Vectorization and multitasking of nonlinear network programming algorithms

A framework for the vectorization and multitasking of optimization software is developed. It is then applied on the primal truncated Newton algorithm for nonlinear generalized network problems. The vectorization and multitasking of the algorithm is discussed and illustrated with computational experi...

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Bibliographic Details
Published inMathematical programming Vol. 42; no. 2; pp. 449 - 470
Main Authors ZENIOS, S. A, MULVEY, J. M
Format Journal Article
LanguageEnglish
Published Heidelberg Springer 01.11.1988
Subjects
Applied sciences
Exact sciences and technology
Flows in networks. Combinatorial problems
Operational research and scientific management
Operational research. Management science
Algorithm
Newton method
Implementation
Combinatory problem
Network
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Summary:A framework for the vectorization and multitasking of optimization software is developed. It is then applied on the primal truncated Newton algorithm for nonlinear generalized network problems. The vectorization and multitasking of the algorithm is discussed and illustrated with computational experiments with the software system NLPNETG on the CRAY series of vector multiprocessor.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0025-5610
1436-4646
DOI:10.1007/BF01589416