This project focuses on solving Linear Programming (LP) problems using Python. Linear Programming is a mathematical optimization technique used to achieve the best outcome (e.g., maximum profit or ...

Abstract: This letter presents an enhanced Trust Region Method (TRM) for Sequential Linear Programming (SLP) designed to improve the initial feasible solution to a constrained nonlinear programming ...

This paper presents a computationally efficient method for binary classification using Manski's (1975,1985) maximum score model when covariates are discretely distributed and parameters are partially ...

Abstract: In wireless sensor networks, one of the key challenge is to achieve minimum energy consumption in order to maximize network lifetime. In fact, lifetime depends on many parameters: the ...

Constrained minimization problems are formulated from a quasilinear parabolic boundary value problem (possibly with nonlinear boundary conditions), making use of the ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...