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 ...

This paper expands these standard methods to include artificial intelligence algorithms, which have the advantage of avoiding any assumptions with regard to the mathematical model functions of the ...

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 ...

Norma, a quantum computing company, has validated the performance of quantum AI algorithms using NVIDIA CUDA-Q. By running ...

Trigonometric functions are often used in embedded systems. Motor drivecontrol applications such as the Park Transform, Clarke Transform, andPWMgeneration use trigonometric functions extensively.

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.