In our journey through decision intelligence history, we've witnessed remarkable individual breakthroughs: Dantzig's simplex algorithm during the Berlin Airlift, von Neumann's duality principle, ...

Today I have uploaded to Arxiv what I expect will be my first academic article. In it I introduce a new algorithm for dealing with a class of problems known as Linear Programming. Linear programming ...

We present a primal-dual interior-point algorithm with a filter line-search method for nonlinear programming. Local and global convergence properties of this method were analyzed in previous work.

This project implements a basic Interior Point Method (IPM) for solving constrained optimization problems with inequality constraints. The algorithm is designed for educational and academic purposes ...

Abstract: In this paper we propose a weighted-path-following interior-point algorithm to monotone mixed linear complementarity problem. The algorithm is based on a new technique for finding a class of ...

Data for a linear programming problem resembles the data for side constraints and nonarc variables supplied to PROC NETFLOW when solving a constrained network problem. It is also very similar to the ...

Geophysical DC resistivity imaging is crucial in subsurface exploration, environmental studies, and resource assessment. However, traditional inversion techniques face challenges in accurately ...

1 Department of Applied Mathematical Sciences, Faculty of Computing, Engineering and Mathematical Sciences, Catholic University of Ghana, Sunyani, Ghana. 2 Department of Mathematics, School of ...

In this study, a trustworthy swarming computing procedure is demonstrated for solving the nonlinear dynamics of the Rabinovich–Fabrikant system. The nonlinear system’s dynamic depends upon the three ...

This project implements an Artificial Neural Network (ANN) to predict the step size in the Primal-Dual Interior Point Method (PD-IPM) optimization algorithm. The goal is to optimize the convergence ...