Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

The team designed a fully dynamic APSP algorithm in the MPC model with low round complexity that is faster than all the existing static parallel APSP algorithms.

The new algorithm performs flips one at a time, searching for a solution. Eventually, one of two things happens: Either the algorithm finds a way to insert the desired edge, or the next flip undoes ...

These algorithms are significant because they can solve the noncommutative weighted Edmonds' problem in polynomial time, demonstrating that certain complex problems can be tackled efficiently[2].

The story begins in 1956, when the Dutch computer scientist Edsger Dijkstra developed a fast algorithm to find shortest paths on a graph with only positive weights. To understand it, imagine starting ...

Comparing algorithms. You use time complexity and space complexity functions to compare the algorithm to others of a similar nature (one sorting algorithm to another sorting algorithm, for example).