Implementation of numerical optimization algorithms in MATLAB, including derivative-free and gradient-based methods for unconstrained problems, and projection techniques for constrained optimization.

Abstract: This article presents an algorithm design framework for general linearly constrained convex optimization problems. Our approach offers a flexible framework to analyze and design various ...

The original formulation derives an instantaneously optimal sliding-mode guidance law under the assumption of unconstrained control authority. While theoretically sound, such assumptions are difficult ...

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 ...