This project provides a linear program solver which utilizes the simplex dictionary method to solve problems with an arbitrary number of optimization variables and constraints. Whitespace between ...

Calculus I,II + Algorithms + Linear Algebra. Topics Covered. Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, ...

This program implements the Gaussian Elimination algorithm, a fundamental method in linear algebra for solving systems of linear equations, determining matrix inverses, and calculating determinants..

In this review we describe recent developments in linear and integer (linear) programming. For over 50 years Operational Research practitioners have made use of linear optimisation models to aid ...

The landscape of linear programming (LP) is undergoing a transformative shift with NVIDIA's introduction of cuOpt, a GPU-accelerated solver that promises unprecedented speed and efficiency. According ...

Understanding the maximum size of a code with a given minimum distance is a major question in computer science and discrete mathematics. The most fruitful approach for finding asymptotic bounds on ...

The mean vector and the second-moment matrix of the nonnegative objective coefficients are assumed to be known, but the exact form of the distribution is unknown. Our main result shows that computing ...