Optimization in Operations Research
Ronald L. Rardin
For First Courses In Operations Research, Operations Management Optimization In Operations Research, Second Edition Covers A Broad Range Of Optimization Techniques, Including Linear Programming, Network Flows, Integer/combinational Optimization, And Nonlinear Programming. This Dynamic Text Emphasizes The Importance Of Modeling And Problem Formulation Andhow To Apply Algorithms To Real-world Problems To Arrive At Optimal Solutions. Use A Program That Presents A Better Teaching And Learning Experience-for You And Your Students. Prepare Students For Real-world Problems: Students Learn How To Apply Algorithms To Problems That Get Them Ready For Their Field. Use Strong Pedagogy Tools To Teach: Key Concepts Are Easy To Follow With The Text's Clear And Continually Reinforced Learning Path. Enjoy The Text's Flexibility: The Text Features Varying Amounts Of Coverage, So That Instructors Can Choose How In-depth They Want To Go Into Different Topics.
Mathematical optimization, Programming (Mathematics), Operations research, Programming (mathematics)
Name in long format: | Optimization in Operations Research |
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ISBN-10: | 0132858118 |
ISBN-13: | 9780132858113 |
Book pages: | 936 |
Book language: | en |
Edition: | 2nd edition |
Binding: | Hardcover |
Publisher: | Pearson |
Dimensions: | Height: 0.3937 Inches, Length: 0.3937 Inches, Width: 0.3937 Inches |