Linear and nonlinear programming are two types of optimization methods that can help you find the best solution to a problem involving decision variables, constraints, and an objective function.

This paper investigates the equivalence between a class of mixed-integer linear and linear programming prob-lems. By utilizing the addition of slack variables theorem, we demonstrate that certain ...

Understand the relationship between optimal solution of an LP and the intersections of constraints. Describe and implement a LP solver based on vertex enumeration. Describe the high-level idea of the ...

Linear and nonlinear programming are powerful methods for optimizing complex problems that involve multiple variables and constraints. However, they also have some challenges and limitations that ...

However, these models do not allow to analyse alternative work plans that consider the trade-offs between time, cost, quality, and safety. In this paper, an integer linear programming problem is ...

Abstract: We will look at the progress in linear and mixed-integer programming software over the last 25 years. As a result of this progress, modern linear programming codes are now capable of ...

Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear Programming: regression, classification and other engineering applications. Integer Linear Programming: Basics, ...