Most Efficient Sorting Algorithm
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Efficient Algorithm Design
Author: Masoud Makrehchi
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-10-31
Master advanced algorithm design techniques to tackle complex programming challenges and optimize application performance Key Features Develop advanced algorithm design skills to solve modern computational problems Learn state-of-the-art techniques to deepen your understanding of complex algorithms Apply your skills to real-world scenarios, enhancing your expertise in today's tech landscape Purchase of the print or Kindle book includes a free PDF eBook Book Description Efficient Algorithm Design redefines algorithms, tracing the evolution of computer science as a discipline bridging natural science and mathematics. Author Masoud Makrehchi, PhD, with his extensive experience in delivering publications and presentations, explores the duality of computers as mortal hardware and immortal algorithms. The book guides you through essential aspects of algorithm design and analysis, including proving correctness and the importance of repetition and loops. This groundwork sets the stage for exploring algorithm complexity, with practical exercises in design and analysis using sorting and search as examples. Each chapter delves into critical topics such as recursion and dynamic programming, reinforced with practical examples and exercises that link theory with real-world applications. What sets this book apart is its focus on the practical application of algorithm design and analysis, equipping you to solve real programming challenges effectively. By the end of this book, you’ll have a deep understanding of algorithmic foundations and gain proficiency in designing efficient algorithms, empowering you to develop more robust and optimized software solutions. What you will learn Gain skills in advanced algorithm design for better problem-solving Understand algorithm correctness and complexity for robust software Apply theoretical concepts to real-world scenarios for practical solutions Master sorting and search algorithms, understanding their synergy Explore recursion and recurrence for complex algorithmic structures Leverage dynamic programming to optimize algorithms Grasp the impact of data structures on algorithm efficiency and design Who this book is for If you’re a software engineer, computer scientist, or a student in a related field looking to deepen your understanding of algorithm design and analysis, this book is tailored for you. A foundation in programming and a grasp of basic mathematical concepts is recommended. It's an ideal resource for those already familiar with the basics of algorithms who want to explore more advanced topics. Data scientists and AI developers will find this book invaluable for enhancing their algorithmic approaches in practical applications.
Experimental and Efficient Algorithms
Author: Celso C. Ribeiro
language: en
Publisher: Springer Science & Business Media
Release Date: 2004-05-11
This book constitutes the refereed proceedings of the Third International Workshop on Experimental and Efficient Algorithms, WEA 2004, held in Angra dos Reis, Brazil in May 2004. The 40 revised full papers presented together with abstracts of two invited talks were carefully reviewed and selected from numerous submissions. The book is devoted to the areas of design, analysis, and experimental evaluation of algorithms. Among the topics covered are scheduling, heuristics, combinatorial optimization, evolutionary optimization, graph computations, labeling, robot navigation, shortest path algorithms, flow problems, searching, randomization and derandomization, string matching, graph coloring, networking, error detecting codes, timetabling, sorting, energy minimization, etc.
Algorithm Design
Author: Michael T. Goodrich
language: en
Publisher: John Wiley & Sons
Release Date: 2001-10-15
Are you looking for something different in your Algorithms text? Are you looking for an Algorithms text that offers theoretical analysis techniques as well as design patterns and experimental methods for the engineering of algorithms? Michael Goodrich and Roberto Tamassia, authors of the successful, Data Structures and Algorithms in Java, 2/e, have written Algorithm Design, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data structures from a modern perspective. Written for an undergraduate, junior-senior algorithms course this text offers several implementation case studies and uses Internet applications to motivate many topics such as hashing, sorting and searching.