This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied first. Focuses are made on the solutions of various types of ...

MATLAB is equipped with YALMIP and the MOSEK solver to solve the constraint shown in the Dynamics.pdf file. In the author's point of view and experience, YALMIP may seem better and more versatile in ...

Optimization problems -- problems that require the minimization of a cost function -- arise in all areas of science and engineering. This short course provides a brief introduction to a range of ...

This repository is about solving the most commonly known problems, knapsack, and maximum stable set using Linear Programming techniques in Matlab. Knapsack problem Maximum Stable Set ...

However, their support for problems with only binary variables severely restricts the scope of practical problems that can be efficiently embedded. We build analog iterative machine (AIM), the first ...

Learn how to use MATLAB to model, simulate, and analyze operations research problems in manufacturing, such as scheduling, inventory control, quality assurance, and production planning.

The Boolean satisfiability (SAT) problem is a fundamental NP-complete problem, and efficiently solving it would revolutionize fields like optimization, artificial intelligence, cryptography, software, ...