.000000000000E-01
- 1.366418021208E+00 1.500000000000E-01
- 1.123232487372E+00 2.000000000000E-01
- 9.268897180037E-01 2.500000000000E-01
- 7.679338563728E-01 3.000000000000E-01
- 6.388775523106E-01 3.500000000000E-01
- 5.337835317402E-01 4.000000000000E-01
- 4.479363617347E-01 4.500000000000E-01
- 3.775847884350E-01 5.000000000000E-01
- 3.197393199326E-01 5.500000000000E-01
- 2.720130773746E-01 6.000000000000E-01
- 2.324965529032E-01 6.500000000000E-01
- 1.996589546065E-01 7.000000000000E-01
- 1.722704126914E-01 7.500000000000E-01
- 1.493405660168E-01 8.000000000000E-01
- 1.300700206922E-01 8.500000000000E-01
- 1.138119324644E-01 9.000000000000E-01
- 1.000415587559E-01 9.500000000000E-01
- 8.833209084540E-02 1.000000000000E+00
- 7.833544019350E-02 1.050000000000E+00
- 6.976693743449E-02 1.100000000000E+00
- 6.239312536719E-02 1.150000000000E+00
diff --git a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/MGH17.dat b/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/MGH17.dat
deleted file mode 100644
index 584f73c..0000000
--- a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optimization/general/MGH17.dat
+++ /dev/null
@@ -1,93 +0,0 @@
-NIST/ITL StRD
-Dataset Name: MGH17 (MGH17.dat)
-
-File Format: ASCII
- Starting Values (lines 41 to 45)
- Certified Values (lines 41 to 50)
- Data (lines 61 to 93)
-
-Procedure: Nonlinear Least Squares Regression
-
-Description: This problem was found to be difficult for some very
- good algorithms.
-
- See More, J. J., Garbow, B. S., and Hillstrom, K. E.
- (1981). Testing unconstrained optimization software.
- ACM Transactions on Mathematical Software. 7(1):
- pp. 17-41.
-
-Reference: Osborne, M. R. (1972).
- Some aspects of nonlinear least squares
- calculations. In Numerical Methods for Nonlinear
- Optimization, Lootsma (Ed).
- New York, NY: Academic Press, pp. 171-189.
-
-Data: 1 Response (y)
- 1 Predictor (x)
- 33 Observations
- Average Level of Difficulty
- Generated Data
-
-Model: Exponential Class
- 5 Parameters (b1 to b5)
-
- y = b1 + b2*exp[-x*b4] + b3*exp[-x*b5] + e
-
-
-
- Starting values Certified Values
-
- Start 1 Start 2 Parameter Standard Deviation
- b1 = 50 0.5 3.7541005211E-01 2.0723153551E-03
- b2 = 150 1.5 1.9358469127E+00 2.2031669222E-01
- b3 = -100 -1 -1.4646871366E+00 2.2175707739E-01
- b4 = 1 0.01 1.2867534640E-02 4.4861358114E-04
- b5 = 2 0.02 2.2122699662E-02 8.9471996575E-04
-
-Residual Sum of Squares: 5.4648946975E-05
-Residual Standard Deviation: 1.3970497866E-03
-Degrees of Freedom: 28
-Number of Observations: 33
-
-
-
-
-
-
-
-
-
-Data: y x
- 8.440000E-01 0.000000E+00
- 9.080000E-01 1.000000E+01
- 9.320000E-01 2.000000E+01
- 9.360000E-01 3.000000E+01
- 9.250000E-01 4.000000E+01
- 9.080000E-01 5.000000E+01
- 8.810000E-01 6.000000E+01
- 8.500000E-01 7.000000E+01
- 8.180000E-01 8.000000E+01
- 7.840000E-01 9.000000E+01
- 7.510000E-01 1.000000E+02
- 7.180000E-01 1.100000E+02
- 6.850000E-01 1.200000E+02
- 6.580000E-01 1.300000E+02
- 6.280000E-01 1.400000E+02
- 6.030000E-01 1.500000E+02
- 5.800000E-01 1.600000E+02
- 5.580000E-01 1.700000E+02
- 5.380000E-01 1.800000E+02
- 5.220000E-01 1.900000E+02
- 5.060000E-01 2.000000E+02
- 4.900000E-01 2.100000E+02
- 4.780000E-01 2.200000E+02
- 4.670000E-01 2.300000E+02
- 4.570000E-01 2.400000E+02
- 4.480000E-01 2.500000E+02
- 4.380000E-01 2.600000E+02
- 4.310000E-01 2.700000E+02
- 4.240000E-01 2.800000E+02
- 4.200000E-01 2.900000E+02
- 4.140000E-01 3.000000E+02
- 4.110000E-01 3.100000E+02
- 4.060000E-01 3.200000E+02
[commons-math] 09/09: MATH-1623: Add parameterized unit tests for
simplex-based optimizers.
