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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


  • intel
  • openmpi
  • dakota

System Variables

  • HPC_DAKOTA_DIR - installation directory
  • HPC_DAKOTA_BIN - program executable directory
  • HPC_DAKOTA_LIB - library directory
  • HPC_DAKOTA_INC - include file directory