You are viewing a plain text version of this content. The canonical link for it is here.
Posted to user@commons.apache.org by Kim van der Linde <ki...@kimvdlinde.com> on 2004/08/05 05:06:56 UTC
[MATH] How stable are the matrix classes?
Hi All,
I have a question. How stable are the matrix classes as implemented?
Cheers,
Kim
--
http://www.kimvdlinde.com
---------------------------------------------------------------------
To unsubscribe, e-mail: commons-user-unsubscribe@jakarta.apache.org
For additional commands, e-mail: commons-user-help@jakarta.apache.org
Re: [MATH] Contributing
Posted by Kim van der Linde <ki...@kimvdlinde.com>.
Hi Mark,
Logically, the modules have to fit in with the existing structure. I was
anyway already planning to revise the MVE module and start to
incorporate the commons-MATH package. I wil have a look at the extisting
package and come back with classes that would fit in, or post the
questions here when I can not figure it out.
Cheers,
Kim
Mark R. Diggory wrote:
> Hi Kim,
>
> I think we have a bit of work to complete in extending the api into
> areas of multivariate analysis/statistics and would be interested in
> implementations in that area. I think the big thing is that we would
> like to see implementation be based on the existing library architecture
> as well, so goal might be to see if these could be easily modified to
> work with the existing Matrix/Statistics classes in our api.
>
> thanks,
> Mark
>
> Kim van der Linde wrote:
>
>> Hi Phil,
>>
>> Thanks for the answer, and I was talking about numerical stability.
>>
>> On an other track, if the math group is interested, I can provide some
>> classes for Multivariate Minimum Volume Ellipsoid outlier detection,
>> Covariances, common matrix types as SSCP, covariance and correlation,
>> multivariate euclidian and mahalanobis distances and maybe some other
>> classes as model 2 regressions (RMA: Reduced Major Axis). Interested?
>>
>> Kim
>>
>> Phil Steitz wrote:
>>
>>> Kim van der Linde wrote:
>>>
>>>> Hi All,
>>>>
>>>> I have a question. How stable are the matrix classes as implemented?
>>>>
>>>> Cheers,
>>>>
>>>> Kim
>>>>
>>>>
>>> Hi Kim,
>>>
>>> If your question is about the API, then the answer is that we are
>>> planning no changes prior to the imminent 1.0 release. If your
>>> question is about numerical stability, performance or correctness
>>> there are two things to say:
>>>
>>> 1) The javadoc describes the algorithms used to perform matrix
>>> operations. The algorithms are general purpose, so they will not
>>> always give the best results (or performance) for all matrices. For
>>> most practical problems, the implementations should work fine. Have a
>>> look at the docs and consult a numerical linear algebra text (or a
>>> numerical analyst) or ask more specific questions here if you want to
>>> know about individual operations. Eventually, we will provide support
>>> for a wider variety of algorithms. For 1.0, what you see now is what
>>> you get.
>>>
>>> 2) Our confidence in implementation correctness is based pretty much
>>> entirely on the unit tests at this point. This is new code, not yet
>>> released. We are in the process of cutting a release candidate
>>> including these classes. User feedback and/or additional test cases
>>> will be greatly appreciated.
>>>
>>> Phil
>>>
>>> ---------------------------------------------------------------------
>>> To unsubscribe, e-mail: commons-user-unsubscribe@jakarta.apache.org
>>> For additional commands, e-mail: commons-user-help@jakarta.apache.org
>>>
>>
>
--
http://www.kimvdlinde.com
---------------------------------------------------------------------
To unsubscribe, e-mail: commons-dev-unsubscribe@jakarta.apache.org
For additional commands, e-mail: commons-dev-help@jakarta.apache.org
Re: [MATH] How stable are the matrix classes?
Posted by "Mark R. Diggory" <md...@latte.harvard.edu>.
Hi Kim,
I think we have a bit of work to complete in extending the api into
areas of multivariate analysis/statistics and would be interested in
implementations in that area. I think the big thing is that we would
like to see implementation be based on the existing library architecture
as well, so goal might be to see if these could be easily modified to
work with the existing Matrix/Statistics classes in our api.
thanks,
Mark
Kim van der Linde wrote:
> Hi Phil,
>
> Thanks for the answer, and I was talking about numerical stability.
>
> On an other track, if the math group is interested, I can provide some
> classes for Multivariate Minimum Volume Ellipsoid outlier detection,
> Covariances, common matrix types as SSCP, covariance and correlation,
> multivariate euclidian and mahalanobis distances and maybe some other
> classes as model 2 regressions (RMA: Reduced Major Axis). Interested?
>
> Kim
>
> Phil Steitz wrote:
>
>> Kim van der Linde wrote:
>>
>>> Hi All,
>>>
>>> I have a question. How stable are the matrix classes as implemented?
