This repository provides a Python-based framework for computing approximations of gradients, Hessians, and experimental third-order derivatives, with additional MATLAB implementations. The main ...

ABSTRACT: The computation of the basis inverse is the most time-consuming step in simplex type algorithms. This inverse does not have to be computed from scratch at any iteration, but updating schemes ...

This repository contains a Python implementation that finds a simplex embedding for a (possibly depolarised) generalised probabilistic theory (GPT) fragment, which ...

b) if then for every i where is the linear mapping transferring the vertexes of the simplex in the vertexes of the simplex. We suppose that there exists a smooth finite triangulation on M n which is ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

This is a preview. Log in through your library . Abstract This paper documents the recent emergence of generalized networks as a fundamental computer-based planning tool and demonstrates the power of ...