dicehub/dakota repository overview

⁠Supported tags

• 6.9, latest
• 6.8
• 6.7
• 6.6
• 6.5

⁠Info

• latest: Is the latest stable release. Currently 6.9
• Do not forget to disable grpahics in your dakota input file by commenting out the keyword graphics inside the ènvironment block

⁠What is DAKOTA?

The Dakota (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. Dakota contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic expansion 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 surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the Dakota toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. (src: User's Manual⁠)

⁠Quick reference

• Where to get help:

  • Official DAKOTA website⁠
  • wolfdynamics⁠
  • dicehub⁠

• Image maintained by:

• dicehub Team ([email protected]⁠)

⁠How to use this image?

Go to the directory with the dakota input file and execute the following command:

docker run -it --rm -v `pwd`:/home/data:Z dicehub/dakota:6.7 -i mogatest1.in

⁠How to use this image in DICE?

Copy and paste the following command to your application settings:

docker run --name {docker_name} --rm -v {dice_workflow}:/home/data:Z dicehub/dakota:6.7 {command}