Solution Manual for Optimization in Operations Research 2nd Edition Rardin 0134384555 9780134384559
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LIke the first, the Second Edition covers the full scope of optimization (mathematical programming), spanning linear, integer, nonlinear, network, and dynamic programming models and algorithms, in both single and multiobjective contexts. New material adds large-scale, stochastic and complexity topics, while broadly deepening mathematical rigor without sacrificing the original’s intuitive style. This edition also continues the author’s belief that making optimization materials accessible and exciting to readers of diverse backgrounds requires a continuing discourse on optimization modeling. Every algorithm and analytic principle is developed in the context of a brief story, and computational exercises often begin with a formulation step.
Language: English
ISBN-10: 0134384555
ISBN-13: 978-0134384559
ISBN-13: 9780134384559
Auther: Ronald L.Rardin
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Table of Content:
1: Problem Solving with Mathematical Models
2: Deterministic Optimization Models in Operations Research
3: Improving Search
4: Linear Programming Models
5: Simplex Search for Linear Programming
6: Duality, Sensitivity, and Optimality in Linear Programming
7: Interior Point Methods for Linear Programming
8: Multiobjective Optimization and Goal Programming
9: Shortest Paths and Discrete Dynamic Programming
10: Network Flows and Graphs
11: Discrete Optimization Models
12: Exact Discrete Optimization Methods
13: Large-Scale Optimization Methods
14: Computational Complexity Theory
15: Heuristic Methods for Approximate Discrete Optimization
16: Unconstrained Nonlinear Programming
17: Constrained Nonlinear Programming
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