Solutions for SSM FOR OPERATIONAL RESEARCH
Browse All Chapters of This Textbook
Chapter 2 - Basic Linear AlgebraChapter 2.1 - Matrices And VectorsChapter 2.2 - Matrices And Systems Of Linear EquationsChapter 2.3 - The Gauss-jordan Method For Solving Systems Of Linear EquationsChapter 2.4 - Linear Independence And Linear DependenceChapter 2.5 - The Inverse Of A MatrixChapter 2.6 - DeterminantsChapter 3 - Introduction To Linear ProgrammingChapter 3.1 - What Is A Linear Programming Problem?Chapter 3.2 - The Graphical Solution Of Two-variable Linear Programming Problems
Chapter 3.3 - Special CasesChapter 3.4 - A Diet ProblemChapter 3.5 - A Work-scheduling ProblemChapter 3.6 - A Capital Budgeting ProblemChapter 3.7 - Short-term Financial Planning‡Chapter 3.8 - Blending ProblemsChapter 3.9 - Production Process ModelsChapter 3.10 - Using Linear Programming To Solve Multiperiod Decision Problems: An Inventory ModelChapter 3.11 - Multiperiod Financial ModelsChapter 3.12 - Multiperiod Work SchedulingChapter 4 - The Simplex Algorithm And Goal ProgrammingChapter 4.1 - How To Convert An Lp To Standard FormChapter 4.4 - Why Does An Lp Have An Optimal Bfs?Chapter 4.5 - The Simplex AlgorithmChapter 4.6 - Using The Simplex Algorithm To Solve Minimization ProblemsChapter 4.7 - Alternative Optimal SolutionsChapter 4.8 - Unbounded LpsChapter 4.10 - Matrix Generators, Lingo, And Scaling Of LpsChapter 4.11 - Degeneracy And The Convergence Of The Simplex AlgorithmChapter 4.12 - The Big M MethodChapter 4.13 - The Two-phase Simplex MethodChapter 4.14 - Unrestricted-in-sign VariablesChapter 4.16 - Multiattribute Decision Making In The Absence Of Uncertainty: Goal ProgrammingChapter 4.17 - Using The Excel Solver To Solve LpsChapter 5 - Sensitivity Analysis: An Applied ApproachChapter 5.1 - A Graphical Introduction To Sensitivity AnalysisChapter 5.2 - The Computer And Sensitivity AnalysisChapter 5.3 - Managerial Use Of Shadow PricesChapter 6 - Sensitivity Analysis And DualityChapter 6.1 - A Graphical Introduction To Sensitivity AnalysisChapter 6.2 - Some Important FormulasChapter 6.3 - Sensitivity AnalysisChapter 6.4 - Sensitivity Analysis When More Than One Parameter Is Changed: The 100% RuleChapter 6.5 - Finding The Dual Of An LpChapter 6.6 - Economic Interpretation Of The Dual ProblemChapter 6.7 - The Dual Theorem And Its ConsequencesChapter 6.8 - Shadow PricesChapter 6.9 - Duality And Sensitivity AnalysisChapter 6.10 - Complementary SlacknessChapter 6.11 - The Dual Simplex MethodChapter 6.12 - Data Envelopment AnalysisChapter 7 - Transportation, Assignment, And Transshipment ProblemsChapter 7.1 - Formulating Transportation ProblemsChapter 7.2 - Finding Basic Feasible Solutions For Transportation ProblemsChapter 7.3 - The Transportation Simplex MethodChapter 7.5 - Assignment ProblemsChapter 8 - Network ModelsChapter 8.2 - Shortest-path ProblemsChapter 8.4 - Cpm And PertChapter 9 - Integer ProgrammingChapter 9.2 - Formulating Integer Programming ProblemsChapter 9.6 - Solving Combinatorial Optimization Problems By The Branch-and-bound MethodChapter 10.4 - The Dantzig-wolfe Decomposition AlgorithmChapter 11 - Nonlinear ProgrammingChapter 11.2 - Introductory ConceptsChapter 13.2 - Utility TheoryChapter 13.3 - Flaws In Expected Maximization Of Utility: Prospect Theory And Framing EffectsChapter 13.5 - Bayes’ Rule And Decision TreesChapter 14.4 - Two-person Nonconstant-sum GamesChapter 16.8 - (r, S) Periodic Review PolicyChapter 17 - Markov ChainsChapter 17.2 - What Is A Markov Chain?Chapter 17.6 - Absorbing ChainsChapter 18 - Deterministic Dynamic ProgrammingChapter 19.3 - How To Maximize The Probability Of A Favorable Event OccurringChapter 19.4 - Further Examples Of Probabilistic Dynamic Programming FormulationsChapter 20.6 - The M/m/s/gd/∞/∞ Queuing SystemChapter 20.9 - Finite Source Models: The Machine Repair ModelChapter 20.10 - Exponential Queues In Series And Open Queuing NetworksChapter 23 - Simulation With The Excel Add-in @risk
Book Details
The Student Solutions Manual contains solutions to selected problems in the book.
Sample Solutions for this Textbook
We offer sample solutions for SSM FOR OPERATIONAL RESEARCH homework problems. See examples below:
Using Gauss-Jordan method to indicate the solutions: Consider the given system of linear equations,...Linear programming for solving the problem: Let x= barrels of beer produced y= barrels of ale...Optimal solutions: Consider the following linear programing problem: Max Z=5x1+3x2+x3 Subject to the...Profit Let XNP is the number of personal computers produced in New York, XLP is the number of...Dual linear problem and its optimal solution The dual of a given linear program is another linear...Chapter 7, Problem 1RP
More Editions of This Book
Corresponding editions of this textbook are also available below:
Operations Research : Applications and Algorithms
4th Edition
ISBN: 9780534380588
Operations Research: Applications and Algorithms
4th Edition
ISBN: 9780357907818
Student Suite Cd-rom For Winston's Operations Research: Applications And Algorithms
4th Edition
ISBN: 9780534423551
OPERATIONS RESEARCH >INTERNATIONAL EDITI
4th Edition
ISBN: 9780534423629
OPERATIONS RES APP W/ STUDENT SOL MAN
4th Edition
ISBN: 9780534662257
OPERATIONS RES.+USER'S GDE.-W/3-3DISKS
3rd Edition
ISBN: 9780534520205
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