DAKOTA

Description

DDSCAT 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:DDSCAT}}

System Variables

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

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