[
https://issues.apache.org/jira/browse/MATH-1656?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17741642#comment-17741642
]
François Laferrière commented on MATH-1656:
-------------------------------------------
{quote}I believe that the usual way is logging. Originally, CM avoided it (as
any and all external dependencies), but we are not there anymore. It would make
sense (?) to depend on the
[Log4J2|https://logging.apache.org/log4j/2.x/manual/api-separation.html] API.
{quote}
I am not sure that relying on log4j is well suited for ACM. Beside the fact
that it introduce a quite bulky dependency, the main problem I see is that it
generate a lot of I/O that may be an issue for some use cases, for instance
* Embedded applications
* CPU intensive applications
To cut short to the discussion, I would agree to remove the DebugMode option
and store the trajectory all the time. They do not take that much memory.
> Classical multivariate optimizers (gradient descent, Raphson-Newton, BFGS)
> are missing
> --------------------------------------------------------------------------------------
>
> Key: MATH-1656
> URL: https://issues.apache.org/jira/browse/MATH-1656
> Project: Commons Math
> Issue Type: Wish
> Components: legacy
> Affects Versions: 4.0-beta1
> Reporter: François Laferrière
> Priority: Major
> Labels: features
> Attachments: MATH-1656-GradientDescent-Newton-BFGS-v2.0.zip,
> MATH-1658-GradientDescent-Newton-BFGS.patch, Screenshot from 2023-07-10
> 12-13-38.png
>
>
> Some classical multivariate such as
> * gradient descent,
> * Raphson-Newton,
> * BFGS
> are missing.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
