Modeling by Object-Driven Linear Elemental Relations

A User's Guide for MODLER(c)

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February 26, 2022 | History

Modeling by Object-Driven Linear Elemental Relations

A User's Guide for MODLER(c)

Modeling by Object-Driven Linear Elemental Relations (MODLER) is a computer language for representing linear programming models, completely separate from instances defined by data realizations. It also includes representations of binary variables and logical constraints, which arise naturally in large-scale planning and operational decision support. The basic input to MODLER is a model file, and its basic output is a matrix file that is in a standard (MPS) format for most optimizers and for ANALYZE and RANDMOD. MODLER can also generate a syntax file for ANALYZE to enable automatic translation of activities and constraints into English for intelligent analysis support. The book is accompanied by a DOS version of MODLER on 3.5 inch diskettes and A Laboratory Manual for Teaching Linear Programming is available upon request.

Publish Date
Publisher
Springer US
Language
English
Pages
163

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Edition Availability
Cover of: Modeling by Object-Driven Linear Elemental Relations
Modeling by Object-Driven Linear Elemental Relations: A User's Guide for MODLER(c)
1993, Springer US
electronic resource : in English

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Book Details


Edition Notes

Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.

Published in
Boston, MA
Series
Operations Research/Computer Science Interface Series -- 2, Operations Research/Computer Science Interface Series -- 2

Classifications

Dewey Decimal Class
519.6
Library of Congress
QA402-402.37, T57.6-57.97

The Physical Object

Format
[electronic resource] :
Pagination
1 online resource (x, 163 p.)
Number of pages
163

Edition Identifiers

Open Library
OL27075340M
ISBN 10
1461363888, 1461531683
ISBN 13
9781461363880, 9781461531685
OCLC/WorldCat
852791987

Work Identifiers

Work ID
OL19888573W

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February 26, 2022 Edited by ImportBot import existing book
July 5, 2019 Created by MARC Bot import new book