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Elementary Linear Programming with Applications Second Edition Computer Science Scientific Computin

The software on the included disk leads students step-by-step through the calculations. The Second Edition is completely revised and provides additional review material on linear algebra as well as complete coverage of elementary linear programming. Other topics covered include: the Duality Theorem; transportation problems; the assignment problem; and the maximal flow problem. New figures and exercises are provided and the authors have updated all computer applications.

Beck Academic Press, , pp.

Elementary Linear Programming with Applications (Computer Science & Scientific Computing Series)

Publication Date: July 6, List Price: Its results are used in every area of engineering and commerce; including agriculture, oil refining, banking, and air transport. Table of contents Prologue: Introduction to Operations Research.

Review of Linear Algebra: Matrices. Gauss-Jordan Reduction.

The Inverse of a Matrix. Linear Independence and Basis. Matrix Notation.


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Geometry of Linear Programming Problems. The Extreme Point Theorem. Basic Solutions. Degeneracy and Cycling. Artificial Variables.

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Holdings : Elementary linear programming with applications / | York University Libraries

Further Topics in Linear Programming: Duality. The Duality Theorem. Computational Relations between the Primal and Dual Problems. The Dual Simplex Method.

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The Revised Simplex Method. Sensitivity Analysis. Computer Aspects. Integer Programming: Examples. Cutting Plane Methods.

Linear Programming

Branch and Bound Methods. The Assignment Problem.


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    The Critical Path Method. Appendices: Karmarkar's Algorithm. Microcomputer Software.

    Elementary Linear Programming with Applications (Computer Science and Scientific Computing)

    Answers to Odd-Numbered Exercises. Review quote "The book presents the basic ideas of linear programming and related areas by not using a rigorous approach. The main objective, to provide a textbook that is readable by students in business, engineering, and computer science, seems to have been achieved A rich set of more than exercises, real-life projects and further reading suggestions successfully stimulates learning.