Posted by er...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
erans pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-math.git
commit fdbb8b98f5c0dba55d1bc607434ea00e2b9c3145
Author: Gilles Sadowski <gi...@gmail.com>
AuthorDate: Mon Aug 9 18:27:00 2021 +0200
MATH-1623: Add parameterized unit tests for simplex-based optimizers.
---
.../scalar/noderiv/SimplexOptimizerTest.java | 220 +++++++++++++++++++++
.../std_test_func.simplex.multidirectional.csv | 44 +++++
.../noderiv/std_test_func.simplex.nelder_mead.csv | 44 +++++
3 files changed, 308 insertions(+)
diff --git a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/SimplexOptimizerTest.java b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/SimplexOptimizerTest.java
new file mode 100644
index 0000000..bcf09e7
--- /dev/null
+++ b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/SimplexOptimizerTest.java
@@ -0,0 +1,220 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv;
+
+import java.util.Arrays;
+import org.opentest4j.AssertionFailedError;
+import org.junit.jupiter.api.Assertions;
+import org.junit.jupiter.api.extension.ParameterContext;
+import org.junit.jupiter.params.ParameterizedTest;
+import org.junit.jupiter.params.aggregator.ArgumentsAggregator;
+import org.junit.jupiter.params.aggregator.ArgumentsAccessor;
+import org.junit.jupiter.params.aggregator.ArgumentsAggregationException;
+import org.junit.jupiter.params.aggregator.AggregateWith;
+import org.junit.jupiter.params.provider.CsvFileSource;
+import org.apache.commons.math4.legacy.core.MathArrays;
+import org.apache.commons.math4.legacy.analysis.MultivariateFunction;
+import org.apache.commons.math4.legacy.optim.InitialGuess;
+import org.apache.commons.math4.legacy.optim.MaxEval;
+import org.apache.commons.math4.legacy.optim.PointValuePair;
+import org.apache.commons.math4.legacy.optim.nonlinear.scalar.GoalType;
+import org.apache.commons.math4.legacy.optim.nonlinear.scalar.ObjectiveFunction;
+import org.apache.commons.math4.legacy.optim.nonlinear.scalar.TestFunction;
+
+/**
+ * Tests for {@link SimplexOptimizer simplex-based algorithms}.
+ */
+public class SimplexOptimizerTest {
+ private static final String NELDER_MEAD_INPUT_FILE = "std_test_func.simplex.nelder_mead.csv";
+ private static final String MULTIDIRECTIONAL_INPUT_FILE = "std_test_func.simplex.multidirectional.csv";
+
+ @ParameterizedTest
+ @CsvFileSource(resources = NELDER_MEAD_INPUT_FILE)
+ void testFunctionWithNelderMead(@AggregateWith(TaskAggregator.class) Task task) {
+ task.run(new NelderMeadTransform());
+ }
+
+ @ParameterizedTest
+ @CsvFileSource(resources = MULTIDIRECTIONAL_INPUT_FILE)
+ void testFunctionWithMultiDirectional(@AggregateWith(TaskAggregator.class) Task task) {
+ task.run(new MultiDirectionalTransform());
+ }
+
+ /**
+ * Optimization task.
+ */
+ public static class Task {
+ /** Function evaluations hard count (debugging). */
+ private static final int FUNC_EVAL_DEBUG = 20000;
+ /** Default convergence criterion. */
+ private static final double CONVERGENCE_CHECK = 1e-9;
+ /** Default simplex size. */
+ private static final double SIDE_LENGTH = 1;
+ /** Function. */
+ private final MultivariateFunction f;
+ /** Initial value. */
+ private final double[] start;
+ /** Optimum. */
+ private final double[] optimum;
+ /** Tolerance. */
+ private final double pointTolerance;
+ /** Allowed function evaluations. */
+ private final int functionEvaluations;
+ /** Repeats on failure. */
+ private final int repeatsOnFailure;
+ /** Range of random noise. */
+ private double jitter;
+
+ /**
+ * @param f Test function.
+ * @param start Start point.
+ * @param optimum Optimum.
+ * @param pointTolerance Allowed distance between result and
+ * {@code optimum}.
