Modeling by Object-Driven Linear Elemental Relations - A User's Guide for MODLER (c) (Hardcover, 1993 ed.)


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.

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Product Description

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.

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Product Details

General

Imprint

Springer

Country of origin

Netherlands

Series

Operations Research/Computer Science Interfaces Series, 2

Release date

March 1993

Availability

Expected to ship within 12 - 17 working days

First published

1993

Authors

Dimensions

235 x 155 x 11mm (L x W x T)

Format

Hardcover

Pages

163

Edition

1993 ed.

ISBN-13

978-0-7923-9323-8

Barcode

9780792393238

Categories

LSN

0-7923-9323-6



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