Graph algorithms can be used in programming to model and solve various real-world problems, such as network routing, social network analysis, recommendation systems, web crawling, and image ...

A puzzle that has long flummoxed computers and the scientists who program them has suddenly become far more manageable. A new algorithm efficiently solves the graph isomorphism problem, computer ...

Graph Theory Matrix Approach (GTMA) is moving with great speed into the main stream of computer design, Information sciences, Information and Computer programming, Artificial Intelligence and design, ...

Programming assignment 2 for Computer Architecture Fall 2020. Exact assignment details found in a pdf within pa2 folder. Earned 130/150 points. Autograder omitted. Represented an undirected graph with ...

Our unique use of graph programming means that, unlike other graph-based EA's (e.g. the remarkable Cartesian Genetic Programming) we can directly preserve acylicity by designing a graph program which ...

For example, graphs that are 3-valent (meaning that every node has exactly three connections) correspond to programs in lambda calculus that are linear (meaning that every variable in the program is ...

Optimization is a powerful paradigm for expressing and solving problems in a wide range of areas, and has been successfully applied to many vision problems. Discrete optimization techniques are ...

Economics professor Ross McKitrick and his coauthor, Stephen McIntyre, have uncovered fundamental flaws in the “hockey stick graph” used by the Intergovernmental Panel on Climate Change to argue that ...

Learn how to use dynamic programming algorithms for string matching in two data structures: matrix and graph. Find patterns in texts with multiple dimensions.