+ * @param functionEvaluations Allowed number of function evaluations.
+ * @param repeatsOnFailure Maximum number of times to rerun when an
+ * {@link AssertionFailedError} is thrown.
+ * @param jitter Size of random jitter.
+ */
+ Task(MultivariateFunction f,
+ double[] start,
+ double[] optimum,
+ double pointTolerance,
+ int functionEvaluations,
+ int repeatsOnFailure,
+ double jitter) {
+ this.f = f;
+ this.start = start;
+ this.optimum = optimum;
+ this.pointTolerance = pointTolerance;
+ this.functionEvaluations = functionEvaluations;
+ this.repeatsOnFailure = repeatsOnFailure;
+ this.jitter = jitter;
+ }
+
+ @Override
+ public String toString() {
+ return f.toString();
+ }
+
+ /**
+ * @param factory Simplex transform factory.
+ */
+ public void run(Simplex.TransformFactory factory) {
+ // Let run with a maximum number of evaluations larger than expected
+ // (as specified by "functionEvaluations") in order to have the unit
+ // test failure message (see assertion below) report the actual number
+ // required by the current code.
+ final int maxEval = Math.max(functionEvaluations, FUNC_EVAL_DEBUG);
+
+ int currentRetry = -1;
+ AssertionFailedError lastFailure = null;
+ while (currentRetry++ <= repeatsOnFailure) {
+ try {
+ final String name = f.toString();
+
+ final SimplexOptimizer optim = new SimplexOptimizer(-1, CONVERGENCE_CHECK);
+ final Simplex initialSimplex =
+ Simplex.alongAxes(OptimTestUtils.point(start.length,
+ SIDE_LENGTH,
+ jitter));
+ final double[] startPoint = OptimTestUtils.point(start, jitter);
+ final PointValuePair result =
+ optim.optimize(new MaxEval(maxEval),
+ new ObjectiveFunction(f),
+ GoalType.MINIMIZE,
+ new InitialGuess(startPoint),
+ initialSimplex,
+ factory);
+
+ final double[] endPoint = result.getPoint();
+ final double funcValue = result.getValue();
+ final double dist = MathArrays.distance(optimum, endPoint);
+ Assertions.assertEquals(0d, dist, pointTolerance,
+ name + ": distance to optimum" +
+ " f(" + Arrays.toString(endPoint) + ")=" +
+ funcValue);
+
+ final int nEval = optim.getEvaluations();
+ Assertions.assertTrue(nEval < functionEvaluations,
+ name + ": nEval=" + nEval);
+
+ break; // Assertions passed: Retry not neccessary.
+ } catch (AssertionFailedError e) {
+ if (currentRetry >= repeatsOnFailure) {
+ // Allowed repeats have been exhausted: Bail out.
+ throw e;
+ }
+ }
+ }
+ }
+ }
+
+ /**
+ * Helper for preparing a {@link Task}.
+ */
+ public static class TaskAggregator implements ArgumentsAggregator {
+ @Override
+ public Object aggregateArguments(ArgumentsAccessor a,
+ ParameterContext context)
+ throws ArgumentsAggregationException {
+
+ int index = 0; // Argument index.
+
+ final TestFunction funcGen = a.get(index++, TestFunction.class);
+ final int dim = a.getInteger(index++);
+ final double[] start = toArrayOfDoubles(a.getString(index++), dim);
+ final double[] optimum = toArrayOfDoubles(a.getString(index++), dim);
+ final double pointTol = a.getDouble(index++);
+ final int funcEval = a.getInteger(index++);
+ final int repeat = a.getInteger(index++);
+ final double jitter = a.getDouble(index++);
+
+ return new Task(funcGen.withDimension(dim),
+ start,
+ optimum,
+ pointTol,
+ funcEval,
+ repeat,
+ jitter);
+ }
+
+ /**
+ * @param params Comma-separated list of values.
+ * @param dim Expected number of values.
+ * @return an array of {@code double} values.
+ * @throws ArgumentsAggregationException if the number of values
+ * is not equal to {@code dim}.
