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 ...

Linear Programming using Python PuLP This repository demonstrates how to use Linear programming using python package called pulp for optimization problem Examining real-world challenges reveals that ...

Learn about the common challenges and limitations of linear and nonlinear programming methods and how to overcome or mitigate them for algorithm design.

Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

Playing a fundamental role in mathematic optimization, linear programming (LP) problems have been widely encountered in various scientific disciplines and industrial applications. Although static LP ...

Niv Buchbinder, Kamal Jain, Mohit Singh, Secretary Problems via Linear Programming, Mathematics of Operations Research, Vol. 39, No. 1 (February 2014), pp. 190-206 ...

In this note we construct some counterexamples concerning upper semicontinuity and linear upper and lower semicontinuity of the solution sets and ε -solution sets of nonlinear programming programs: ...

This paper presents a tabu search-based heuristic solver for general integer linear programming (ILP) problems as a dependable alternative to branch-and-bound (B&B) solvers. It aims to expand the ...

Marshall, Paul W. "Linear Programming: A Technique for Analyzing Resource Allocation Problems." Harvard Business School Background Note 171-322, January 1971. (Revised November 1975 ...