OPM, a collection of Optimization Problems in Matlab

Serge Gratton; Philippe TOINT

OPM, a collection of Optimization Problems in Matlab

Serge Gratton, Philippe TOINT

Namur Institute for Complex Systems

Research output: Working paper

28 Downloads (Pure)

Abstract

OPM is a small collection of CUTEst unconstrained and bound-constrained nonlinear optimization problems, which can be used in Matlab for testing optimization algorithms directly (i.e. without installing additional software).

Original language	English
Publisher	Arxiv
Volume	2112.05636
Publication status	Published - 11 Dec 2021

Keywords

optimization
software
test problems

Access to Document

gt23Final published version, 291 KBLicence: Other

3 Article
2 Working paper

S2MPJ and CUTEst optimization problems for Matlab, Python and Julia
Gratton, S. & Toint, P., 10 Jul 2024, Arxiv.
Research output: Working paper

File
Yet another fast variant of Newton's method for nonconvex optimization
Gratton, S., Jerad, S. & TOINT, P., 21 Feb 2023, Arxiv, 26 p.
Research output: Working paper

File
CUTEST: a Constrained and Unconstrained Testing Environment with safe threads
Gould, N. I. M., Orban, D. & Toint, P., 2015, In: Computational Optimization and Applications. 60, 3, p. 545-557 13 p.
Research output: Contribution to journal › Article › peer-review

File
208 Downloads (Pure)

1 Active

ADALGOPT: ADALGOPT - Advanced algorithms in nonlinear optimization
Sartenaer, A. (CoI) & Toint, P. (CoI)
1/01/87 → …
Project: Research Axis

1 Visiting an external academic institution

ENSEEIHT-IRIT
Toint, P. (Visiting researcher)
21 Nov 2021 → 2 Dec 2021
Activity: Visiting an external institution types › Visiting an external academic institution

Cite this

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title = "OPM, a collection of Optimization Problems in Matlab",

abstract = "OPM is a small collection of CUTEst unconstrained and bound-constrained nonlinear optimization problems, which can be used in Matlab for testing optimization algorithms directly (i.e. without installing additional software).",

keywords = "optimization, software, test problems",

author = "Serge Gratton and Philippe TOINT",

year = "2021",

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day = "11",

language = "English",

volume = "2112.05636",

publisher = "Arxiv",

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T1 - OPM, a collection of Optimization Problems in Matlab

AU - Gratton, Serge

AU - TOINT, Philippe

PY - 2021/12/11

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N2 - OPM is a small collection of CUTEst unconstrained and bound-constrained nonlinear optimization problems, which can be used in Matlab for testing optimization algorithms directly (i.e. without installing additional software).

AB - OPM is a small collection of CUTEst unconstrained and bound-constrained nonlinear optimization problems, which can be used in Matlab for testing optimization algorithms directly (i.e. without installing additional software).

KW - optimization

KW - software

KW - test problems

M3 - Working paper

VL - 2112.05636

BT - OPM, a collection of Optimization Problems in Matlab

PB - Arxiv

ER -

OPM, a collection of Optimization Problems in Matlab

Abstract

Keywords

Access to Document

Fingerprint

Research output

S2MPJ and CUTEst optimization problems for Matlab, Python and Julia

Yet another fast variant of Newton's method for nonconvex optimization

CUTEST: a Constrained and Unconstrained Testing Environment with safe threads

Projects

ADALGOPT: ADALGOPT - Advanced algorithms in nonlinear optimization

Activities

ENSEEIHT-IRIT

Cite this