+ */
+ private static double[] toArrayOfDoubles(String params,
+ int dim) {
+ final String[] s = params.trim().split("\\s+");
+
+ if (s.length != dim) {
+ final String msg = "Expected " + dim + " values: " + Arrays.toString(s);
+ throw new ArgumentsAggregationException(msg);
+ }
+
+ final double[] p = new double[dim];
+ for (int i = 0; i < dim; i++) {
+ p[i] = Double.valueOf(s[i]);
+ }
+
+ return p;
+ }
+ }
+}
diff --git a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/std_test_func.simplex.multidirectional.csv b/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/std_test_func.simplex.multidirectional.csv
new file mode 100644
index 0000000..3bc6750
--- /dev/null
+++ b/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/std_test_func.simplex.multidirectional.csv
@@ -0,0 +1,44 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+#
+# CSV Format defined in "SimplexOptimizerTest.Task" class.
+# Columns are:
+# 0: function name (value from "TestFunction" enum)
+# 1: space dimension (n)
+# 2: nominal start point ("n" space-separated values)
+# 3: optimum ("n" space-separated values)
+# 4: maximum expected distance from the result to the optimum
+# 5: expected number of function evaluations
+# 6: number of retries in case of assertion failure
+# 7: size of the random noise (to generate slightly different initial conditions)
+#
+# Caveat: Some tests are commented out (cf. JIRA: MATH-1552).
+#
+PARABOLA, 4, 2.5 3.1 4.6 5.8, 0 0 0 0, 1e-4, 340, 3, 2e-1
+ROSENBROCK, 2, -1.2 1, 1 1, 2e-3, 9200, 3, 1e-1
+ROSENBROCK, 10, -0.1 0.1 0.2 -0.1 -0.2 0.3 0.2 -0.1 0.2 -0.3, 1 1 1 1 1 1 1 1 1 1, 3e-3, 100000, 3, 5e-2
+#POWELL, 4, 3 -1 -2 1, 0 0 0 0, 5e-3, 420, 3, 1e-1
+CIGAR, 13, -1.2 2.3 -3.2 2.1 1.2 -2.3 3.2 -2.1 -1.2 2.3 -3.2 2.1 -1.2, 0 0 0 0 0 0 0 0 0 0 0 0 0, 1e-6, 7000, 3, 1e-1
+SPHERE, 13, -1.2 2.3 -3.2 2.1 1.2 -2.3 3.2 -2.1 -1.2 2.3 -3.2 2.1 -1.2, 0 0 0 0 0 0 0 0 0 0 0 0 0, 5e-5, 3600, 3, 1e-1
+ELLI, 10, 2 3 4 -3 -2 -1 2 3 4 3, 0 0 0 0 0 0 0 0 0 0, 1e-4, 50000, 3, 1e-1
+TWO_AXES, 10, 2 3 4 -3 -2 -1 2 3 4 3, 0 0 0 0 0 0 0 0 0 0, 1e-6, 3200, 3, 1e-1
+CIG_TAB, 10, 2 3 4 -3 -2 -1 2 3 4 3, 0 0 0 0 0 0 0 0 0 0, 5e-6, 2700, 3, 1e-1
+TABLET, 11, 2 3 4 -3 -2 -1 2 3 4 3 -1, 0 0 0 0 0 0 0 0 0 0 0, 5e-6, 3000, 3, 1e-1
+DIFF_POW, 7, 1 -1 1 -1 1 -1 1, 0 0 0 0 0 0 0, 5e-4, 2500, 3, 1e-1
+SS_DIFF_POW, 6, -3.2 2.1 1.2 -2.3 3.2 -2.1, 0 0 0 0 0 0, 1e-3, 4000, 3, 1e-1
+ACKLEY, 4, 3 4 -3 -2, 0 0 0 0, 1e-6, 700, 3, 5e-1
+#RASTRIGIN, 4, 3 4 -3 -2, 0 0 0 0, 1e-6, 10000, 3, 5e-1
diff --git a/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/std_test_func.simplex.nelder_mead.csv b/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/std_test_func.simplex.nelder_mead.csv
new file mode 100644
index 0000000..532b769
--- /dev/null
+++ b/commons-math-legacy/src/test/resources/org/apache/commons/math4/legacy/optim/nonlinear/scalar/noderiv/std_test_func.simplex.nelder_mead.csv
@@ -0,0 +1,44 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+#
+# CSV Format defined in "SimplexOptimizerTest.Task" class.
+# Columns are:
+# 0: function name (value from "TestFunction" enum)
+# 1: space dimension (n)
+# 2: nominal start point ("n" space-separated values)
+# 3: optimum ("n" space-separated values)
+# 4: maximum expected distance from the result to the optimum
+# 5: expected number of function evaluations
+# 6: number of retries in case of assertion failure
+# 7: size of the random noise (to generate slightly different initial conditions)
+#
+# Caveat: Some tests are commented out (cf. JIRA: MATH-1552).
