PENNON: A code for convex nonlinear and semidefinite programming
By Michal Kocvara, Michael Stingl. Optim. Methods Softw., 2003
338 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computational Theory and Mathematics, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/30d81526990beeb7e5f337da5d2aefc019f435ca
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- N. Gould
- Philippe L. Toint
- Hiroshi Yabe
- Hiroshi Yamashita
- Dominique Orban
- Jochem Zowe
- Michal Kocvara
- Michael Stingl
In Computational Theory and Mathematics
- Dominique Orban
- N. Gould
- Philippe L. Toint
- Hiroshi Yabe
- Hiroshi Yamashita
- Jochem Zowe
- Michal Kocvara
- Michael Stingl
In Numerical Analysis
- N. Gould
- Philippe L. Toint
- Dominique Orban
- Hiroshi Yabe
- Hiroshi Yamashita
- Jochem Zowe
- Michal Kocvara
- Michael Stingl
Citations in the corpus
- Free material optimization: recent progress (2008, methodology): “All our FMOmodels are solved by code PENNON that has been originally developed for this purpose and later turned to a general-purpose NLP and SDP code.”
- CUTEst: a Constrained and Unconstrained Testing Environment with safe threads for mathematical optimization (2013, positive): “In addition to the still-current packages supported by CUTEr, CUTEst provides new interfaces to ALGENCAN [1], BOBYQA [19], Direct Search [7], filterSD [8], NEWUOA [18], NLPQLP [21], NOMAD [15], PENNLP [14], QL [20], SPG [2] and SQIC [10], as well as various new packages within GALAHAD [12].”
- A survey of numerical methods for nonlinear semidefinite programming (2015, methodology): “In order to have a brief comparison of the algorithms described in this paper, we cite the comparative study of numerical results of a class of problems solved by PENNON and Numerical Optimizer given in [76].”