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 stepbystep 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, realworld situations, this study guide eases you through the variety of mathematical choices and applications used in operations research. Clear, logical explanations and onestepatatime 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 handson solutions manual that quickly supplies the variety of techniques needed every day on the job! The chapters include: Mathematical Programming Linear Programming: Basic Concepts Linear Programming: The Simplex and the Dual Simplex Methods and Linear Programming: Duality and Sensitivity Analysis Linear Programming: Extensions, Including the Revised Simplex Method and Karmarkar's Algorithm.The chapters also include: Integer Programming: BranchandBound Algorithm Integer Programming: Cut algorithms: Inter Programming: The Transportation Algorithm Integer Programming: Scheduling Models Nonlinear Programming: SingleVariable Optimization Nonlinear Programming: SingleVariable Optimization Nonlinear Programming: Multivariable Optimization with Constraints Network Analysis Project Planning Using PERT/CPM Inventory Models Forecasting Game Theory Decision Theory Dynamic Programming  Deterministic and Stochastic Finite Markov Chains Markovian BirthDeath Processes Queuing Systems M/M/1 Systems Other Systems with PoissonType Input and ExponentialType Service Times.
About Richard Bronson
McGrawHill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwideDetails Book
Author  :  Richard Bronson 
Publisher  :  Schaum Outline Series 
Data Published  :  01 September 1997 
ISBN  :  0070080208 
EAN  :  9780070080201 
Format Book  :  PDF, Epub, DOCx, TXT 
Number of Pages  :  456 pages 
Age +  :  18 years 
Language  :  English 
Rating  : 
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