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Mathematica
Overview
Unconstrained Optimization
Introduction
Methods for Local Minimization
Introduction
Newton's Method
Quasi-Newton Methods
Gauss-Newton Methods
Nonlinear Conjugate Gradient Methods
Principal Axis Method
Methods for Solving Nonlinear Equations
Introduction
Newton's Method
The Secant Method
Brent's Method
Step Control
Introduction
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
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