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Elementary Linear Programming with Applications
1st Edition - January 28, 1980
Authors: Bernard Kolman, Robert E. Beck
Editor: Werner Rheinboldt
9 7 8 - 1 - 4 8 3 2 - 6 9 6 8 - 9
Elementary Linear Programming with Applications presents a survey of the basic ideas in linear programming and related areas. It also provides students with some of the tools used… Read more
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Elementary Linear Programming with Applications presents a survey of the basic ideas in linear programming and related areas. It also provides students with some of the tools used in solving difficult problems which will prove useful in their professional career. The text is comprised of six chapters. The Prologue gives a brief survey of operations research and discusses the different steps in solving an operations research problem. Chapter 0 gives a quick review of the necessary linear algebra. Chapter 1 deals with the basic necessary geometric ideas in Rn. Chapter 2 introduces linear programming with examples of the problems to be considered, and presents the simplex method as an algorithm for solving linear programming problems. Chapter 3 covers further topics in linear programming, including duality theory and sensitivity analysis. Chapter 4 presents an introduction to integer programming. Chapter 5 covers a few of the more important topics in network flows. Students of business, engineering, computer science, and mathematics will find the book very useful.
PrefaceAcknowledgmentsPrologue Introduction to Operations Research Further ReadingsChapter 0 Review of Linear Algebra (Optional) 0.1 Matrices 0.2 Gauss-Jordan Reduction 0.3 The Inverse of a Matrix 0.4 Subspaces 0.5 Linear Independence and Basis Further ReadingsChapter 1 Geometry in Rn 1.1 Hyperplanes 1.2 Convex Sets Further ReadingChapter 2 Introduction to Linear Programming 2.1 The Linear Programming Problem 2.2 Matrix Notation; Geometric Solutions 2.3 The Simplex Method 2.4 Degeneracy and Cycling (Optional) 2.5 Artificial Variables Further ReadingsChapter 3 Further Topics in Linear Programming 3.1 Duality 3.2 Computational Relations Between the Primal and Dual Problems 3.3 The Dual Simplex Method 3.4 The Revised Simplex Method 3.5 Sensitivity Analysis 3.6 Computer Aspects (Optional) Further ReadingsChapter 4 Integer Programming 4.1 Examples 4.2 Cutting Plane Methods 4.3 Branch and Bound Methods 4.4 Computer Aspects (Optional) Further ReadingsChapter 5 Special Types of Linear Programming Problems 5.7 The Transportation Problem Further Readings 5.2 The Assignment Problem Further Readings 5.3 Graphs and Networks. Basic Definitions Further Reading 5.4 The Maximal Flow Problem Further Readings 5.5 The Shortest Route Problem Further Readings 5.6 The Critical Path Method Further Readings 5.7 Computer Aspects (Optional)Solutions to Odd-Numbered ExercisesIndex