Introduction to operations research / Joseph G. Ecker and Michael Kupferschmid

By: Contributor(s): Material type: TextTextPublication details: Malabar : Krieger Pub., c1988Description: xvii, 509 pages : illustrations ; 26 cmISBN:
  • 894645765
Subject(s): LOC classification:
  • T 57.6 .E25 1988
Contents:
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 -- Notational Conventions for Matrix Algebra.
Summary: This textbook is intended for use in a two-semester sequence of courses introducing the mathematical methods of operations research. Part I can also be used alone for a one-semester course on linear programming. We have chosen to provide deep and thorough coverage of the most important methods in operations research rather than a superficial treatment of a larger number of topics. The level of exposition is appropriate for juniors and seniors who are majoring in engineering, computer science, mathematics, and quantitative methods in management. The basic techniques of operations research are simple and straightforward, and only a small amount of advanced mathematics is needed for a technically accurate introduction to the subject. This textbook assumes a knowledge of high school elementary algebra and a familiarity with simple matrix notation such as would be introduced in the first class of an undergraduate linear algebra course.
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Annex Relegation Room Accountancy GC T 57.6 .E25 1988 (Browse shelf(Opens below)) c.1 Available NULIB000006179

Includes bibliographical references and index.

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 -- Notational Conventions for Matrix Algebra.

This textbook is intended for use in a two-semester sequence of courses introducing the mathematical methods of operations research. Part I can also be used alone for a one-semester course on linear programming. We have chosen to provide deep and thorough coverage of the most important methods in operations research rather than a superficial treatment of a larger number of topics. The level of exposition is appropriate for juniors and seniors who are majoring in engineering, computer science, mathematics, and quantitative methods in management. The basic techniques of operations research are simple and straightforward, and only a small amount of advanced mathematics is needed for a technically accurate introduction to the subject. This textbook assumes a knowledge of high school elementary algebra and a familiarity with simple matrix notation such as would be introduced in the first class of an undergraduate linear algebra course.

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