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Approximation Algorithms
86% of respondents would recommend this to a friend
HKD 805
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Charting the landscape of approximability via polynomial-time algorithms becomes a compelling subject of scientific inquiry.
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What Stands Out
Product Details
| Publisher | Springer |
| Publication date | July 2, 2001 |
| Language | English |
| Print length | 399 pages |
| ISBN-10 | 3540653678 |
| ISBN-13 | 978-3540653677 |
| Item Weight | 3.62 pounds (1.64 kg) |
| Dimensions | 6.42 x 1.08 x 9.6 inches (16.3 x 2.7 x 24.4 cm) |
Who Should Buy?
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Computer Science Students
Ideal for undergraduates and graduates studying algorithms, as it provides foundational understanding of approximation techniques.
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Research Professionals
Researchers in optimization and computational fields will find valuable insights for complex problem-solving and theoretical developments.
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Software Developers
Developers tackling NP-hard problems can benefit from practical approximation algorithms to enhance application performance and efficiency.
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Casual Learners
Individuals seeking simple algorithmic concepts may find this product too complex and mathematically intensive for their needs.
Product Description
Approximation Algorithms
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HKD 805
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Features & Benefits
- Focuses on NP-hard optimization problems and their approximability.
- Divided into three parts covering combinatorial algorithms, linear programming, and advanced topics.
- Suitable for advanced undergraduate and graduate courses.
- Covers various algorithm design techniques and their applications.
- Introduces recent breakthroughs in approximation theory.
- Serves as a supplementary text for algorithms courses.
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