octave-forge-stk
The STK is a (not so) Small Toolbox for Kriging. Its primary focus in on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior. The STK also provides tools for the sequential and non-sequential design of experiments. Even though it is, currently, mostly geared towards the Design and Analysis of Computer Experiments (DACE), the STK can be useful for other applications areas (such as Geostatistics, Machine Learning, Non-parametric Regression, etc.).
This is part of Octave-Forge project.
- Devel package for openSUSE:Factory
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osc -A https://api.opensuse.org checkout science/octave-forge-stk && cd $_
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Source Files
Filename | Size | Changed |
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octave-forge-stk.changes | 0000011511 11.2 KB | |
octave-forge-stk.spec | 0000002177 2.13 KB | |
stk-2.8.1.tar.gz | 0000389336 380 KB |
Revision 22 (latest revision is 23)
Atri Bhattacharya (badshah400)
accepted
request 1136443
from
Stefan Brüns (StefanBruens)
(revision 22)
- Update to version 2.8.1: * Parameter estimation + stk_optim_octavesqp/stk_minimize_boxconstrained.m: Catch sqp errors and return the best point found so far. * Maintainer tools + stk_runtests.m: Optionnally, save the result to a mat-file. + stk_runtests_allmatlabs.m: Run the test suite on all available versions of Matlab. + admin/build_tools: Simplify HTML doc build
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