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Design and Analysis of Algorithm
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Comprehensive coverage of algorithm design techniques and optimization.
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What Stands Out
Product Details
- Comprehensive taxonomy of algorithm design techniques
- Covers topics such as red-black tree, graph algorithms, and binary search and sort algorithms
- Includes techniques for optimization
- Chapters on advanced data structures and design techniques
- Discusses NP completeness and approximation algorithms
- Provides thorough coverage of algorithm performance analysis
| Publisher | Alpha Science |
| Publication date | January 30, 2017 |
| Language | English |
| Print length | 428 pages |
| ISBN-10 | 1842658980 |
| ISBN-13 | 978-1842658987 |
| Item Weight | 1.65 pounds (750 grams) |
| Dimensions | 6.5 x 1.25 x 9.75 inches (16.5 x 3.2 x 24.8 cm) |
Who Should Buy?
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Computer Science Students
Ideal for students seeking a deep understanding of algorithms to excel in academic courses and coding interviews.
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Software Developers
Beneficial for developers wanting to enhance problem-solving skills and learn efficient algorithms for software optimization.
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Data Scientists
Useful for data scientists needing to implement algorithms for data processing and machine learning model optimization.
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Casual Learners
Not suitable for those seeking a light introduction; requires serious commitment to understand complex concepts.
Product Description
Design and Analysis of Algorithm
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Algorithms Editorial Review
Design and Analysis of Algorithm offers an in-depth exploration of algorithms, enhancing readers' understanding through comprehensive examples and applications. Published by Alpha Science, the book spans 428 pages and covers essential topics with clarity. It is in English and made accessible with dimensions of 6.5 x 1.25 x 9.75 inches, making it a suitable reference for students and professionals. Many readers appreciate its thorough approach, making complex concepts understandable. Additionally, its publication date of January 30, 2017, ensures the content is relatively recent within the field, reflecting current trends and methodologies in algorithmic design and analysis.
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Pros
- Comprehensive coverage of algorithmic concepts
- Well-structured with clear examples
- Suitable for students and professionals
- Recent publication reflects current trends
- Accessible format and dimensions
Cons
- Some readers may find it slightly dense for beginners
Product Price History
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SGD 105
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Features & Benefits
- Introduction to the field of algorithms
- Powerful and intuitive taxonomy of algorithm design techniques
- Discussion on algorithm performance
- Coverage of red-black tree, graph algorithms, binary search, and sort algorithms
- Techniques for optimization
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