Abstract: The story behind the Euclidean algorithm and its relationship to the solution of the Diophantine equation is examined in this article. The Euclidean algorithm appears in Proposition 2 in ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

With the rapid development of mobile networks, location-based services have become deeply embedded in people's daily lives. Although the k-NN search problem has obtained a lot of research results, the ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.4c00190. GPU utilization curve of models with the different number ...

The Graph Mining team within Google Research has introduced TeraHAC to address the challenge of clustering extremely large datasets with hundreds of billions of data points, primarily focusing on ...

My solutions to Google's Foobar Challenge for coding data structures and algorithms. Includes my solution code, unit tests, background notes, design notes, and references.

"TARGET" BIGINT NOT NULL REFERENCES "GRAPHSCRIPT"."VERTICES" ("ID") ON UPDATE CASCADE ON DELETE CASCADE INSERT INTO "GRAPHSCRIPT"."VERTICES" VALUES (0); INSERT INTO ...

Graph sparsification is the approximation of an arbitrary graph by a sparse graph. We explain what it means for one graph to be a spectral approximation of another and review the development of ...