Design Algorithms to Solve Common Problems: Mastering Algorithm Design for Practical Solutions (2024 Guide)...

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Archer Paul

Design Algorithms to Solve Common Problems

Mastering Algorithm Design for Practical Solutions (2024 Guide)

Archer Paul

$70.95 $64.07

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English

Archer Paul
14 April 2024

Discrete mathematics; Algorithms & data structures; Databases

""Design Algorithms to Solve Common Problems"" is your comprehensive guide to mastering the art of algorithm design, equipping you with the skills and strategies needed to tackle a wide range of common computational challenges efficiently and effectively. From sorting and searching to dynamic programming and graph algorithms, this book provides a deep dive into the principles and techniques that drive the development of robust and optimized algorithms.

- Problem-Solving Paradigms:

Explore fundamental problem-solving paradigms, including divide and conquer, greedy algorithms, dynamic programming, and backtracking, learning how to apply these paradigms to solve a variety of common computational problems.

- Algorithmic Techniques:

Master essential algorithmic techniques such as sorting, searching, hashing, and graph traversal, gaining insights into their underlying principles and learning how to leverage them to design efficient algorithms for solving real-world problems.

- Optimization Strategies:

Discover advanced optimization strategies for algorithm design, including memoization, pruning, approximation algorithms, and space-time trade-offs, enabling you to develop algorithms that are both fast and resource-efficient.

- Algorithm Design Patterns:

Learn common algorithm design patterns and idioms that recur across different problem domains, such as sliding windows, two-pointer technique, and topological sorting, and understand how to adapt and apply these patterns to solve specific problems effectively.

- Real-World Applications:

Explore practical applications of algorithm design across diverse domains, including data analysis, network routing, image processing, and artificial intelligence, gaining insights into how algorithms are used to solve real-world problems at scale.

�� Unlock the power of algorithm design and elevate your problem-solving skills to new heights with ""Design Algorithms to Solve Common Problems."" Whether you're a seasoned programmer or a beginner looking to sharpen your skills, this book will equip you with the knowledge and techniques needed to tackle complex computational challenges with confidence and efficiency! ��

By: Archer Paul
Imprint: Archer Paul
Dimensions: Height: 229mm, Width: 152mm, Spine: 6mm
Weight: 159g
ISBN: 9783689440909
ISBN 10: 3689440904
Pages: 112
Publication Date: 14 April 2024
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

Archer Paul is a seasoned computer scientist with a passion for algorithm design and problem-solving. With extensive experience in both academia and industry, Paul brings a unique blend of theoretical knowledge and practical insights to his writing.

Reviews for Design Algorithms to Solve Common Problems: Mastering Algorithm Design for Practical Solutions (2024 Guide)

1. ""Archer Paul's 'Design Algorithms to Solve Common Problems' is a comprehensive guide to mastering algorithm design. From divide and conquer to dynamic programming, this book provides practical solutions to complex problems."" - TechReview 2. ""A must-read for anyone serious about algorithmic problem-solving. 'Design Algorithms to Solve Common Problems' by Archer Paul offers clear explanations and real-world examples that make complex concepts accessible to all."" - CodeWorld 3. ""With 'Design Algorithms to Solve Common Problems, ' Archer Paul demystifies algorithm design, offering practical strategies for solving common problems. A valuable resource for both beginners and experienced programmers."" - AlgorithmInsight 4. ""Paul's book is a treasure trove of algorithmic wisdom. 'Design Algorithms to Solve Common Problems' provides readers with the tools they need to tackle real-world challenges with confidence and efficiency."" - ComputingReview