Trends in nonlinear programming software

Philip E. Gill; Walter Murray; Michael A. Saunders; Margaret H. Wright

doi:10.1016/0377-2217(84)90228-5

Trends in nonlinear programming software

Philip E. Gill, Walter Murray, Michael A. Saunders, Margaret H. Wright

Computer Science

Research output: Contribution to journal › Review article › peer-review

Abstract

Nonlinear programming is an important tool in many scientific, engineering and financial applications. Because of the inevitable delays in spreading knowledge from one field to another, practitioners not specializing in optimization may be unable to take advantage of the latest developments in optimization software. In order to improve this situation, we highlight selected key aspects of past and future optimization software, in the hope that potential users may become aware of significant advances.

Original language	English (US)
Pages (from-to)	141-149
Number of pages	9
Journal	European Journal of Operational Research
Volume	17
Issue number	2
DOIs	https://doi.org/10.1016/0377-2217(84)90228-5
State	Published - Aug 1984

Keywords

Nonlinear programming software
mathematical programming
optimization

ASJC Scopus subject areas

General Computer Science
Modeling and Simulation
Management Science and Operations Research
Information Systems and Management

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10.1016/0377-2217(84)90228-5

Cite this

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title = "Trends in nonlinear programming software",

abstract = "Nonlinear programming is an important tool in many scientific, engineering and financial applications. Because of the inevitable delays in spreading knowledge from one field to another, practitioners not specializing in optimization may be unable to take advantage of the latest developments in optimization software. In order to improve this situation, we highlight selected key aspects of past and future optimization software, in the hope that potential users may become aware of significant advances.",

keywords = "Nonlinear programming software, mathematical programming, optimization",

author = "Gill, {Philip E.} and Walter Murray and Saunders, {Michael A.} and Wright, {Margaret H.}",

note = "Funding Information: * This research was supported by the U.S. Department of Energy Contract DE-AC03-76SF00326, PA No. DE-AT03-76ER72018; National Science Foundation Grants MCS-7926009 and ECS-8012974; the Office of Naval Research Contract N00014-75-C-0267; and the U.S. Army Research Office Contract DAAG29-79-C-0110.",

year = "1984",

month = aug,

doi = "10.1016/0377-2217(84)90228-5",

language = "English (US)",

volume = "17",

pages = "141--149",

journal = "European Journal of Operational Research",

issn = "0377-2217",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Trends in nonlinear programming software

AU - Gill, Philip E.

AU - Murray, Walter

AU - Saunders, Michael A.

AU - Wright, Margaret H.

N1 - Funding Information: * This research was supported by the U.S. Department of Energy Contract DE-AC03-76SF00326, PA No. DE-AT03-76ER72018; National Science Foundation Grants MCS-7926009 and ECS-8012974; the Office of Naval Research Contract N00014-75-C-0267; and the U.S. Army Research Office Contract DAAG29-79-C-0110.

PY - 1984/8

Y1 - 1984/8

N2 - Nonlinear programming is an important tool in many scientific, engineering and financial applications. Because of the inevitable delays in spreading knowledge from one field to another, practitioners not specializing in optimization may be unable to take advantage of the latest developments in optimization software. In order to improve this situation, we highlight selected key aspects of past and future optimization software, in the hope that potential users may become aware of significant advances.

AB - Nonlinear programming is an important tool in many scientific, engineering and financial applications. Because of the inevitable delays in spreading knowledge from one field to another, practitioners not specializing in optimization may be unable to take advantage of the latest developments in optimization software. In order to improve this situation, we highlight selected key aspects of past and future optimization software, in the hope that potential users may become aware of significant advances.

KW - Nonlinear programming software

KW - mathematical programming

KW - optimization

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DO - 10.1016/0377-2217(84)90228-5

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AN - SCOPUS:0021481057

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SP - 141

EP - 149

JO - European Journal of Operational Research

JF - European Journal of Operational Research

IS - 2

ER -

Trends in nonlinear programming software

Abstract

Keywords

ASJC Scopus subject areas

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