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dc: "Desktop Calculator" arbitrary-precision RPN calculator that comes standard on most Unix-like systems. KCalc, Linux based scientific calculator; Maxima: a computer algebra system which bignum integers are directly inherited from its implementation language Common Lisp. In addition, it supports arbitrary-precision floating-point numbers ...
In computer science, a node d of a control-flow graph dominates a node n if every path from the entry node to n must go through d. Notationally, this is written as d dom n (or sometimes d ≫ n). By definition, every node dominates itself. There are a number of related concepts: A node d strictly dominates a node n if d dominates n and d does ...
Fluffschack — an educational Java web start game demonstrating the relationship between adjacency matrices and graphs. Open Data Structures - Section 12.1 - AdjacencyMatrix: Representing a Graph by a Matrix, Pat Morin; Café math : Adjacency Matrices of Graphs : Application of the adjacency matrices to the computation generating series of walks.
In computer science, arbitrary-precision arithmetic, also called bignum arithmetic, multiple-precision arithmetic, or sometimes infinite-precision arithmetic, indicates that calculations are performed on numbers whose digits of precision are potentially limited only by the available memory of the host system.
JAXB—Java Architecture for XML Binding; JAX-RPC—Jakarta XML (formerly Java XML) for Remote Procedure Calls; JAXP—Java API for XML Processing; JBOD—Just a Bunch of Disks; JCE— Java Cryptography Extension; JCL—Job Control Language; JCP—Java Community Process; JDBC—Java Database Connectivity; JDK—Java Development Kit; JEE—Java ...
For a directed graph = (,), with vertex set and edge set , the reachability relation of is the transitive closure of , which is to say the set of all ordered pairs (,) of vertices in for which there exists a sequence of vertices =,,,..., = such that the edge (,) is in for all .
The recursive implementation will visit the nodes from the example graph in the following order: A, B, D, F, E, C, G. The non-recursive implementation will visit the nodes as: A, E, F, B, D, C, G. The non-recursive implementation is similar to breadth-first search but differs from it in two ways: it uses a stack instead of a queue, and
In graph theory, a clustering coefficient is a measure of the degree to which nodes in a graph tend to cluster together. Evidence suggests that in most real-world networks, and in particular social networks, nodes tend to create tightly knit groups characterised by a relatively high density of ties; this likelihood tends to be greater than the average probability of a tie randomly established ...