Function approximation, a central theme in numerical analysis and applied mathematics, seeks to represent complex functions through simpler or more computationally tractable forms. In this context, ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...

One of the issues raised in mathematical sciences and engineering is function approximation. Approximation of the function means to approximate the mathematical rule of the said function by having the ...

This article studies the problem of approximating functions belonging to a Hubert space H d with an isotropie or anisotropic translation invariant (or stationary) reproducing kernel with special ...

Abstract: The cumulative hazard function H(n) should accumulate to infinity over the distribution support, because the survivor function is Sf(n)=exp(-H(n)). The widely used approximation for the ...

Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains difficult, a few ...

The single harmonic oscillator and double-well potentials are important systems in quantum mechanics. The single harmonic oscillator is the paradigm in physics and is taught in nearly all beginner ...