Unconstrained Optimization

Introduction

Methods for Local Minimization

Newton's Method

Quasi-Newton Methods

Gauss-Newton Methods

Nonlinear Conjugate Gradient Methods

Principal Axis Method

Methods for Solving Nonlinear Equations

Newton's Method

The Secant Method

Brent's Method

Step Control

Line Search Methods

MoreThuente

Backtracking

Brent

Trust Region Methods

Setting up Optimization Problems in Mathematica

Specifying Derivatives

Variables and Starting Conditions

Vector and Matrix Valued Variables

Termination Conditions

Symbolic Evaluation

UnconstrainedProblems Package

Plotting Search Data

Test Problems

References