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 ...

Abstract. In this paper, we have suggested a new technique to transform multi-objective linear programming problem (MOLPP) to the single objective linear programming problem by using Harmonic mean for ...

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 ...

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) ...

Optimal power flow (OPF) problem for distribution networks is investigated with the integration of distributed generation (DG) in this paper. By considering the objectives of minimal line loss, ...

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 ...