Advanced Computational Algorithms
Advanced Computational Algorithms
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Preface
Advanced Computational Algorithms
Edition Notice
Copyright
Dedication
About the Author
About the Global Data Science Institute
How to Use This Book
Part I: Foundations
1
Introduction & Algorithmic Thinking
2
Divide and Conquer - The Art of Problem Decomposition
Part II: Core Techniques
3
Data Structures for Efficiency
4
Greedy Algorithms - When Local Optimality Leads to Global Solutions
5
Dynamic Programming - When Subproblems Overlap
6
Randomized Algorithms - The Power of Controlled Chaos
Part III: Complexity and Hard Problems
7
Computational Complexity & NP-Completeness - The Limits of Computing
8
Approximation Algorithms - When “Good Enough” is Perfect
Part IV: Advanced Topics
9
Advanced Graph Algorithms - Making Things Flow
10
String Algorithms - Finding Needles in Haystacks at Light Speed
11
Matrix & Numerical Algorithms - When Math Meets Speed
12
Advanced Data Structures - When Arrays and Trees Aren’t Enough
Part V: Applications and Professional Practice
13
Research and Industry Applications - Where Algorithms Meet Reality
14
Algorithm Engineering and Performance Evaluation
15
Research, Reproducibility, and Project Synthesis
References
Table of contents
Concepts, Complexity, and Applied Projects
Moody Amakobe
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Advanced Computational Algorithms
Published
January 1, 2026
Concepts, Complexity, and Applied Projects
Moody Amakobe
Global Data Science Institute
www.gdsi.institute
Preface
Edition Notice