marqLevAlg (2.0.1)

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A Parallelized Algorithm for Least-Squares Curve Fitting.

This algorithm provides a numerical solution to the problem of minimizing (or maximizing) a function. This is more efficient than the Gauss-Newton-like algorithm when starting from points very far from the final minimum (or maximum). A new convergence test is implemented (RDM) in addition to the usual stopping criterion : stopping rule is when the gradients are small enough in the parameters metric (GH-1G).

Maintainer: Viviane Philipps
Author(s): Melanie Prague, Viviane Philipps, Cecile Proust-Lima, Boris Hejblum, Daniel Commenges, Amadou Diakite

License: GPL (>= 2.0)

Uses: doParallel, foreach, microbenchmark

Released 3 months ago.

2 previous versions



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