Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...

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.

This proposed optimization algorithm, the Parallel Greylag Goose Optimization (PGGO) algorithm, has garnered a lot of attention due to the fact that it is excellent at handling difficult optimization ...

The first primality tests using randomized algorithms (based on refinements to Fermat’s little theorem) ushered in a new era. Problem after problem turned out to be far easier to solve with randomness ...

Although of unparalleled importance to performance, algorithms, a workable-and-ideally-efficient procedure for solving a problem, can be difficult to develop. And, in practice, your problem will ...

Work by Turing and von Neumann (then Householder, Wilkinson, and others) laid much of the foundations for scientific computing and NLA. 48,49 Among other things, this led to the introduction of ...