Many of today’s toughest strategic challenges are “wicked problems”—issues shaped by tangled variables, shifting outcomes, ...

This equation is in the standard form of a linear equation: A x + B y = C, where A, B, and C are constants. The variable x is raised to the power of 1. The variable y is raised to the power of 1. The ...

Predicting Values: Once you have a linear equation that represents a relationship, you can use it to predict values. For ...

This is a graphical user interface (GUI) application built with Python and Tkinter, designed to solve linear programming problems using SciPy's optimization library (linprog). Generates a plot of the ...

A holy grail of theoretical computer science, with numerous fundamental implications to more applied areas of computing such as operations research and artificial intelligence, is the question of ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. The traveling salesperson problem is one of the oldest ...

ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...

Vehicle routing problems are a class of NP-hard combinatorial optimization problems which attract a lot of attention, as they have many practical applications. In recent years there have been new ...

And then, you should make inequality sign to be a equal sign, which means you need to add slack variables to every rows. $$\begin{cases} \min \quad z = -6x_1+3x_2-3x_3 \\\ s.t. \quad 2x_1 + x_2 &\leq& ...

Abstract: This work describes a MATLAB tool developed in the context of a didactic application toolbox that implements some advanced optimization and decision support methodologies, intended for use ...