|
About:
DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) is a general-purpose software toolkit for performing systems analysis and design on high
performance computers. It provides algorithms for
design optimization, uncertainty quantification,
parameter estimation, design of experiments, and
sensitivity analysis, as well as a range of
parallel computing and simulation interfacing
services.
Release focus: Major feature enhancements
Changes:
Wiener-Askey generalized polynomial chaos
expansions, efficient global reliability analysis
(EGRA), incremental Latin hypercube and
incremental Monte Carlo sampling, and
(multimodal/adaptive) importance sampling were
added. The optimization methods were added and
extended. A Python interface, support for failure
detection/mitigation, and mixed surrogate/truth
models were added. Numerous bugs were fixed.
Author:
Dakota Development Team < dakota __at__ sandia __dot__ gov>
[contact developer]
Homepage:
http://endo.sandia.gov/DAKOTA/software.html
Trove categories:
[change]
Dependencies:
[change]
Performance Application Programming Interface (Default branch) (recommended)
[download links]
|
|
» Rating:
(not rated)
» Vitality: 0.03% (Rank 2056)
» Popularity: 0.41% (Rank 14299)
 
(click to enlarge graphs)
Record hits: 3,460
URL hits: 2,235
Subscribers: 10
|
|
