This project is aimed at implementing nonlinear programming algorithms as the (un-)constrained minimization problems with the focus on their numerical expression using various programming languages.

The use of non-linear programming allows establishing the nutritional requirement needed to maximize production profitability during feed formulation. Cerrate & Waldroup (2009), using non-linear ...

The use of a non-conventional linear programming technique, involving a piecewise differentiable penalty function minimization, is presented in this paper in connection with power system Constrained ...

Linear inverse problems appear in many applications, where different algorithms are typically employed to solve each inverse problem. Nowadays, the rapid development of deep learning (DL) provides a ...

Zakkour, A., Perret, C. and Slaoui, Y. (2023) Stochastic Expectation Maximization Algorithm for Linear Mixed-Effects Model with Interactions in the Presence of Incomplete Data. Entropy, 25, Article ...

Schaum's outline of theory and problems of programming with C by Gottfried, Byron S., 1934- Publication date 1996 Topics C (Computer program language), C (Langage de programmation), C ...

LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface ...