Complete eTextbook 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
Name: Optimization in Operations Research, 2nd edition
Author: Ronald L. Rardin
This is a eBook for the actual textbook of Optimization in Operations Research, 2nd edition, by Ronald L. Rardin.
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It is exactly same as the actual hardbook. And it is Color Version.
1) A COMPLETE eBook 1187 Pages), with all single page and Chapters, Color Version. Same as the original textbook. Comes with PDF file format. Can be read by Adobe Reader.
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