Solves unconstrained nonlinear least squares problems using Powell's dog-leg
method. The user specifies a callback C function that returns the value and
gradients of the model function at a particular operating point. This library
takes a series of dog-leg steps to find a local minimum of the residual
surface.
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This library works with sparse matrices, which makes it suitable for
efficiently solving very large problems.
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This package contains the documentation
Installed Size: 53.2 kB
Architectures: all