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Item #:
181920837
Approximation Algorithms for Traveling Salesman Problems
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Item #:
181920837
TMT 574
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What Stands Out
Advanced Techniques
Explores cutting-edge approximation methods for solving the Traveling Salesman Problem, enabling readers to grasp complex concepts through practical applications that enhance problem-solving skills.
Comprehensive Insights
Offers in-depth analysis of various approaches, making it an essential resource for both students and professionals seeking to deepen their understanding of algorithmic strategies in combinatorial optimization.
Practical Applications
Equips readers with real-world case studies and examples, demonstrating how approximation algorithms can be effectively applied to tackle logistical and operational challenges faced by industries today.
Product Details
| Publisher | Cambridge University Press |
| Publication date | December 5, 2024 |
| Edition | 1st |
| Language | English |
| Print length | 444 pages |
| ISBN-10 | 1009445413 |
| ISBN-13 | 978-1009445412 |
| Item Weight | 1.69 pounds (770 grams) |
| Dimensions | 6 x 1 x 9 inches (15.2 x 2.5 x 22.9 cm) |
Who Should Buy?
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Students of Algorithms
Ideal for students studying algorithm design and optimization techniques, particularly in computer science or operations research fields.
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Research Academics
Beneficial for researchers focusing on approximation algorithms and combinatorial optimization in theoretical computer science.
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Professionals in Logistics
Useful for logistics professionals dealing with route optimization problems requiring practical applications of approximation algorithms.
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Casual Readers
Not suitable for individuals looking for a light read; it requires a strong foundation in algorithm analysis.
Product Description
Approximation Algorithms for Traveling Salesman Problems
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Pros
- Comprehensive coverage of algorithms
- Clear and detailed explanations
- Strong focus on practical applications
- Engaging examples and exercises
- Well-organized structure
Cons
- Some advanced topics may be challenging.
Product Price History
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Features & Benefits
- First book dedicated to approximation algorithms for the Traveling Salesman Problem (TSP).
- Comprehensive collection of major results and intriguing open problems.
- Includes recent discoveries, with first-time publications on better algorithms.
- Accessible resource for teaching, self-study, and further research.
- Features detailed proofs, over 170 exercises, and 100 color figures.
- Ideal for students and researchers in discrete mathematics and combinatorial optimization.
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