Search Results for "function graph"

...Moreover, both approaches are an implementation of the Grammar of Graphics and both are powered by the JavaScript graphing library plotly.js, so many of the same concepts and tools that you learn for one interface can be reused in the other. Any graph made with the plotly R package is powered by the JavaScript library plotly.js. The plot_ly() function provides a ‘direct’ interface to plotly.js with some additional abstractions to help reduce typing.

...The headers are intended to be readable, so look at them too for usage information on each function and class.

Aleph-w is a library of data structures and algorithms implemented in and for C++. It contains the main data structures: single and double lists, special arrays (dynamic and of bits), many types of trees: multitrees, binary search trees, avl, red-black, randomized, treaps, splay and other interesting types. Several types of hash tables are implemented: separated chaining, open adressing with linear probing and double function hash; this last one has a garbage colector mechanism that...

Plumbing is a general-purpose Clojure utility belt and data transformation library endorsed for its pragmatic approach to everyday tasks. It offers a toolkit of macros and functions that simplify common data manipulation patterns, and includes a “Graph” abstraction for structured computation flows. Most of it is also compatible with ClojureScript. Graph is a simple and declarative way to specify a structured computation, which is easy to analyze, change, compose, and monitor. Here's a simple example of an ordinary function definition, and its Graph equivalent. A Graph encodes the structure of a computation, but not how it happens, allowing for many execution strategies. ...

A graph implementation based entirely on functions. This text is about the implementation of a Go tool based entirely on functions – the API contains only immutable data types, and the code is built on top of a struct with five function fields. It’s a tool for building virtual graphs. In a virtual graph no vertices or edges are stored in memory, they are instead computed as needed.

...As now, implemented are: * Adjecency graph data structures * Algorithms: SSSP, APSP, Traversal, Min-Cut, Max-Flow, Many types of finding Components * Creating sub graphs, vertice and edge maps that use a function to implement their mapping. Spargel is released under GPLv3