Where Graph Theory Meets The Road: The Algorithms Behind Route Planning 33 Comments by: Maya Posch April 4, 2024 ...

Theory 42 (1996) 2118-2132] to construct learning algorithms based on greedy approximations which are universally consistent and provide provable convergence rates for large classes of functions.

Two computer scientists found — in the unlikeliest of places — just the idea they needed to make a big leap in graph theory.

We consider the expected performance of two greedy matching algorithms on sparse random graphs and also on random trees. In all cases we establish expressions for the mean and variance of the number ...

In practice, many algorithms always seem to work efficiently. But in theory, there is no guarantee. In an arXiv preprint, researchers from the Kwan Group at the Institute of Science and Technology ...