Schaum's Outline of Operations Research, 2nd ed.

Richard Bronson & Govindasami Naadimuthu "Schaum's Outline of Operations Research"
McGraw-Hill | English | July 1 1997 | ISBN: 0070080208 | 464 pages | PDF | 29 MB

This solved problem study guide helps you ace operations research courses! Completely worked problems show you each and every step to hundreds of solutions! Tackling the broad range of allocation problems that actually confront engineers, programmers, and analysts in today's business and industrial worlds—exactly the kind of problems that appear on operations research exams—this complete study guide gives you step-by-step guidance in all the mathematical programming techniques—including the trailblazing Karmarkar algorithm—you need to excel in any operations research course.

Using illustrative word problems that reflect typical, real-world situations, this study guide eases you through the variety of mathematical choices and applications used in operations research. Clear, logical explanations and one-step-at-a-time procedures show you how to analyze and solve each type of problem. Step by step, and working at your own pace, you learn to choose and apply the appropriate method. So comprehensive that it can be used as a complete independent study course, this guide is also the perfect complement and reinforcement to any text. Hundreds of supplementary problems give you a chance to practice newly learned techniques. Professionals working in the field will also find this comprehensive study guide useful as a hands-on solutions manual that quickly supplies the variety of techniques needed every day on the job!

Table of Contents:
Chapter 1 Mathematical Programming
Chapter 2 Linear Programming: Basic Concepts
Chapter 3 Linear Programming: The Simplex And The Dual Simplex Methods
Chapter 4 Linear Programming: Duality And Sensitivity Analysis
Chapter 5 Linear Programming: Extensions
Chapter 6 Integer Programming: Branch-And-Bound Algorithm
Chapter 7 Integer Programming: Cut Algorithms
Chapter 8 Integer Programming: The Transportation Algorithm
Chapter 9 Integer Programming: Scheduling
Chapter 10 Nonlinear Programming: Single-Variable Optimization
Chapter 11 Nonlinear Programming: Multivariable Optimization Without Constraints
Chapter 12 Nonlinear Programming: Multivariable Optimization With Constraints
Chapter 13 Network Analysis
Chapter 14 Project Planning Using Pert/Cpm
Chapter 15 Inventory Models
Chapter 16 Forecasting
Chapter 17 Game Theory
Chapter 18 Decision Theory
Chapter 19 Dynamic Programming
Chapter 20 Finite Markov Chains
Chapter 21 Markovian Birth-Death Processes
Chapter 22 Queueing Systems
Chapter 23 M/M/1 Systems System
Chapter 24 Other Systems With Poisson-Type
Answers To Supplementary Problems
Index

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