Software
We've compiled a list of 6 free and paid alternatives to Dakota. The primary competitors include R (programming language), RStudio. In addition to these, users also draw comparisons between Dakota and Chemoface, RKWard, R AnalyticFlow. Also you can look at other similar options here: About.
We've compiled a list of 6 free and paid alternatives to Dakota. The primary competitors include R (programming language), RStudio. In addition to these, users also draw comparisons between Dakota and Chemoface, RKWard, R AnalyticFlow. Also you can look at other similar options here: About.
R is a free software environment for statistical computing and graphics.
RKWard is an easy to use, transparent frontend to the R programming language, a very powerful, yet...
R AnalyticFlow is a data analysis software that utilizes the R environment for statistical...
Statistical software for fast and easy interpretation of experimental data in science and R&D...
The Dakota toolkit provides a flexible and extensible interface between simulation codes and...
The Dakota toolkit provides a flexible and extensible interface between simulation codes and...
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The Dakota toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. Dakota contains algorithms for optimization with gradient and non gradient-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.
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