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Efficient Algorithm Design
Efficient Algorithm Design

Efficient Algorithm Design: Unlock the power of algorithms to optimize computer programming

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Profile Icon Masoud Makrehchi
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€8.99 €26.99
eBook Oct 2024 360 pages 1st Edition
eBook
€8.99 €26.99
Paperback
€32.99
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Renews at €18.99p/m
Arrow left icon
Profile Icon Masoud Makrehchi
Arrow right icon
€8.99 €26.99
eBook Oct 2024 360 pages 1st Edition
eBook
€8.99 €26.99
Paperback
€32.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€8.99 €26.99
Paperback
€32.99
Subscription
Free Trial
Renews at €18.99p/m

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Efficient Algorithm Design

Part 1: Foundations of Algorithm Analysis

This part lays the groundwork for understanding and analyzing algorithms. It begins with fundamental concepts, focusing on how to prove algorithm correctness and measure efficiency. You’ll learn crucial techniques such as mathematical induction, loop invariants, and complexity analysis, setting the stage for more advanced topics.

This part includes the following chapters:

  • Chapter 1, Introduction to Algorithm Analysis
  • Chapter 2, Mathematical Induction and Loop Invariant for Algorithm Correctness
  • Chapter 3, Rate of Growth for Complexity Analysis
  • Chapter 4, Recursion and Recurrence Functions
  • Chapter 5, Solving Recurrence Functions
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Key benefits

  • 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

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.

Who is this book 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.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 31, 2024
Length: 360 pages
Edition : 1st
Language : English
ISBN-13 : 9781835886830
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Product Details

Publication date : Oct 31, 2024
Length: 360 pages
Edition : 1st
Language : English
ISBN-13 : 9781835886830
Category :

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Table of Contents

20 Chapters
Part 1: Foundations of Algorithm Analysis Chevron down icon Chevron up icon
Chapter 1: Introduction to Algorithm Analysis Chevron down icon Chevron up icon
Chapter 2: Mathematical Induction and Loop Invariant for Algorithm Correctness Chevron down icon Chevron up icon
Chapter 3: Rate of Growth for Complexity Analysis Chevron down icon Chevron up icon
Chapter 4: Recursion and Recurrence Functions Chevron down icon Chevron up icon
Chapter 5: Solving Recurrence Functions Chevron down icon Chevron up icon
Part 2: Deep Dive in Algorithms Chevron down icon Chevron up icon
Chapter 6: Sorting Algorithms Chevron down icon Chevron up icon
Chapter 7: Search Algorithms Chevron down icon Chevron up icon
Chapter 8: Symbiotic Relationship between Sort and Search Chevron down icon Chevron up icon
Chapter 9: Randomized Algorithms Chevron down icon Chevron up icon
Chapter 10: Dynamic Programming Chevron down icon Chevron up icon
Part 3: Fundamental Data Structures Chevron down icon Chevron up icon
Chapter 11: Landscape of Data Structures Chevron down icon Chevron up icon
Chapter 12: Linear Data Structures Chevron down icon Chevron up icon
Chapter 13: Non-Linear Data Structures Chevron down icon Chevron up icon
Part 4: Next Steps Chevron down icon Chevron up icon
Chapter 14: Tomorrow’s Algorithms Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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