GitHub

TSP Approximation Algorithms in Python

Here are a some implementations of various approximation algorithms for the optimal Travelling Salesperson Tour in 2D Euclidean Space. Additionally there are some helper algorithms such as Kruskal's ...
IEEE

Approximation and Heuristic Algorithms for the Priority Facility Location Problem with Outliers

Abstract: In this paper, we propose the Priority Facility Location Problem with Outliers (PFLPO), which is a generalization of both the Facility Location Problem with Outliers (FLPO) and Priority ...
IEEE

An algorithm of polygonal approximation constrained by the offset direction

Abstract: In view of the existing polygonal approximation algorithm of digital curves can't effectively solve the problem of polygonal approximation constrained by the offset direction, this paper ...
GitHub

SuiMikasa/ATA-Approximation-Algorithm

The ATA algorithm provides a novel approximation framework for analytic functions that cannot be expressed in closed-form via elementary or algebraic functions. It introduces a hybrid approximation ...
Microsoft

Stochastic Approximation and Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms

Stochastic approximation algorithms are used to approximate solutions to fixed point equations that involve expectations of functions with respect to possibly unknown distributions. Among many ...
Queen Mary University of London

A polynomial-time approximation algorithm for the permanent of a matrix with non-negative entries

Mark Jerrum, Alistair Sinclair (UC Berkeley) and Eric Vigoda (Georgia Tech) received the Association for Computing Machinery (ACM) Test of Time Award at a virtual ceremony on Wednesday 23 June at the ...