lsqcurvefit | Solve nonlinear curve-fitting (data-fitting) problems in least-squares sense |
lsqnonlin | Solve nonlinear least-squares (nonlinear data-fitting) problems |
lsqnonlin with a Simulink Model
Example of fitting a simulated model.
Nonlinear Least Squares With and Without Jacobian
Example showing the use of analytic derivatives in nonlinear least squares.
Nonlinear Curve Fitting with lsqcurvefit
Example showing how to do nonlinear data-fitting with lsqcurvefit.
Fit a Model to Complex-Valued Data
Example showing how to solve a nonlinear least-squares problem that has complex-valued data.
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.
Least-Squares (Model Fitting) Algorithms
Minimizing a sum of squares in n dimensions with only bound or linear constraints.
Optimization Options Reference
Describes optimization options.