Path planning, a pivotal constituent of Unmanned Aerial Vehicle (UAV) systems, has emerged as a prominent domain of inquiry, with research ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

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

RNG systems ensure randomness but face manipulation risks. Provably Fair systems enhance trust with verifiability. Beyond ...

There is no efficient deterministic algorithm for this problem, but you can use a randomized algorithm that picks a random permutation of the vertices, and checks if it forms a Hamiltonian cycle.

In a 1977 proof, for example, Robert Solovay and Volker Strassen introduced a randomized algorithm that could determine whether a number is prime faster than the best deterministic algorithms of that ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

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 ...