A binary linear programming formulation of the graph edit distance for unweighted, undirected graphs with vertex attributes is derived and applied to a graph recognition problem. A general formulation ...

Algorithm Visualizer is a PyQt6-based desktop application designed to help users understand and visualize various algorithms, including graph algorithms (BFS, DFS, and Greedy Coloring) and linear ...

Using linear programming, we give two dual techniques which allow the building of the standardized model and the corresponding timed event graph. This study improves our understanding of the ...

Next, a linear programming formulation, based on the graph coloring approach discussed above, is used to find the optimal solution to the Sudoku puzzle shown in SudokuPuzzle.png. The script Sudoku.py ...

I. H. Osman, M. Hasan, A. Abdullah, Linear Programming Based Meta-Heuristics for the Weighted Maximal Planar Graph, The Journal of the Operational Research Society ...

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 ...

The GraphBLAS, Basic Linear Algebra Subprograms for Graphs, is a community-driven, open programming specification for graph analysis. The specification makes the development of high-performance graph ...

Graph algorithms consist of a non-linear data structure of nodes (vertices) and edges (relationships between nodes). These programming algorithms are essential for graph manipulation, making them ...

Boole-Bonferroni Inequalities and Linear Programming, Operations Research, Vol. 36, No. 1 (Jan. - Feb., 1988), pp. 145-162 ...