Graph Theory: Approximation Methods
N.B. Singh
This audiobook is narrated by a digital voice.
Explore the fascinating realm of graph theory through the lens of approximation methods in this comprehensive guide, Graph Theory: Approximation Methods. From fundamental concepts to advanced algorithms, this book delves into strategies for solving complex optimization problems in networks, offering insights and techniques essential for both students and researchers in the field. Discover practical applications, theoretical foundations, and cutting-edge developments that shape the future of graph theory and its computational applications.
Duration - 3h 40m.
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. Explore the fascinating realm of graph theory through the lens of approximation methods in this comprehensive guide, Graph Theory: Approximation Methods. From fundamental concepts to advanced algorithms, this book delves into strategies for solving complex optimization problems in networks, offering insights and techniques essential for both students and researchers in the field. Discover practical applications, theoretical foundations, and cutting-edge developments that shape the future of graph theory and its computational applications. Duration - 3h 40m. Author - N.B. Singh. Narrator - Digital Voice Mary G. Published Date - Monday, 20 January 2025. Copyright - © 2024 N.B. Singh ©.
Language:
English
Preface
Duration:00:00:53
Introduction to Graph Theory and Approximation Algorithms
Duration:00:01:07
Basic Concepts in Graph Theory
Duration:00:05:11
Introduction to Approximation Algorithms
Duration:00:03:32
Complexity Classes and Intractability
Duration:00:04:04
Approximation Ratio and Performance Guarantee
Duration:00:03:38
Greedy Algorithms and Their Analysis
Duration:00:03:45
Case Studies in Approximation
Duration:00:03:47
Approximation Algorithms for NP-Hard Problems
Duration:00:01:02
Overview of NP-Hard Problems
Duration:00:03:24
Vertex Cover and Set Cover Problems
Duration:00:03:27
Approximation Algorithms for Knapsack Problems
Duration:00:03:55
Approximation Techniques for Scheduling Problems
Duration:00:03:51
Analysis of Approximation Algorithms
Duration:00:04:04
Case Studies in NP-Hard Problems
Duration:00:04:00
Approximation Techniques in Graph Coloring
Duration:00:00:59
Graph Coloring Basics
Duration:00:02:59
Approximation Algorithms for Vertex Coloring
Duration:00:04:02
Approximation Methods for Edge Coloring
Duration:00:04:03
Chromatic Number and Approximation
Duration:00:03:52
Coloring Planar Graphs
Duration:00:03:53
Advanced Coloring Techniques
Duration:00:04:28
Approximation Methods for Network Design
Duration:00:00:57
Basics of Network Design
Duration:00:04:29
Approximation Algorithms for Steiner Tree Problems
Duration:00:04:01
Approximation Techniques for Network Flow Problems
Duration:00:03:53
Designing Reliable Networks
Duration:00:03:49
Network Optimization and Approximation
Duration:00:04:46
Case Studies in Network Design
Duration:00:04:51
Approximation Algorithms in Graph Partitioning
Duration:00:01:04
Introduction to Graph Partitioning
Duration:00:04:01
Approximation Methods for Minimum Cut Problems
Duration:00:04:30
Spectral Partitioning Techniques
Duration:00:04:57
Multiway Cut and k-Cut Problems
Duration:00:04:56
Approximation Algorithms for Clustering
Duration:00:05:39
Applications of Graph Partitioning
Duration:00:06:02
Approximation Strategies for Traveling Salesman Problems
Duration:00:01:05
Overview of Traveling Salesman Problems
Duration:00:06:05
Approximation Algorithms for Metric TSP
Duration:00:06:06
Heuristic Methods for TSP
Duration:00:06:50
Improving Approximation Ratios
Duration:00:06:40
Case Studies in TSP
Duration:00:13:13
Advanced TSP Approximation Techniques
Duration:00:07:53
Advanced Topics in Graph Theory and Approximation
Duration:00:01:04
Probabilistic Methods in Approximation
Duration:00:07:34
Approximation in Randomized Algorithms
Duration:00:06:53
Parameterized Approximation Algorithms
Duration:00:05:23
Approximation in Online Algorithms
Duration:00:04:46
Advanced Graph Theoretical Concepts
Duration:00:06:00
Future Directions in Approximation Algorithms
Duration:00:08:41