A Multilevel Parallel Object-Oriented Framework for Design Optimization,Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis, 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. (Source: http://plato.asu.edu)

References in zbMATH (referenced in 52 articles )

Showing results 21 to 40 of 52.
Sorted by year (citations)
  1. Thompson, A. P.; Swiler, L. P.; Trott, C. R.; Foiles, S. M.; Tucker, G. J.: Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials (2015)
  2. Udagedara, Indika; Helenbrook, Brian; Luttman, Aaron; Mitchell, Stephen E.: Reduced order modeling for accelerated Monte Carlo simulations in radiation transport (2015)
  3. Hingerl, Ferdinand F.; Kosakowski, Georg; Wagner, Thomas; Kulik, Dmitrii A.; Driesner, Thomas: GEMSFIT: a generic fitting tool for geochemical activity models (2014)
  4. Agarwal, Anshul; Biegler, Lorenz T.: A trust-region framework for constrained optimization using reduced order modeling (2013)
  5. Hawkins-Daarud, Andrea; Prudhomme, Serge; van der Zee, Kristoffer G.; Oden, J. Tinsley: Bayesian calibration, validation, and uncertainty quantification of diffuse interface models of tumor growth (2013)
  6. Rios, Luis Miguel; Sahinidis, Nikolaos V.: Derivative-free optimization: a review of algorithms and comparison of software implementations (2013)
  7. Robinson, A. C.; Berry, R. D.; Carpenter, J. H.; Debusschere, B.; Drake, R. R.; Mattsson, A. E.; Rider, W. J.: Fundamental issues in the representation and propagation of uncertain equation of state information in shock hydrodynamics (2013)
  8. Constantine, Paul G.; Eldred, Michael S.; Phipps, Eric T.: Sparse pseudospectral approximation method (2012)
  9. Perez, Ruben E.; Jansen, Peter W.; Martins, Joaquim R. R. A.: PyOpt: a python-based object-oriented framework for nonlinear constrained optimization (2012)
  10. Richardson, James N.; Adriaenssens, Sigrid; Bouillard, Philippe; Coelho, Rajan Filomeno: Multiobjective topology optimization of truss structures with kinematic stability repair (2012)
  11. Eldred, Michael S.: Design under uncertainty employing stochastic expansion methods (2011)
  12. Elman, Howard C.; Miller, Christopher W.; Phipps, Eric T.; Tuminaro, Raymond S.: Assessment of collocation and Galerkin approaches to linear diffusion equations with random data (2011)
  13. Knezevic, David J.; Peterson, John W.: A high-performance parallel implementation of the certified reduced basis method (2011)
  14. Krack, Malte; Secanell, Marc; Mertiny, Pierre: Cost optimization of a hybrid composite flywheel rotor with a split-type hub using combined analytical/numerical models (2011) ioport
  15. Lunacek, Monte; Nag, Ambarish; Alber, David M.; Gruchalla, Kenny; Chang, Christopher H.; Graf, Peter A.: Simulation, characterization, and optimization of metabolic models with the high performance systems biology toolkit (2011)
  16. Afonso, S. M. B.; Lyra, P. R. M.; Albuquerque, T. M. M.; Motta, R. S.: Structural analysis and optimization in the framework of reduced-basis method (2010)
  17. Constantine, Paul G.; Gleich, David F.; Iaccarino, Gianluca: Spectral methods for parameterized matrix equations (2010)
  18. Gutzwiller, David P.; Turner, Mark G.: Rapid low fidelity turbomachinery disk optimization (2010)
  19. Krack, M.; Secanell, M.; Mertiny, P.: Cost optimization of hybrid composite flywheel rotors for energy storage (2010) ioport
  20. Madetoja, Elina; Tarvainen, Pasi: Object-oriented design of process line simulation and optimization -- a case study in papermaking (2010) ioport

Further publications can be found at: http://dakota.sandia.gov/publications.html