Introduction to Operations Research / Edition 1

by Joseph G. Ecker

Overview

Using a style of presentation that makes even the more difficult topics easy to understand, this text covers all the important quantitative models of operations research. Explains the formulation of problems in mathematical terms, the solution of the resulting models, and the interpretation of results. Covers linear programming, network flows, integer programming, nonlinear programming, dynamic programming, queueing models, inventory models and discrete-event simulation. The manner in which the topics are developed leads students to discover the underlying concepts for themselves, with a minimum of both notation and unnecessary jargon. An appendix provides notational conventions for matrix algebra.

Product Details

ISBN-13:	9781575241982
Publisher:	Krieger Publishing Company
Publication date:	01/28/1988
Edition description:	New Edition
Pages:	528
Product dimensions:	7.30(w) x 10.20(h) x 1.40(d)

Table of Contents

Introduction.

LINEAR PROGRAMMING.

Linear Programming Models and Applications.

The Simplex Algorithm for Linear Programming.

Geometry of the Simplex Algorithm.

Duality in Linear Programming.

Sensitivity Analysis in Linear Programming.

Linear Programming Models for Network Flow Problems.

INTEGER, NONLINEAR AND DYNAMIC PROGRAMMING.

Integer Programming.

Nonlinear Programming.

Dynamic Programming.

PROBABILISTIC MODELS.

Queuing Models.

Inventory Models.

Simulation.

Appendix.

Notational Conventions for Matrix Algebra.

Selected References.

Answers to Selected Exercises.

Index.