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
Duración:00:00:53
Introduction to Graph Theory and Approximation Algorithms
Duración:00:01:07
Basic Concepts in Graph Theory
Duración:00:05:11
Introduction to Approximation Algorithms
Duración:00:03:32
Complexity Classes and Intractability
Duración:00:04:04
Approximation Ratio and Performance Guarantee
Duración:00:03:38
Greedy Algorithms and Their Analysis
Duración:00:03:45
Case Studies in Approximation
Duración:00:03:47
Approximation Algorithms for NP-Hard Problems
Duración:00:01:02
Overview of NP-Hard Problems
Duración:00:03:24
Vertex Cover and Set Cover Problems
Duración:00:03:27
Approximation Algorithms for Knapsack Problems
Duración:00:03:55
Approximation Techniques for Scheduling Problems
Duración:00:03:51
Analysis of Approximation Algorithms
Duración:00:04:04
Case Studies in NP-Hard Problems
Duración:00:04:00
Approximation Techniques in Graph Coloring
Duración:00:00:59
Graph Coloring Basics
Duración:00:02:59
Approximation Algorithms for Vertex Coloring
Duración:00:04:02
Approximation Methods for Edge Coloring
Duración:00:04:03
Chromatic Number and Approximation
Duración:00:03:52
Coloring Planar Graphs
Duración:00:03:53
Advanced Coloring Techniques
Duración:00:04:28
Approximation Methods for Network Design
Duración:00:00:57
Basics of Network Design
Duración:00:04:29
Approximation Algorithms for Steiner Tree Problems
Duración:00:04:01
Approximation Techniques for Network Flow Problems
Duración:00:03:53
Designing Reliable Networks
Duración:00:03:49
Network Optimization and Approximation
Duración:00:04:46
Case Studies in Network Design
Duración:00:04:51
Approximation Algorithms in Graph Partitioning
Duración:00:01:04
Introduction to Graph Partitioning
Duración:00:04:01
Approximation Methods for Minimum Cut Problems
Duración:00:04:30
Spectral Partitioning Techniques
Duración:00:04:57
Multiway Cut and k-Cut Problems
Duración:00:04:56
Approximation Algorithms for Clustering
Duración:00:05:39
Applications of Graph Partitioning
Duración:00:06:02
Approximation Strategies for Traveling Salesman Problems
Duración:00:01:05
Overview of Traveling Salesman Problems
Duración:00:06:05
Approximation Algorithms for Metric TSP
Duración:00:06:06
Heuristic Methods for TSP
Duración:00:06:50
Improving Approximation Ratios
Duración:00:06:40
Case Studies in TSP
Duración:00:13:13
Advanced TSP Approximation Techniques
Duración:00:07:53
Advanced Topics in Graph Theory and Approximation
Duración:00:01:04
Probabilistic Methods in Approximation
Duración:00:07:34
Approximation in Randomized Algorithms
Duración:00:06:53
Parameterized Approximation Algorithms
Duración:00:05:23
Approximation in Online Algorithms
Duración:00:04:46
Advanced Graph Theoretical Concepts
Duración:00:06:00
Future Directions in Approximation Algorithms
Duración:00:08:41