We present an implementable algorithm for solving constrained optmization problems defined by functions that are not everywhere differentiable. The method is based on combining, modifying and ...

Norma, a quantum computing company, has validated the performance of quantum AI algorithms using NVIDIA CUDA-Q. By running these algorithms for drug development on CUDA-Q, Norma observed computational ...

In this paper we present some algorithms for minimization of DC function (difference of two convex functions). They are descent methods of the proximal-type which use the convex properties of the two ...

A cluster is a collection of data objects which are similar to one another within the same cluster and dissimilar to the objects in the other clusters.

The creators of the algorithm requirement thought of algorithms as distinct from functions, such that algorithms can cure deficiencies in functions. But this is a fallacy.