The book Graphs:Theory and Algorithm is a collection of modern articles features several graph-based methods and algorithms. It also covers important theoretical aspects pertaining to matrix representations of graphs such as the Laplacian and distance matrices which can be used for solving problems such that of the Hamiltonian and shortest path, as well as in finding minimum spanning trees and matching patterns.
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ISBN-13
978-1-77407-902-7 (9781774079027)
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Schweitzer Klassifikation
Olga Moreira is a Ph.D. in Astrophysics and B.Sc. in Physics and Applied Mathematics. She is an experienced technical writer and researcher which former fellowships include postgraduate positions at two of the most renown European institutions in the fields of Astrophysics and Space Science (the European Southern Observatory, and the European Space Agency). Presently, she is an independent scientist working on projects involving machine learning and neural networks research as well as peer-reviewing and edition of academic books.
Chapter 1: INTRODUCTION
Chapter 2: An Image Encryption Algorithm Based on Random Hamiltonian Path
Chapter 3: Traveling in Networks with Blinking Nodes
Chapter 4: On Minimum Spanning Subgraphs of Graphs with Proper Connection Number 2
Chapter 5: New algorithm for calculating chromatic index of graphs and its applications
Chapter 6: An Edge-Swap Heuristic for Finding Dense Spanning Trees
Chapter 7: Identifying network structure similarity using spectral graph theory
Chapter 8: On Generalized Distance Gaussian Estrada Index of Graphs
Chapter-9: Nullity and Energy Bounds of Central Graph of Smith Graphs
Chapter-10: Induced Subgraph Saturated Graphs
Chapter-11: Connection and separation in hyper graphs
Chapter 12: Vertex rough graphs
Chapter 13: Incremental Graph Pattern Matching Algorithm for Big Graph Data
Chapter 14: Framework and algorithms for identifying honest blocks in block chain
Chapter 15: Enabling Controlling Complex Networks with Local Topological Information
Chapter 16: Estimation of traffic flow changes using networks in networks approaches
Chapter 17: Hidden geometries in networks arising from cooperative self-assembly
Chapter 18: Using Graph Theory to Assess the Interaction between Cerebral Function, Brain Hemodynamics, and Systemic Variables in Premature Infants