+#
+PARABOLA, 4, 2.5 3.1 4.6 5.8, 0 0 0 0, 1e-4, 200, 3, 2e-1
+ROSENBROCK, 2, -1.2 1, 1 1, 1e-4, 180, 3, 1e-1
+ROSENBROCK, 10, -0.1 0.1 0.2 -0.1 -0.2 0.3 0.2 -0.1 0.2 -0.3, 1 1 1 1 1 1 1 1 1 1, 5e-5, 9000, 3, 5e-2
+POWELL, 4, 3 -1 -2 1, 0 0 0 0, 5e-3, 420, 3, 1e-1
+CIGAR, 13, -1.2 2.3 -3.2 2.1 1.2 -2.3 3.2 -2.1 -1.2 2.3 -3.2 2.1 -1.2, 0 0 0 0 0 0 0 0 0 0 0 0 0, 5e-5, 7000, 3, 1e-1
+SPHERE, 13, -1.2 2.3 -3.2 2.1 1.2 -2.3 3.2 -2.1 -1.2 2.3 -3.2 2.1 -1.2, 0 0 0 0 0 0 0 0 0 0 0 0 0, 5e-4, 3000, 3, 1e-1
+ELLI, 10, 2 3 4 -3 -2 -1 2 3 4 3, 0 0 0 0 0 0 0 0 0 0, 1e-4, 50000, 3, 1e-1
+#TWO_AXES, 10, 2 3 4 -3 -2 -1 2 3 4 3, 0 0 0 0 0 0 0 0 0 0, 1e-4, 5000, 3, 1e-1
+#CIG_TAB, 10, 2 3 4 -3 -2 -1 2 3 4 3, 0 0 0 0 0 0 0 0 0 0, 1e-4, 7000, 3, 1e-1
+TABLET, 11, 2 3 4 -3 -2 -1 2 3 4 3 -1, 0 0 0 0 0 0 0 0 0 0 0, 2e-4, 3100, 3, 1e-1
+#DIFF_POW, 7, 1 -1 1 -1 1 -1 1, 0 0 0 0 0 0 0, 5e-4, 2500, 3, 1e-1
+SS_DIFF_POW, 6, -3.2 2.1 1.2 -2.3 3.2 -2.1, 0 0 0 0 0 0, 1e-3, 4000, 3, 1e-1
+ACKLEY, 4, 3 4 -3 -2, 0 0 0 0, 1e-6, 350, 3, 5e-1
+#RASTRIGIN, 4, 3 4 -3 -2, 0 0 0 0, 1e-6, 10000, 3, 5e-1
[commons-math] 06/09: Web links to reference definitions of test
functions.
Posted by er...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
erans pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-math.git
commit 7ce320700ad0b4d0befcdbb96567d7363a561fd0
Author: Gilles Sadowski <gi...@gmail.com>
AuthorDate: Mon Aug 9 17:56:52 2021 +0200
Web links to reference definitions of test functions.
Changed "TestFunction.DIFF_POW" to match the definition.
---
.../commons/math4/legacy/optim/nonlinear/scalar/TestFunction.java | 6 ++++--
1 file changed, 4 insertions(+), 2 deletions(-)
diff --git a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/TestFunction.java b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/TestFunction.java
index 44ebc4f..798ada1 100644
--- a/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/TestFunction.java
+++ b/commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/optim/nonlinear/scalar/TestFunction.java
@@ -24,6 +24,7 @@ import org.apache.commons.math4.legacy.core.jdkmath.AccurateMath;
* Multivariate scalar functions for testing an optimizer.
*/
public enum TestFunction {
+ // https://www.sfu.ca/~ssurjano/spheref.html
SPHERE(dim -> {
return x -> {
double f = 0;
@@ -87,12 +88,12 @@ public enum TestFunction {
return 1 - elli.value(x);
};
}),
+ // https://www.sfu.ca/~ssurjano/sumpow.html
DIFF_POW(dim -> {
- final double A = 10d / (dim - 1);
return x -> {
double f = 0;
for (int i = 0; i < dim; i++) {
- f += AccurateMath.pow(Math.abs(x[i]), A * i + 2);
+ f += AccurateMath.pow(Math.abs(x[i]), i + 2);
}
return f;
};
@@ -104,6 +105,7 @@ public enum TestFunction {
return f;
};
}),
+ // https://www.sfu.ca/~ssurjano/ackley.html
ACKLEY(dim -> {
final double A = 20;
final double B = 0.2;