A Methodology for Designing High Level Computer Input Systems for Mathematical Programming Models. Industrial and Systems Engineering Report Series No. J-78-16.

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Bibliographic Details
Title: A Methodology for Designing High Level Computer Input Systems for Mathematical Programming Models. Industrial and Systems Engineering Report Series No. J-78-16.
Language: English
Authors: Jarvis, John J., Papaconstadopoulos, Chris, Georgia Inst. of Tech., Atlanta. School of Industrial and Systems Engineering.
Peer Reviewed: N
Page Count: 45
Publication Date: 1978
Sponsoring Agency: National Science Foundation, Washington, DC.
Document Type: Reports - Research
Descriptors: Computer Programs, Computers, Linear Programing, Mathematical Applications, Operations Research, Postsecondary Education, Programing, Systems Development
Geographic Terms: U.S.; Georgia
Abstract: Developed and demonstrated here is the design of interface systems for cost-effective communication of the user with the computerized operations research procedures. The concentration is in the area of interfacing methods for implementing the optimization techniques of mathematical programing. Emphasis is given to flexibility of accessing the algorithm, cost-effectiveness, and pedagogical or self-teaching aspects of the interface systems. Methods which take advantage of the characteristics of the input model, for soliciting, storing, and analyzing the input information, are investigated. Concepts in higher level interfacing systems are also explored. Linear programing is the vehicle for experimental development of interface systems. The results are applicable to other mathematical programing procedures. (Author/MP)
Notes: Not available in hard copy due to marginal legibility of original document
Journal Code: RIEMAR1979
Entry Date: 1979
Accession Number: ED161692
Database: ERIC
Description
Abstract:Developed and demonstrated here is the design of interface systems for cost-effective communication of the user with the computerized operations research procedures. The concentration is in the area of interfacing methods for implementing the optimization techniques of mathematical programing. Emphasis is given to flexibility of accessing the algorithm, cost-effectiveness, and pedagogical or self-teaching aspects of the interface systems. Methods which take advantage of the characteristics of the input model, for soliciting, storing, and analyzing the input information, are investigated. Concepts in higher level interfacing systems are also explored. Linear programing is the vehicle for experimental development of interface systems. The results are applicable to other mathematical programing procedures. (Author/MP)