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 simplex algorithm, a linear programming technique, was adopted to minimize the objective function, which was the feed price, established the following restrictions: i) non-negativity of the ...

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 ...

viii, 532 pages : 28 cmAccess-restricted-item true Addeddate 2022-08-01 15:01:57 Autocrop_version 0.0.14_books-20220331-0.2 Bookplateleaf 0002 Boxid IA40620602 Camera Sony Alpha-A6300 (Control) ...

statistics matlab linear-algebra solver openmp matrix-factorization matrix-functions scientific-computing expression-template gaussian-mixture-models armadillo blas math-library lapack ...