Difference between revisions of "Howto DAKOTA OpenFOAM"
AntonChupin (Talk | contribs) (why?) |
|||
| Line 1: | Line 1: | ||
= Using DAKOTA with OpenFOAM = | = Using DAKOTA with OpenFOAM = | ||
| − | + | == What is DAKOTA == | |
| + | Copy/Paste from their homepage - | ||
| − | + | ''DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, stochastic expansion, and epistemic methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods.'' | |
| − | + | ||
| − | + | DAKOTA is free and can be downloaded from their homepage. You just need to register. | |
| + | http://www.cs.sandia.gov/dakota/index.html | ||
| + | |||
| + | If you are new to DAKOTA I highly recommend that you also install JAGUAR, the | ||
| + | java interface to setup DAKOTA runs. It is especially nice when you dont know | ||
| + | the names of all the different methods or what parameters they require. | ||
| + | |||
| + | == Finding the optimal spray settings == | ||
| + | My example here will focus on how you can use DAKOTA to automatically find the best | ||
| + | spray setting to fit your experimental data. | ||
| + | |||
| + | --[[User:Niklas|Niklas]] 10:41, 6 April 2010 (UTC) | ||
| + | |||
| + | [[Category:Tutorials]] | ||
Revision as of 11:27, 21 October 2013
1 Using DAKOTA with OpenFOAM
1.1 What is DAKOTA
Copy/Paste from their homepage -
DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, stochastic expansion, and epistemic methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods.
DAKOTA is free and can be downloaded from their homepage. You just need to register. http://www.cs.sandia.gov/dakota/index.html
If you are new to DAKOTA I highly recommend that you also install JAGUAR, the java interface to setup DAKOTA runs. It is especially nice when you dont know the names of all the different methods or what parameters they require.
1.2 Finding the optimal spray settings
My example here will focus on how you can use DAKOTA to automatically find the best spray setting to fit your experimental data.
--Niklas 10:41, 6 April 2010 (UTC)
