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Unconstrained Optimization
Functions
fminsearch | Find minimum of unconstrained multivariable function using derivative-free method |
fminunc | Find minimum of unconstrained multivariable function |
Topics
Unconstrained Solutions
Shows how to solve for the minimum of Rosenbrock's function using different solvers, with or without gradients.
fminunc Unconstrained Minimization
Example of unconstrained nonlinear programming.
Minimization with Gradient and Hessian
Example of unconstrained nonlinear programming including derivatives.
Minimization with Gradient and Hessian Sparsity Pattern
Example of nonlinear programming using some derivative information.
Parallel Computing
What Is Parallel Computing in Optimization Toolbox?
Using multiple processors for optimization.
Using Parallel Computing in Optimization Toolbox
Automatic gradient estimation in parallel.
Improving Performance with Parallel Computing
Considerations for speeding optimizations.
Simulation or ODE
Optimizing a Simulation or Ordinary Differential Equation
Special considerations in optimizing simulations, black-box objective functions, or ODEs.
Algorithms and Other Theory
Unconstrained Nonlinear Optimization Algorithms
Minimizing a single objective function in n dimensions without constraints.
Steps that fminsearch takes to
minimize a function.
Optimization Options Reference
Describes optimization options.
Explains why solvers might not find the smallest minimum.
Lists published materials that support concepts implemented in the solver algorithms.
