After installing and adding everything necessary, all you need to do is run the program, choose whether or not you want random node locations, and then press the new graph button to create both the ...

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 ...

The code constructs the adjacency matrix of the molecular graph by converting the generated molecule object to pdb block and reading the CONECT records.. The code extracts seven atomic properties from ...

Graph Theory Matrix Approach (GTMA) is moving with great speed into the main stream of computer design, Information sciences, Information and Computer programming, Artificial Intelligence and design, ...

Analyzing large data sets are challenging. Most data analytics research has proposed parallel algorithms that outside a DBMS because SQL is considered inadequate for complexity computations. R and ...

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...