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Schaum's Outline of Operations Research (Schaum's Outlines)
 
 
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Schaum's Outline of Operations Research (Schaum's Outlines) [Englisch] [Taschenbuch]

Richard Bronson , Covindasami Naadimuthu , Govindasami Naadimuthu

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Produktbeschreibungen

Kurzbeschreibung

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! 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: Branch-and-Bound Algorithm; Integer Programming: Cut algorithms: Inter Programming: The Transportation Algorithm; Integer Programming: Scheduling Models Nonlinear Programming: Single-Variable Optimization; Nonlinear Programming: Single-Variable 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 Birth-Death Processes; Queuing Systems; M/M/1 Systems; Other Systems with Poisson-Type Input and Exponential-Type Service Times.

Synopsis

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! 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: Branch-and-Bound Algorithm; Integer Programming: Cut algorithms: Inter Programming: The Transportation Algorithm; Integer Programming: Scheduling Models Nonlinear Programming: Single-Variable Optimization; Nonlinear Programming: Single-Variable 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 Birth-Death Processes; Queuing Systems; M/M/1 Systems; Other Systems with Poisson-Type Input and Exponential-Type Service Times.


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Einleitungssatz
In an optimization problem one seeks to maximize or minimize a specific quantity, called the objective, which depends on a finite number of input variables. Lesen Sie die erste Seite
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Amazon.com:  9 Rezensionen
19 von 20 Kunden fanden die folgende Rezension hilfreich
Doubles as inexpensive textbook on operations research 15. April 2006
Von calvinnme - Veröffentlicht auf Amazon.com
Format:Taschenbuch
Some of the primary tools used by operations researchers are statistics, optimization, stochastics, queueing theory, game theory, graph theory, and simulation. Because of the computational nature of these fields operations research also has ties to computer science, and thus this outline is useful to people from both fields. OR is concerned with optimization problems in which one seeks to maximize or minimize a specific quantity. The first part of this book is on optimization via linear, integer, and nonlinear programming. Next, network analysis is covered. Network analysis is the general name given to certain specific techniques which can be used for the planning, management and control of projects. Two different techniques for network analysis were developed independently in the late 1950's - PERT (Program Evaluation and Review Technique) and CPM (Critical Path Management). These techniques are also covered in the outline. The next subject tackled is that of inventory models - allowing shortages, allowing price discounts, risk conditions, etc., and their mathematical modeling. Game theory, decision theory, and dynamic programming are all explained in the context of inventory models and forecasting. Finally, there is coverage of Markov chains and queueing theory. Queuing Theory arises from the use of mathematical analysis to theoretically describe production processes along with statistical/probabilistic techniques to account for varying dynamic patterns within the stages of a productive process. The problem to be met is simply entitled "congestion", what happens when a system does not operate smoothly or efficiently.

I really liked this Schaum's outline, and I used it to teach myself most of the mathematical processes covered without the need for any additional resources. The theory is given in small doses along with very illustrative examples. The mathematics starts with simple algebra and works up to nothing more complex than probability and statistics. I highly recommend it for anybody enrolled in an operations research class as well as computer scientists and mathematics students that are studying any subset of the topics covered in this book.
17 von 18 Kunden fanden die folgende Rezension hilfreich
not enough 22. Januar 2007
Von gökhan - Veröffentlicht auf Amazon.com
Format:Taschenbuch
First of all, be careful, this is not a text book. It has a good presentation for problem solution. First, there are a some solved problems, then supplementary problems are coming. The answers of supplementary problems are at the end of the book.

This book might be useful for beginners. For every topic, there are easy problems, not specific problems similar to case studies. If you are over beginner degree, this book will not be useful for you. Especially, integer programming sections are not satisfactory. For instance, there isn't any facility location problem solution.

To sum-up this book may be useful for a beginner as a workbook.
1 von 1 Kunden fanden die folgende Rezension hilfreich
Very Usefull 21. November 2011
Von kostasdel - Veröffentlicht auf Amazon.com
Format:Taschenbuch|Von Amazon bestätigter Kauf
Very good book, with detailed explanations of most operations research themes, well written and with many examples.
Strongly suggested for newbies and intermediate users of operations research.

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