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9780534230463

Introduction to Mathematical Programming: Applications and Algorithms

by
  • ISBN13:

    9780534230463

  • ISBN10:

    0534230466

  • Edition: 2nd
  • Format: Hardcover
  • Copyright: 1994-04-01
  • Publisher: ITP DUXBURY
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List Price: $267.33

Summary

Focusing on deterministic models, this book is designed for the first half of an operations research course. A subset of Winston's best-selling Operations Research, Introduction to Mathematical Programing offers self-contained chapters that make it flexible enough for one- or two-semester courses ranging from advanced beginning to intermediate in level. Appropriate for undergraduate majors, MBAs, and graduate students, it emphasizes model-formulations and model-building skills as well as interpretation of computer software output. LINDO, GINO, and LINGO software packages are available with the book in Windows, Macintosh, or DOS versions. Linear algebra prerequisite.

Table of Contents

Introduction to Mathematical Programming
1(3)
Examples of Mathematical Programming
1(1)
Successful Applications of Mathematical Programming
2(1)
Where to Read More About Mathematical Programming
3(1)
Basic Linear Algebra
4(41)
Matrices and Vectors
4(10)
Matrices and Systems of Linear Equations
14(2)
The Gauss-Jordan Method for Solving Systems of Linear Equations
16(11)
Linear Independence and Linear Dependence
27(4)
The Inverse of a Matrix
31(6)
Determinants
37(8)
Introduction to Linear Programming
45(75)
What Is a Linear Programming Problem?
45(7)
The Graphical Solution of Two-Variable Linear Programming Problems
52(8)
Special Cases
60(6)
A Diet Problem
66(3)
A Work-Scheduling Problem
69(4)
A Capital Budgeting Problem
73(4)
Short-Term Financial Planning
77(3)
Blending Problems
80(10)
Production Process Models
90(5)
Using Linear Programming to Solve Multiperiod Decision Problems: An Inventory Model
95(5)
Multiperiod Financial Models
100(4)
Multiperiod Work Scheduling
104(16)
The Simplex Algorithm and Goal Programming
120(87)
How to Convert an LP to Standard Form
120(4)
Preview of the Simplex Algorithm
124(6)
The Simplex Algorithm
130(10)
Using the Simplex Algorithm to Solve Minimization Problems
140(2)
Alternative Optimal Solutions
142(3)
Unbounded LPs
145(3)
The LINDO Computer Package
148(4)
Matrix Generators, LINGO, and Scaling of LPs
152(5)
Degeneracy and the Convergence of the Simplex Algorithm
157(4)
The Big M Method
161(6)
The Two-Phase Simplex Method
167(5)
Unrestricted-in-Sign Variables
172(6)
Karmarkar's Method for Solving LPs
178(1)
Multiattribute Decision Making in the Absence of Uncertainty: Goal Programming
179(13)
Solving LPs with Spreadsheets
192(15)
Sensitivity Analysis: An Applied Approach
207(37)
A Graphical Introduction to Sensitivity Analysis
207(5)
The Computer and Sensitivity Analysis
212(15)
Managerial Use of Shadow Prices
227(2)
What Happens to the Optimal z-Value If the Current Basis Is No Longer Optimal?
229(15)
Sensitivity Analysis and Duality
244(105)
A Graphical Introduction to Sensitivity Analysis
244(6)
Some Important Formulas
250(8)
Sensitivity Analysis
258(15)
Sensitivity Analysis When More Than One Parameter Is Changed: The 100% Rule
273(6)
Finding the Dual of an LP
279(7)
Economic Interpretation of the Dual Problem
286(3)
The Dual Theorem and Its Consequences
289(10)
Shadow Prices
299(10)
Duality and Sensitivity Analysis
309(3)
Complementary Slackness
312(4)
The Dual Simplex Method
316(6)
Data Envelopment Analysis
322(27)
Transportation, Assignment, and Transshipment Problems
349(56)
Formulating Transportation Problems
349(13)
Finding Basic Feasible Solutions for Transportation Problems
362(10)
The Transportation Simplex Method
372(8)
Sensitivity Analysis for Transportation Problems
380(3)
Assignment Problems
383(8)
Transshipment Problems
391(14)
Network Models
405(72)
Basic Definitions
405(1)
Shortest Path Problems
406(6)
Maximum Flow Problems
412(14)
CPM and PERT
426(22)
Minimum Cost Network Flow Problems
448(7)
Minimum Spanning Tree Problems
455(4)
The Network Simplex Method
459(18)
Integer Programming
477(90)
Introduction to Integer Programming
477(3)
Formulating Integer Programming Problems
480(35)
The Branch-and-Bound Method for Solving Pure Integer Programming Problems
515(13)
The Branch-and-Bound Method for Solving Mixed Integer Programming Problems
528(1)
Solving Knapsack Problems by the Branch-and-Bound Method
529(3)
Solving Combinatorial Optimization Problems by the Branch-and-Bound Method
532(14)
Implicit Enumeration
546(6)
The Cutting Plane Algorithm
552(15)
Advanced Topics in Linear Programming
567(52)
The Revised Simplex Algorithm
567(5)
The Product Form of the Inverse
572(3)
Using Column Generation to Solve Large-Scale LPs
575(7)
The Dantzig-Wolfe Decomposition Algorithm
582(18)
The Simplex Method for Upper-Bounded Variables
600(4)
Karmarkar's Method for Solving LPs
604(15)
Game Theory
619(45)
Two-Person Zero-Sum and Constant-Sum Games: Saddle Points
619(4)
Two-Person Zero-Sum Games: Randomized Strategies, Domination, and Graphical Solution
623(9)
Linear Programming and Zero-Sum Games
632(13)
Two-Person Nonconstant-Sum Games
645(4)
Introduction to n-Person Game Theory
649(2)
The Core of an n-Person Game
651(4)
The Shapley Value
655(9)
Nonlinear Programming
664(101)
Review of Differential Calculus
664(7)
Introductory Concepts
671(12)
Convex and Concave Functions
683(9)
Solving NLPs with One Variable
692(8)
Golden Section Search
700(6)
Unconstrained Maximization and Minimization with Several Variables
706(6)
The Method of Steepest Ascent
712(4)
Lagrange Multipliers
716(7)
The Kuhn-Tucker Conditions
723(11)
Quadratic Programming
734(8)
Separable Programming
742(6)
The Method of Feasible Directions
748(3)
Pareto Optimality and Tradeoff Curves
751(14)
Deterministic Dynamic Programming
765
Two Puzzles
765(2)
A Network Problem
767(7)
An Inventory Problem
774(6)
Resource Allocation Problems
780(12)
Equipment Replacement Problems
792(3)
Formulating Dynamic Programming Recursions
795(13)
Using Spreadsheets to Solve Dynamic Programming Problems
808
Answers to Selected Problems A1
Index A27

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