Modeling by Object-Driven Linear Elemental Relations
A User's Guide for MODLER©
Published on 19. April 2013
Book
Paperback/Softback
X, 163 pages
978-1-4613-6388-0 (ISBN)
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.
More details
Series
Edition
Softcover reprint of the original 1st ed. 1993
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
X, 163 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 10 mm
Weight
277 gr
ISBN-13
978-1-4613-6388-0 (9781461363880)
DOI
10.1007/978-1-4615-3168-5
Schweitzer Classification
Other editions
Additional editions
Book
03/1993
Kluwer Academic Publishers
€160.49
Shipment within 15-20 days
Content
Chapter1 Overview, Installation, and Help.- 1.1 What you have and how to begin.- 1.2 Quick installation for DOS environment.- 1.3 Alternative environments.- 1.4 Some interactive language conventions.- 1.5 On-line documentation.- Chapter2 Anatomy of a Linear Program.- 2.1 Algebraic form.- 2.2 Model syntax.- 2.3 Objects and relations.- Chapter3 Preliminaries.- 3.1 The sign-on and basic interactive conventions.- 3.2 Elementary models and query.- 3.3 Randomization by command.- Chapter4 Models and Instances.- 4.1 Some precepts.- 4.2 More examples.- 4.3 Data objects.- 4.4 Randomization options.- Chapter5 Special Structures.- 5.1 Binary variables and logical constraints.- 5.2 Dynamic models.- 5.3 Approximation of nonlinear functions.- 5.4 Elastic programming.- Chapter6 The SUM Expression.- 6.1 Simple examples.- 6.2 Index conditions.- 6.3 Data conditions.- Chapter7 Dependencies.- 7.1 Set maps.- 7.2 Implicit sets.- 7.3 Implicit tables.- 7.4 The SHOW command.- Chapter8 File Interfaces.- 8.1 Environment controls.- 8.2 Dictionaries, documents, help, and keyword files.- 8.3 Execution files.- 8.4 Model files.- 8.5 Data files.- 8.6 Matrix and packed files.- 8.7 Schema and syntax files.- 8.8 Explain files.- Chapter9 More Model Description.- 9.1 Term expressions.- 9.2 A blending model.- 9.3 The REPORT execution file.- 9.4 Attribute inheritance.- 9.5 Equation conditions.- 9.6 Use of set maps.- Chapter10 Model Management.- 10.1 Overview.- 10.2 A case study.- 10.3 Using directories to aid model formulation.