Combinatorial Problems: Minimum Spanning Tree
N.B. Singh
This audiobook is narrated by a digital voice.
"Combinatorial Problems: Minimum Spanning Tree" is a beginner-friendly introduction to the concept of Minimum Spanning Trees (MST), a fundamental tool in computer science and engineering. This book provides clear explanations and practical examples to demystify MST algorithms, which are essential for efficiently connecting nodes in various networks while minimizing costs. Aimed at absolute beginners, it covers the basic principles, step-by-step algorithms, and real-world applications of MST in telecommunications, transportation, and more. Whether you're a student, aspiring engineer, or curious reader, this accessible guide equips you with the foundational knowledge to understand and apply MST effectively in solving connectivity challenges across different fields.
Duration - 3h 16m.
Author - N.B. Singh.
Narrator - Digital Voice Mary G.
Published Date - Monday, 20 January 2025.
Copyright - © 2024 N.B. Singh ©.
Location:
United States
Description:
This audiobook is narrated by a digital voice. "Combinatorial Problems: Minimum Spanning Tree" is a beginner-friendly introduction to the concept of Minimum Spanning Trees (MST), a fundamental tool in computer science and engineering. This book provides clear explanations and practical examples to demystify MST algorithms, which are essential for efficiently connecting nodes in various networks while minimizing costs. Aimed at absolute beginners, it covers the basic principles, step-by-step algorithms, and real-world applications of MST in telecommunications, transportation, and more. Whether you're a student, aspiring engineer, or curious reader, this accessible guide equips you with the foundational knowledge to understand and apply MST effectively in solving connectivity challenges across different fields. Duration - 3h 16m. Author - N.B. Singh. Narrator - Digital Voice Mary G. Published Date - Monday, 20 January 2025. Copyright - © 2024 N.B. Singh ©.
Language:
English
Preface
Duración:00:00:33
Introduction to Combinatorial Optimization
Duración:00:01:22
Overview of Combinatorial Problems
Duración:00:03:04
Optimization Techniques
Duración:00:03:39
Graph Theory Basics
Duración:00:02:59
Importance of MST in Combinatorial Optimization
Duración:00:03:11
Historical Background
Duración:00:03:23
Outline of the Book
Duración:00:04:27
Fundamentals of Graph Theory
Duración:00:01:03
Graphs and Their Representations
Duración:00:04:40
Graph Terminology
Duración:00:02:57
Types of Graphs
Duración:00:03:21
Graph Traversal Algorithms
Duración:00:04:15
Connectivity and Components
Duración:00:03:54
Graph Properties Relevant to MST
Duración:00:03:46
Minimum Spanning Tree Algorithms
Duración:00:00:04
Kruskal’s Algorithm
Duración:00:03:07
Prim’s Algorithm
Duración:00:02:43
Borůvka’s Algorithm
Duración:00:02:40
Comparison of MST Algorithms
Duración:00:04:19
Implementation Techniques
Duración:00:03:18
Proofs of Correctness
Duración:00:03:20
Advanced MST Algorithms and Techniques
Duración:00:01:03
Fibonacci Heap Implementation
Duración:00:04:45
Reverse-Delete Algorithm
Duración:00:05:04
Parallel MST Algorithms
Duración:00:05:15
Dynamic MST Algorithms
Duración:00:04:56
Distributed MST Algorithms
Duración:00:05:18
Approximation Algorithms
Duración:00:05:49
Applications of Minimum Spanning Trees
Duración:00:01:16
Network Design
Duración:00:06:12
Approximation of NP-Hard Problems
Duración:00:04:31
Image Segmentation
Duración:00:04:07
Phylogenetic Trees
Duración:00:04:13
Supply Chain Optimization
Duración:00:04:16
Complexity and Performance Analysis
Duración:00:01:06
Time Complexity Analysis
Duración:00:04:41
Space Complexity Analysis
Duración:00:05:14
Worst-Case Scenarios
Duración:00:04:59
Average-Case Scenarios
Duración:00:05:10
Lower Bounds
Duración:00:04:24
Experimental Performance
Duración:00:04:49
Recent Developments and Research Directions
Duración:00:01:07
Recent Algorithmic Improvements
Duración:00:04:47
Quantum Computing and MST
Duración:00:05:25
Machine Learning Approaches
Duración:00:05:10
Open Problems
Duración:00:04:48
Research Case Studies
Duración:00:07:17
Future Directions
Duración:00:07:45