This repository demonstrates how to solve Linear Programming (LP) and Non-Linear Programming (NLP) problems using the Sequential Thinking Model Context Protocol (MCP). The approach breaks down complex ...

Mathematical programs with complementarity constraints are notoriously difficult to solve due to their nonconvexity and lack of constraint qualifications in every feasible point. This letter focuses ...

Linear programming (LP) is a powerful technique for optimizing a linear objective function subject to a set of linear constraints. However, solving LP problems can be time-consuming and ...

This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical ...

Learn how to use numerical linear algebra to model, analyze, and optimize various engineering phenomena, such as heat transfer, fluid dynamics, structural mechanics, and signal processing.

A general mesh independent filter as a mean to control the complexity of topology optimization designed structures is discussed. A new mesh-independent filter, applied over the move-limits of the ...

ABSTRACT: In this paper, we introduce a numerical treatment using generalized Euler method (GEM) for the non-linear programming problem which is governed by a system of fractional differential ...

Both problems are very well known NP-hard problems and can be formulated as integer linear programming problems. Heuristic methods e.g. the "first fit decreasing" (FFD) and "greedy" algorithm (GA) ...

The aim of this study is to present an alternative approach for solving the multi-objective posynomial geometric programming problems. The proposed approach minimizes the weighted objective function ...

Mathematical programs with complementarity constraints are notoriously difficult to solve due to their nonconvexity and lack of constraint qualifications in every feasible point. This letter focuses ...