CUTEr and SIFDEC: A constrained and unconstrained testing environment, revisited

N.I.M. Gould; D. Orban; P.L. Toint

doi:10.1145/962437.962439

CUTEr and SIFDEC: A constrained and unconstrained testing environment, revisited

N.I.M. Gould, D. Orban, P.L. Toint

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Abstract

The initial release of CUTE, a widely used testing environment for optimization software, was described by Bongartz, et al. [1995]. A new version, now known as CUTEr, is presented. Features include reorganisation of the environment to allow simultaneous multi-platform installation, new tools for, and interfaces to, optimization packages, and a considerably simplified and entirely automated installation procedure for UNIX systems. The environment is fully backward compatible with its predecessor, and offers support for Fortran 90/95 and a general C/C++ Application Programming Interface. The SIF decoder, formerly a part of CUTE, has become a separate tool, easily callable by various packages. It features simple extensions to the SIF test problem format and the generation of files suited to automatic differentiation packages.

Original language	English
Pages (from-to)	373-394
Number of pages	22
Journal	ACM Transactions on Mathematical Software
Volume	29
Issue number	4
DOIs	https://doi.org/10.1145/962437.962439
Publication status	Published - 1 Dec 2003

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10.1145/962437.962439

Technical Report-07-2002Submitted manuscript, 275 KB

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CUTEr and SIFDEC: A constrained and unconstrained testing environment, revisited

Abstract

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Other files and links

Fingerprint

S2MPJ and CUTEst optimization problems for Matlab, Python and Julia

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CUTEST: a Constrained and Unconstrained Testing Environment with safe threads

CUTEr: Constrained and Unconstrained Testing Environment, revisited (CUTEr)

ADALGOPT: ADALGOPT - Advanced algorithms in nonlinear optimization

CUTE: CUTE, Constrained and Unconstrained Testing Environment

Cite this

CUTEr and SIFDEC: A constrained and unconstrained testing environment, revisited

Abstract

Access to Document

Other files and links

Fingerprint

Research output

S2MPJ and CUTEst optimization problems for Matlab, Python and Julia

OPM, a collection of Optimization Problems in Matlab

CUTEST: a Constrained and Unconstrained Testing Environment with safe threads

Projects

CUTEr: Constrained and Unconstrained Testing Environment, revisited (CUTEr)

ADALGOPT: ADALGOPT - Advanced algorithms in nonlinear optimization

CUTE: CUTE, Constrained and Unconstrained Testing Environment

Cite this