svn commit: r1166965 - /commons/proper/math/trunk/src/main/java/org/apache/commons/math/linear/SingularValueDecompositionImpl.java

[ce...@apache.org]

Author: celestin
Date: Fri Sep  9 02:14:15 2011
New Revision: 1166965

URL: http://svn.apache.org/viewvc?rev=1166965&view=rev
Log:
Removed double[][] solve(double[][]) from SingularValueDecompositionImpl.Solver

Modified:
    commons/proper/math/trunk/src/main/java/org/apache/commons/math/linear/SingularValueDecompositionImpl.java

Modified: commons/proper/math/trunk/src/main/java/org/apache/commons/math/linear/SingularValueDecompositionImpl.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math/linear/SingularValueDecompositionImpl.java?rev=1166965&r1=1166964&r2=1166965&view=diff
==============================================================================
--- commons/proper/math/trunk/src/main/java/org/apache/commons/math/linear/SingularValueDecompositionImpl.java (original)
+++ commons/proper/math/trunk/src/main/java/org/apache/commons/math/linear/SingularValueDecompositionImpl.java Fri Sep  9 02:14:15 2011
@@ -632,22 +632,6 @@ public class SingularValueDecompositionI
          * @throws org.apache.commons.math.exception.DimensionMismatchException
          * if the matrices dimensions do not match.
          */
-        public double[][] solve(final double[][] b) {
-            return pseudoInverse.multiply(MatrixUtils.createRealMatrix(b)).getData();
-        }
-
-        /**
-         * Solve the linear equation A × X = B in least square sense.
-         * <p>
-         * The m&times;n matrix A may not be square, the solution X is such that
-         * ||A &times; X - B|| is minimal.
-         * </p>
-         *
-         * @param b Right-hand side of the equation A &times; X = B
-         * @return a matrix X that minimizes the two norm of A &times; X - B
-         * @throws org.apache.commons.math.exception.DimensionMismatchException
-         * if the matrices dimensions do not match.
-         */
         public RealMatrix solve(final RealMatrix b) {
             return pseudoInverse.multiply(b);
         }