The Stacked Linear Algebra Graph implements a directed graph with a weight on each vertex and edge. The graph models vertices and adjacency matrices as GraphBLAS sparse vectors and matrices ...
The GraphBLAS, Basic Linear Algebra Subprograms for Graphs, spearheaded by McMillan and collaborators from industry, government, and academia, is a community-driven, open programming specification for ...
A project headed by the SEI’s Scott McMillan took a step in 2020 toward standardizing graph algorithm application development in C++. The GraphBLAS, Basic Linear Algebra Subprograms for Graphs, is a ...
Abstract: In this paper we consider some problems of graph theory from the linear algebra point of view. It turns out, that this approach allows us to prove certain theorems on minimum edge coverings ...
Abstract: A classical difficult isomorphism testing problem is to test isomorphism of p-groups of class 2 and exponent p in time polynomial in the group order. It is known that this problem can be ...
Spectral clustering is an unsupervised learning technique that identifies clusters in data by analyzing the eigenstructure of a similarity matrix. Unlike traditional clustering algorithms that use ...
ABSTRACT: Let G be a finite and undirected simple graph on n vertices, A(G) is the adjacency matrix of G, λ1,λ2,...,λn are eigenvalues of A(G), then the energy of G is . In this paper, we determine ...
A linear equation is drawn as a straight line on a set of axes. To draw the graph we need coordinates. We generate these coordinates by substituting values into the linear equation. STEP 1 - Draw a ...
Vector set of graphs or charts with 12 basic mathematical functions with grid and coordinates. Linear, constant, absolute value, greatest integer, logarithmic, exponential, reciprocal, square root, ...
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