Efficient Algorithm Design
Packt Publishing Limited (Verlag)
978-1-83588-682-3 (ISBN)
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 DescriptionEfficient 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 forIf 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.
Masoud Makrehchi is an associate professor at Ontario Tech University in Canada. He earned his Ph.D. in electrical and computer engineering from the University of Waterloo. With more than two decades of combined experience in industry and academia, Masoud approaches the dynamic fields of AI, machine learning, and natural language processing with a humble curiosity. Over the past 12 years, he has found deep satisfaction in guiding students through the challenging world of algorithms. His teaching philosophy emphasizes creating a collaborative learning environment where the exchange of ideas is as vital as the material itself. Masoud is committed to making the subject matter accessible and engaging, helping students develop a genuine appreciation for the art and science of algorithmic problem-solving.
Table of Contents
Introduction to Algorithm Analysis
Mathematical Induction and Loop Invariant for Algorithm Correctness
Rate of Growth for Complexity Analysis
Recursion and Recurrence Functions
Solving Recurrence Functions
Sorting Algorithms
Search Algorithms
Symbiotic Relationship between Sort and Search
Randomized Algorithms
Dynamic Programming
Landscape of Data Structures
Linear Data Structures
Non-Linear Data Structures
Tomorrow's Algorithms
| Erscheinungsdatum | 01.10.2024 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
| Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra | |
| ISBN-10 | 1-83588-682-5 / 1835886825 |
| ISBN-13 | 978-1-83588-682-3 / 9781835886823 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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