-58% OFFPrinceton University Press
Local Search in Combinatorial Optimization (English, Emile Aarts | Jan Karel Lenstra)
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Specifications
| Publisher | Princeton University Press |
| Language | English |
| ISBN-13 | 9780691115221 |
| ISBN-10 | 0691115222 |
| Author | Emile Aarts | Jan Karel Lenstra |
Product Description
About the Book
In the past three decades, local search has grown from a simple heuristic idea into a mature field of research in combinatorial optimization that is attracting ever-increasing attention. Local search is still the method of choice for NP-hard problems as it provides a robust approach for obtaining high-quality solutions to problems of a realistic size in reasonable time. Local Search in Combinatorial Optimization covers local search and its varian…
ISBN: 9780691115221
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Local Search in Combinatorial Optimization
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Princeton University Press
Who Should Read This
Students and professionals interested in Princeton University Press, as well as general readers looking to expand their knowledge.
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Who is the author of Local Search in Combinatorial Optimization?
Local Search in Combinatorial Optimization is authored by Emile Aarts | Jan Karel Lenstra.
Who published Local Search in Combinatorial Optimization?
Local Search in Combinatorial Optimization is published by Princeton University Press.
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Page count information for Local Search in Combinatorial Optimization is available in the specifications section of this page.
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At an average reading speed of 250 words per minute, reading Local Search in Combinatorial Optimization takes a few hours to a few days depending on reading pace.
What is Local Search in Combinatorial Optimization about?
About the Book
In the past three decades, local search has grown from a simple heuristic idea into a mature field of research in combinatorial optimization that is attracting ever-increasing attention. Local search is still the method of choice for NP-hard problems as it provides a robust approach...
Is Local Search in Combinatorial Optimization suitable for beginners?
Whether Local Search in Combinatorial Optimization is suitable for beginners depends on your background in Princeton University Press. Review the product description and specifications above for details on the target audience and difficulty level.
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