DAKOTA

From UFRC
Revision as of 16:19, 14 April 2014 by Yingz (talk | contribs)
Jump to navigation Jump to search

Description

DAKOTA website  

The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible, extensible interface between analysis codes and iterative systems analysis methods. 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.

These capabilities may be used on their own or as components within advanced strategies such as hybrid optimization, surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty.

Required Modules

modules documentation

Parallel

  • intel
  • openmpi
  • {{#lowercase:DAKOTA}}

System Variables

  • HPC_{{#uppercase:DAKOTA}}_DIR - installation directory
  • HPC_{{#uppercase:DAKOTA}}_BIN - program executable directory




{{#if: |==Citation== If you publish research that uses DAKOTA you have to cite it as follows: