Introduction to Optimization-Based Decision-Making
-10%
portes grátis
Introduction to Optimization-Based Decision-Making
de Miranda, Joao Luis
Taylor & Francis Ltd
12/2021
241
Dura
Inglês
9781138712164
15 a 20 dias
650
Descrição não disponível.
1. First Notes on Optimization for Decision Support. 1.1. Introduction. 1.2. First Steps. 1.3. Introducing Proportionality. 1.4. A Non-Proportional Instance. 1.5. An Enlarged and Non-Proportional Instance. 1.6. Concluding Remarks. 2. Linear Algebra. 2.1. Introduction. 2.2. Gauss Elimination on the Linear System. 2.3. Gauss Elimination with the Augmented Matrix. 2.4. Gauss-Jordan and the Inverse Matrix. 2.5. Cramer's Rule and Determinants. 2.6. Concluding Remarks. 3. Linear Programming Basics. 3.1. Introduction. 3.2. Graphical Approach. 3.3. Algebraic Form. 3.4. Tableau Form. 3.5. Matrix Form. 3.6. Updating the Inverse Matrix. 3.7. Concluding Remarks. 4. Duality. 4.1. Introduction. 4.2. Primal-Dual Transformations. 4.3. Dual Simplex Method. 4.4. Duality Properties. 4.5. Duality and Economic Interpretation. 4.6. A First Approach to Optimality Analysis. 4.7. Concluding Remarks. 5. Calculus Optimization. 5.1. Introduction. 5.2. Constrained Optimization with Lagrange Multipliers. 5.3. Generalization of the Constrained Optimization Case. 5.4. Lagrange Multipliers for the Furniture Factory Problem. 5.5. Concluding Remarks. 6. Optimality Analysis. 6.1. Introduction. 6.2. Revising LP Simplex. 6.3. Sensitivity Analysis. 6.4. Parametric Analysis. 6.5. Concluding Remarks. 7. Integer Linear Programming. 7.1. Introduction. 7.2. Solving Integer Linear Programming Problems. 7.3. Modeling with Binary Variables. 7.4. Solving Binary Integer Programming Problems. 7.5. Concluding Remarks. 8. Game Theory. 8.1. Introduction. 8.2. Constant-Sum Game. 8.3. Zero-Sum Game. 8.4. Mixed Strategies - LP Approach. 8.5. Dominant Strategies. 8.6. Concluding Remarks. 9. Decision Making Under Uncertainty. 9.1. Introduction. 9.2. Multiple Criteria and Decision Maker Values. 9.3. Capacity Expansion for the Furniture Factory. 9.4. A Comparison Analysis. 9.5. Concluding Remarks. 10. Robust Optimization. 10.1. Introduction. 10.2. Notes on Stochastic Programming. 10.3. Robustness Promotion on Models and Solutions. 10.4. Models Generalization onto Robust Optimization. 10.5. Concluding Remarks. Selected References
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
linear programming;lagrange multipliers;integer programming;game theory;robust opitmization;RHS Parameter;Non-basic Variables;Vice Versa;Slack Variables;Inverse Matrix;Primal LP;Objective Function Coefficients;Gauss Elimination;LP Problem;LP Model;Decision Variable;Objective Function;Furniture Factory;LP Formulation;Primal Dual Solutions;BIP Problem;Option A2;ILP Solution;Primal Decision Variables;ILP Problem;Constant Sum Game;Option B2;RO Approach;Capacity Expansion Problem;Augmented Matrix
1. First Notes on Optimization for Decision Support. 1.1. Introduction. 1.2. First Steps. 1.3. Introducing Proportionality. 1.4. A Non-Proportional Instance. 1.5. An Enlarged and Non-Proportional Instance. 1.6. Concluding Remarks. 2. Linear Algebra. 2.1. Introduction. 2.2. Gauss Elimination on the Linear System. 2.3. Gauss Elimination with the Augmented Matrix. 2.4. Gauss-Jordan and the Inverse Matrix. 2.5. Cramer's Rule and Determinants. 2.6. Concluding Remarks. 3. Linear Programming Basics. 3.1. Introduction. 3.2. Graphical Approach. 3.3. Algebraic Form. 3.4. Tableau Form. 3.5. Matrix Form. 3.6. Updating the Inverse Matrix. 3.7. Concluding Remarks. 4. Duality. 4.1. Introduction. 4.2. Primal-Dual Transformations. 4.3. Dual Simplex Method. 4.4. Duality Properties. 4.5. Duality and Economic Interpretation. 4.6. A First Approach to Optimality Analysis. 4.7. Concluding Remarks. 5. Calculus Optimization. 5.1. Introduction. 5.2. Constrained Optimization with Lagrange Multipliers. 5.3. Generalization of the Constrained Optimization Case. 5.4. Lagrange Multipliers for the Furniture Factory Problem. 5.5. Concluding Remarks. 6. Optimality Analysis. 6.1. Introduction. 6.2. Revising LP Simplex. 6.3. Sensitivity Analysis. 6.4. Parametric Analysis. 6.5. Concluding Remarks. 7. Integer Linear Programming. 7.1. Introduction. 7.2. Solving Integer Linear Programming Problems. 7.3. Modeling with Binary Variables. 7.4. Solving Binary Integer Programming Problems. 7.5. Concluding Remarks. 8. Game Theory. 8.1. Introduction. 8.2. Constant-Sum Game. 8.3. Zero-Sum Game. 8.4. Mixed Strategies - LP Approach. 8.5. Dominant Strategies. 8.6. Concluding Remarks. 9. Decision Making Under Uncertainty. 9.1. Introduction. 9.2. Multiple Criteria and Decision Maker Values. 9.3. Capacity Expansion for the Furniture Factory. 9.4. A Comparison Analysis. 9.5. Concluding Remarks. 10. Robust Optimization. 10.1. Introduction. 10.2. Notes on Stochastic Programming. 10.3. Robustness Promotion on Models and Solutions. 10.4. Models Generalization onto Robust Optimization. 10.5. Concluding Remarks. Selected References
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
linear programming;lagrange multipliers;integer programming;game theory;robust opitmization;RHS Parameter;Non-basic Variables;Vice Versa;Slack Variables;Inverse Matrix;Primal LP;Objective Function Coefficients;Gauss Elimination;LP Problem;LP Model;Decision Variable;Objective Function;Furniture Factory;LP Formulation;Primal Dual Solutions;BIP Problem;Option A2;ILP Solution;Primal Decision Variables;ILP Problem;Constant Sum Game;Option B2;RO Approach;Capacity Expansion Problem;Augmented Matrix