Distance in Graphs

Measurements, Density, Pressure, Forces, Motion Graphs, Moments, Springs, Momentum

In graph-based structural pattern recognition, the idea is to transform patterns into graphs and perform the analysis and recognition of patterns in the graph domain - commonly referred to as graph matching. A large number of methods for graph matching have been proposed. Graph edit distance, for instance, defines the dissimilarity of two graphs by the amount of distortion that is needed to transform one graph into the other and is considered one of the most flexible methods for error-tolerant graph matching.This book focuses on graph kernel functions that are highly tolerant towards structural errors.

Beyond the Basics: Linear Equation Graphics - Part- 1

This volume is a small yet unique contribution to graph theory applications and modeling with graphs. The subjects discussed include information hiding using graphs, dynamic graph-based systems to model and control cyber-physical systems, graph reconstruction, average distance neighborhood graphs, and pure and mixed-integer linear programming formulations to cluster networks.

Graph Data Structure, DFS, BFS, Minimum Spanning Tree, Shortest Path, Network Flow, Strongly Connected Components

Implement Graphs important Algorithms like DFS, BFS, Kruskals ,Prims and Dijastra's Algorithms in C++

Force layout graphs in D3 provide one of the most unique and interesting ways to visualize data. This course will cover all the basics that a developer needs to get going with these graphs in D3.