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Least squares problems have two types.
Linear least-squares solves
with bounds or linear constraints. See Linear Least Squares.
Nonlinear least-squares solves
is a nonlinear function and
yi is data. See
Nonlinear Least Squares (Curve Fitting).
Basic example showing several ways to solve a data-fitting problem.
Solves an optical deblurring problem using the problem-based approach.
Example showing how to fit parameters of an ODE to data, or fit parameters of
a curve to the solution of an ODE.
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