>>>
>>> Cheers,
>>>
>>> Kim
>>>
>>>
>> Hi Kim,
>>
>> If your question is about the API, then the answer is that we are
>> planning no changes prior to the imminent 1.0 release. If your
>> question is about numerical stability, performance or correctness
>> there are two things to say:
>>
>> 1) The javadoc describes the algorithms used to perform matrix
>> operations. The algorithms are general purpose, so they will not
>> always give the best results (or performance) for all matrices. For
>> most practical problems, the implementations should work fine. Have a
>> look at the docs and consult a numerical linear algebra text (or a
>> numerical analyst) or ask more specific questions here if you want to
>> know about individual operations. Eventually, we will provide support
>> for a wider variety of algorithms. For 1.0, what you see now is what
>> you get.
>>
>> 2) Our confidence in implementation correctness is based pretty much
>> entirely on the unit tests at this point. This is new code, not yet
>> released. We are in the process of cutting a release candidate
>> including these classes. User feedback and/or additional test cases
>> will be greatly appreciated.
>>
>> Phil
>>
>> ---------------------------------------------------------------------
>> To unsubscribe, e-mail: commons-user-unsubscribe@jakarta.apache.org
>> For additional commands, e-mail: commons-user-help@jakarta.apache.org
>>
>
--
Mark Diggory
Software Developer
Harvard MIT Data Center
http://www.hmdc.harvard.edu
---------------------------------------------------------------------
To unsubscribe, e-mail: commons-dev-unsubscribe@jakarta.apache.org
For additional commands, e-mail: commons-dev-help@jakarta.apache.org
Re: [MATH] How stable are the matrix classes?
Posted by Kim van der Linde <ki...@kimvdlinde.com>.
Hi Phil,
Thanks for the answer, and I was talking about numerical stability.
On an other track, if the math group is interested, I can provide some
classes for Multivariate Minimum Volume Ellipsoid outlier detection,
Covariances, common matrix types as SSCP, covariance and correlation,
multivariate euclidian and mahalanobis distances and maybe some other
classes as model 2 regressions (RMA: Reduced Major Axis). Interested?
Kim
Phil Steitz wrote:
> Kim van der Linde wrote:
>
>> Hi All,
>>
>> I have a question. How stable are the matrix classes as implemented?
>>
>> Cheers,
>>
>> Kim
>>
>>
> Hi Kim,
>
> If your question is about the API, then the answer is that we are
> planning no changes prior to the imminent 1.0 release. If your question
> is about numerical stability, performance or correctness there are two
> things to say:
>
> 1) The javadoc describes the algorithms used to perform matrix
> operations. The algorithms are general purpose, so they will not always
> give the best results (or performance) for all matrices. For most
> practical problems, the implementations should work fine. Have a look at
> the docs and consult a numerical linear algebra text (or a numerical
> analyst) or ask more specific questions here if you want to know about
> individual operations. Eventually, we will provide support for a wider
> variety of algorithms. For 1.0, what you see now is what you get.
>
> 2) Our confidence in implementation correctness is based pretty much
> entirely on the unit tests at this point. This is new code, not yet
> released. We are in the process of cutting a release candidate including
> these classes. User feedback and/or additional test cases will be
> greatly appreciated.
>
> Phil
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: commons-user-unsubscribe@jakarta.apache.org
> For additional commands, e-mail: commons-user-help@jakarta.apache.org
>
--
http://www.kimvdlinde.com
---------------------------------------------------------------------
To unsubscribe, e-mail: commons-dev-unsubscribe@jakarta.apache.org
For additional commands, e-mail: commons-dev-help@jakarta.apache.org
Re: [MATH] How stable are the matrix classes?
Posted by Phil Steitz <ph...@steitz.com>.
Kim van der Linde wrote:
> Hi All,
>
> I have a question. How stable are the matrix classes as implemented?
>
> Cheers,
>
> Kim
>
>
Hi Kim,
If your question is about the API, then the answer is that we are planning
no changes prior to the imminent 1.0 release. If your question is about
numerical stability, performance or correctness there are two things to say:
1) The javadoc describes the algorithms used to perform matrix operations.
The algorithms are general purpose, so they will not always give the
best results (or performance) for all matrices. For most practical
problems, the implementations should work fine. Have a look at the docs
and consult a numerical linear algebra text (or a numerical analyst) or
ask more specific questions here if you want to know about individual
operations. Eventually, we will provide support for a wider variety of
algorithms. For 1.0, what you see now is what you get.
2) Our confidence in implementation correctness is based pretty much
entirely on the unit tests at this point. This is new code, not yet
released. We are in the process of cutting a release candidate including
these classes. User feedback and/or additional test cases will be greatly
appreciated.
Phil
---------------------------------------------------------------------
To unsubscribe, e-mail: commons-user-unsubscribe@jakarta.apache.org
For additional commands, e-mail: commons-user-help@jakarta.apache.org