Basic example showing several ways to solve a data-fitting problem.
Shows how to solve for the minimum of Rosenbrock's function using different solvers, with or without gradients.
Example of fitting a simulated model.
Example showing the use of analytic derivatives in nonlinear least squares.
Example showing how to do nonlinear data-fitting with lsqcurvefit.
Example showing how to fit parameters of an ODE to data, or fit parameters of a curve to the solution of an ODE.
Example showing how to solve a nonlinear least-squares problem that has complex-valued data.
Using multiple processors for optimization.
Automatic gradient estimation in parallel.
Considerations for speeding optimizations.