This repository contains a collection of four linear programming problems solved using the Simplex Method and Graphical Methods. The problems illustrate different optimization scenarios, demonstrating ...

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

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

Learn what linear programming is and how it can help you optimize your logistics operations and save costs. Find out how to apply it to different logistics problems.

This chapter helps the students to identify linear and quadratic optimization problems. It utilizes Python and the module CvxPy, as a modeling language for convex optimization problems. The chapter ...

The most popular approach to handle the challenge of solving fuzzy linear programming problems is to convert the fuzzy linear programming into the corresponding deterministic linear programming.

A novel Mixed-Integer Linear Programming (MILP) model based on continuous time and batch volume formulation is proposed. The objective is to maximize the main pipeline utilization rate for phosphate ...

Discover a new algorithm for solving Multiobjective Programming (MOP) with linear functions and constraints. Explore practical applications and numerical examples in this groundbreaking paper.

Management Science is a cross-functional, multidisciplinary examination of advances and solutions supporting enhanced strategic planning and management science. Includes relevant contributions from ...