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Exxon experience with large scale linear and nonlinear programming applications

Authors
Journal
Computers & Chemical Engineering
0098-1354
Publisher
Elsevier
Publication Date
Volume
7
Issue
5
Identifiers
DOI: 10.1016/0098-1354(83)80006-4
Disciplines
  • Computer Science

Abstract

Abstract Exxon has been a large user of linear programming since its introduction. Exxon's primary large scale math programming system has evolved to also include facilities for sucessive linear programming and mixed integer programming. Some of Exxon's other math programming tools for quadratic programming and succesive quadratic programming are also described in this paper. Results of a recent study conducted to compare the performance of Exxon's succesive linear programming and successive quadratic programming techniques with the reduced gradient technology employed in other programs are presented.

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