Re: [R] Rdonlp2 - an extension library for constrained optimization
Ryuichi Tamura wrote: Please can you put your package on the CRAN server ? Many thanks Diethelm Wuertz Hello R-list, I have released an update version (0.3-1) of Rdonlp2. Some (fatal) bugs which may kill interpreter should be fixed. In addition, user-visible changes are: * *.mes, *.pro files are not created if name=NULL(this is default) in donlp2(). * use machine-epsilons defined in R for internal calculations(step-size, etc.). * numeric hessian is now evaluated at the optimum and calculated with the algorithm specified in 'difftype' in donlp2.control(). Setting difftype=2 will produce (roughly) same value as optim() does. I sincerely appreciate users who sent me useful comments. Windows Binary, OSX Universal Binary, Source file are available at: http://arumat.net/Rdonlp2/ Regards, TAMURA Ryuichi, mailto: [EMAIL PROTECTED] __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Rdonlp2 - an extension library for constrained optimization
Hello R-list, I have released an update version (0.3-1) of Rdonlp2. Some (fatal) bugs which may kill interpreter should be fixed. In addition, user-visible changes are: * *.mes, *.pro files are not created if name=NULL(this is default) in donlp2(). * use machine-epsilons defined in R for internal calculations(step-size, etc.). * numeric hessian is now evaluated at the optimum and calculated with the algorithm specified in 'difftype' in donlp2.control(). Setting difftype=2 will produce (roughly) same value as optim() does. I sincerely appreciate users who sent me useful comments. Windows Binary, OSX Universal Binary, Source file are available at: http://arumat.net/Rdonlp2/ Regards, TAMURA Ryuichi, mailto: [EMAIL PROTECTED] __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Rdonlp2 - an extension library for constrained optimization
Hello R-lists, I have created an extension library called Rdonlp2. This is a wrapper for Peter Spellucci's DONLP2: http://plato.la.asu.edu/donlp2.html DONLP2 is a standalone C program that can solve following minimization problem: min f(x) subject to * parameter bounds * linear (equality) constraints * nonlinear (equality) constraints Rdonlp2 is a bridge over R and DONLP2, that is, you can execute the constrained optimization with R function and objects and get detailed outputs from DONLP2 as R objects. Some tutorial, source code, Windows binary, OSX binary are available from: http://arumat.net/Rdonlp2/ The package contains the tutorial as PDF, and 4 demo scripts. Any comments or suggestions are welcome. Regards, Ryuichi Tamura __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Rdonlp2 - an extension library for constrained optimization
Hello R-lists, I have created an extension library called Rdonlp2. This is a wrapper for Peter Spellucci's DONLP2: http://plato.la.asu.edu/donlp2.html DONLP2 is a standalone C program that can solve following minimization problem: min f(x) subject to * parameter bounds * linear (equality) constraints * nonlinear (equality) constraints Rdonlp2 is a bridge between R and DONLP2, that is, you can execute the constrained optimization with R function and objects and get detailed outputs from DONLP2 as R objects. Some tutorial, source code, Windows binary, OSX binary are available from: http://arumat.net/Rdonlp2/ The package contains the tutorial as PDF, and 4 demo scripts. Any comments or suggestions are welcome. Regards, Ryuichi Tamura -- This message was sent on behalf of [EMAIL PROTECTED] at openSubscriber.com http://www.opensubscriber.com/messages/r-help@stat.math.ethz.ch/topic.html __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
