Książki

This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.

Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms

Preface
Table of Notation Chapter 1. Introduction
Chapter 2. Line Search Descent Methods for Unconstrained Minimization
Chapter 3. Standard Methods for Constrained Optimization
Chapter 4. New Gradient-Based Trajectory and Approximation Methods
Chapter 5. Example Problems
Chapter 6. Some Theorems
Chapter 7. The Simplex Method for Linear Programming Problems Bibliography
Index