Abstract: This paper presents a new phase 1 simplex algorithm for solving linear programming problems. In the algorithm, first, the equation with the auxiliary objective function at the optimality as ...

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

We consider discounted Markov decision processes (MDPs) with countably-infinite state spaces, finite action spaces, and unbounded rewards. Typical examples of such MDPs are inventory management and ...

Abstract: An efficient LP decoder is the key building block for a maximum likelihood decoder based on integer programming. In this paper we propose to employ a variant of the simplex algorithm for LP ...

Your Artstor image groups were copied to Workspace. The Artstor website will be retired on Aug 1st. Science Progress (1933-) Vol. 103, No. 4, 2020 A new method for ...