ISE Introduction to Operations Research
Autor Frederick Hillier, Gerald Liebermanen Limba Engleză Paperback – 30 mar 2020
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Specificații
ISBN-13: 9781260575873
ISBN-10: 126057587X
Pagini: 994
Dimensiuni: 191 x 249 x 33 mm
Greutate: 1.39 kg
Ediția:11
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States
ISBN-10: 126057587X
Pagini: 994
Dimensiuni: 191 x 249 x 33 mm
Greutate: 1.39 kg
Ediția:11
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States
Cuprins
1) Introduction
2) Overview of How Operations Research and Analytics Professionals Analyze Problems
3) Introduction to Linear Programming
4) Solving Linear Programming Problems: The Simplex Method
5) The Theory of the Simplex Method
6) Duality Theory
7) Linear Programming under Uncertainty
8) Other Algorithms for Linear Programming
9) The Transportation and Assignment Problems
10) Network Optimization Models
11) Dynamic Programming
12) Integer Programming
13) Nonlinear Programming
14) Metaheuristics
15) Game Theory
16) Decision Analysis
17) Queueing Theory
18) Inventory Theory
19) Markov Decision Processes
20) Simulation
Appendix 1 - Documentation for the OR Courseware
Appendix 2 - Convexity
Appendix 3 - Classical Optimization Methods
Appendix 4 - Matrices and Matrix Operations
Appendix 5 - Table for a Normal Distribution
2) Overview of How Operations Research and Analytics Professionals Analyze Problems
3) Introduction to Linear Programming
4) Solving Linear Programming Problems: The Simplex Method
5) The Theory of the Simplex Method
6) Duality Theory
7) Linear Programming under Uncertainty
8) Other Algorithms for Linear Programming
9) The Transportation and Assignment Problems
10) Network Optimization Models
11) Dynamic Programming
12) Integer Programming
13) Nonlinear Programming
14) Metaheuristics
15) Game Theory
16) Decision Analysis
17) Queueing Theory
18) Inventory Theory
19) Markov Decision Processes
20) Simulation
Appendix 1 - Documentation for the OR Courseware
Appendix 2 - Convexity
Appendix 3 - Classical Optimization Methods
Appendix 4 - Matrices and Matrix Operations
Appendix 5 - Table for a Normal Distribution