Synopsis
Master practical techniques for complex optimization problems.
This book explains relaxation methods that help solve pure and mixed integer programming problems more efficiently. It blends theory with actionable steps you can apply to real-world scheduling, budgeting, and resource allocation tasks.
The author presents a roadmap from simple relaxations to advanced strategies, showing how to combine group theoretic ideas with Bender's method. You’ll see how relaxing data, using LP bases, and pricing out inaccuracies can lead to stronger, faster solutions for tough problems.- How to convert hard integer problems into solvable relaxations without losing essential structure
- Ways to use dual prices and Gomory cuts to guide the search for optimal solutions
- Practical steps for integrating these techniques into existing optimization workflows
- Examples drawn from scheduling, budgeting, and media allocation to illustrate concepts
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Relaxation Methods for Pure and Mixed Integer Programming Problems (Classic Reprint)
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Relaxation Methods for Pure and Mixed Integer Programming Problems (Classic Reprint)
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LX-9780656174546
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