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In computer science, a jagged array, also known as a ragged array [1] or irregular array [2] is an array of arrays of which the member arrays can be of different lengths, [3] producing rows of jagged edges when visualized as output.
There are 5 units of line (the dash) followed by 2 units of empty space, 1 unit of line (the dot), 2 more units of empty space, and then it starts over again. 0.5 0.5 0.5 represents the color gray. /LTb is the graph's border, and /LTa is for the zero axes. [9]
In computer science, a graph is an abstract data type that is meant to implement the undirected graph and directed graph concepts from the field of graph theory within mathematics. A graph data structure consists of a finite (and possibly mutable) set of vertices (also called nodes or points ), together with a set of unordered pairs of these ...
Developed on the basis of the super-resolution generative adversarial network (SRGAN) method, [8] enhanced SRGAN (ESRGAN) [9] is an incremental tweaking of the same generative adversarial network basis. Both methods rely on a perceptual loss function [10] to evaluate training iterations.
In the mathematical discipline of graph theory, the line graph of an undirected graph G is another graph L(G) that represents the adjacencies between edges of G. L(G) is constructed in the following way: for each edge in G, make a vertex in L(G); for every two edges in G that have a vertex in common, make an edge between their corresponding vertices in L(G).
This graph has 10 edges, eight nodes and one connected component, which also results in a cyclomatic complexity of 3 using the alternative formulation (10 − 8 + 1 = 3). An alternative formulation of this, as originally proposed, is to use a graph in which each exit point is connected back to the entry point.
GraphStream [2] [3] is a graph handling Java library that focuses on the dynamics aspects of graphs. [4] Its main focus is on the modeling of dynamic interaction networks of various sizes. The goal of the library is to provide a way to represent graphs and work on it.
This method replaces each point in the signal with the average of "m" adjacent points, where "m" is a positive integer called the "smooth width". Usually m is an odd number. The triangular smooth is like the rectangular smooth except that it implements a weighted smoothing function.