Researchers have developed a deep-learning-based surrogate model that dramatically speeds up simulations of nonlinear optical ...

This program is published under MIT license, which can be found in the dedicated LICENSE file and at the end of this README. The usage is explained in the help text, displayed using the --help option.

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...

Large sparse linear systems arise in diverse fields such as structural engineering, fluid dynamics, network analysis and machine learning. Direct factorisation techniques often become impractical for ...

Abstract: We consider the problem of designing output feedback controllers that use measurements from a set of landmarks to navigate through a cell-decomposable environment using duality, control ...

Abstract: This paper focuses on solving the linear quadratic regulator problem for discrete-time linear systems without knowing system matrices. The classical Q-learning methods for linear systems can ...