If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

Directed graphs are crucial in modeling complex real-world systems, from gene regulatory networks and flow networks to stochastic processes and graph metanetworks. Representing these directed graphs ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

Trophic coherence and non-normality are both ways of describing the overall directionality of directed graphs or networks. Trophic coherence can be regarded as a measure of how neatly a graph can be ...

In this article, dynamical robustness of a directed complex network with additive noise is inverstigated. The failure of a node in the network is modeled by injecting noise into the node. Under the ...

Java based demonstration of Depth First Search algorithm on an undirected graph using HTML5 Canvas, Javascript and AJAX. This project creates word ladders in directed and undirected graph generated ...

DAGs present an encouraging approach, aimed to improve the existing speed, scalability and cost issues of blockchain technology. The more time you spend in the blockchain and cryptocurrency industry, ...

Enumeration of all Permutations (Recursion, Single Swap, and in Lexicographic Order), and Combinations. Enumeration of all Topological Orderings on a Directed Graph. Enumeration of all Paths in a ...