nonlinear-optimization: Various iterative algorithms for optimization of nonlinear functions.
This library implements numerical algorithms to optimize nonlinear functions. Optimization means that we try to find a minimum of the function. Currently all algorithms guarantee only that local minima will be found, not global ones.
Almost any continuosly differentiable function
f : R^n -> R
may be optimized by this library. Any further restrictions
are listed in the modules that need them.
We use the
vector package to represent vectors and
matrices, although it would be possible to use something like
Currently only CM_DESCENT method is implemented.
|Versions [RSS]||0.1, 0.2, 0.3, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.5, 0.3.5.1, 0.3.5.2, 0.3.6, 0.3.7, 0.3.8, 0.3.9, 0.3.10, 0.3.11, 0.3.12, 0.3.12.1|
|Dependencies||base (>=3 && <5), primitive (>=0.2 && <0.3), vector (>=0.5 && <0.6) [details]|
|Copyright||(c) 2010 Felipe A. Lessa and William W. Hager|
|Author||Felipe A. Lessa (Haskell code), William W. Hager and Hongchao Zhang (CM_DESCENT code).|
|Maintainer||Felipe A. Lessa <firstname.lastname@example.org>|
|Uploaded||by FelipeLessa at 2010-03-01T01:49:03Z|
|Downloads||11896 total (38 in the last 30 days)|
|Rating||(no votes yet) [estimated by Bayesian average]|
|Status||Docs uploaded by user
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