Conference proceeding
A comparative study of large-scale nonlinear optimization algorithms
HIGH PERFORMANCE ALGORITHMS AND SOFTWARE FOR NONLINEAR OPTIMIZATION, Vol.82, pp.95-127
Applied Optimization
01 Jan 2003
Abstract
In recent years, much work has been done on implementing a variety of algorithms in nonlinear programming software. In this paper, we analyze the performance of several state-of-the-art optimization codes on large-scale nonlinear optimization problems. Extensive numerical results are presented on different classes of problems, and features of each code that make it efficient or inefficient for each class are examined.
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Details
- Title
- A comparative study of large-scale nonlinear optimization algorithms
- Creators
- H Y BensonD F ShannoR J Vanderbei
- Contributors
- G DiPillo (Editor)A Murli (Editor)
- Publication Details
- HIGH PERFORMANCE ALGORITHMS AND SOFTWARE FOR NONLINEAR OPTIMIZATION, Vol.82, pp.95-127
- Series
- Applied Optimization
- Publisher
- Springer Nature
- Number of pages
- 33
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems); Bennett S. LeBow College of Business; Drexel University
- Identifiers
- 991019551792104721
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