Flow graphs represent computational tasks as nodes and the communication between them as edges. By specifying a dependency graph, the developer expresses all the inter-dependencies between executing ...

To understand it, imagine starting from the source and exploring the graph one node at a time ... so the new minimum-cost-flow algorithm could also be used to solve the negative-weight shortest-paths ...

Author’s note: This article shows how to derive circuit gain equations via a signal flow graph. With practice you may be able to write a gain equation by locating signal paths and loops in the ...

Google today released TensorFlow Graph ... entities (nodes or vertices), all of which can store data. Directionality can be ascribed to the edges to describe information, traffic flow, and more.