Dakota Beginner’s Tutorial
This section is intended for users who are new to Dakota, to demonstrate the basics of running a simple example.
After downloading Dakota, make sure that Dakota runs. You should see Dakota version information when you type
Create a working directory.
dakota/share/dakota/examples/users/directory to your working directory.
From the working directory, run:
What should happen
Dakota outputs a large amount of information to help users track progress. Four files should have been created:
The screen output has been redirected to the file
rosen_multidim.stdout. The contents are messages from Dakota and notes about the progress of the iterator (i.e. method/algorithm).
The output file rosen_multidim.out contains information about the function evaluations.
rosen_multidim.dat is created due to the specification of a tabular data file. This summarizes the variables and responses for each function evaluation.
dakota.rst is a restart file. If a Dakota analysis is interrupted, it can be often be restarted without losing all progress. Dakota has some data processing capabilities for output analysis. The output file will contain the relevant results. In this case, the output file has details about each of the 81 function evaluations. For more advanced or customized data processing or visualization, the tabular data file can be imported into another analysis tool.
Assuming Dakota ran successfully, skim the three text files (restart files are in a binary format).
Learn more about this example’s parameter study method, and the rosenbrock test problem.
Explore the many types of studies that are possible in Dakota.