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專案描述

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.

System Requirements

System requirement is not defined
Information regarding Project Releases and Project Resources. Note that the information here is a quote from Freecode.com page, and the downloads themselves may not be hosted on OSDN.

2008-11-12 07:23 Back to release list
4.2

A new stochastic collocation method based on Lagrange interpolation. Extended quadrature and sparse grid capabilities. Additional random variable support in LHS and Nataf transformation. Generalized incremental Monte Carlo sampling. Extended polynomial chaos-based design optimization capability. New capabilities for model calibration under uncertainty. Enhanced parallelism in sequential hybrid strategy. A direct interface to APPSPACK with support for linear/nonlinear constraints. Improved support for Darwin PPC and Cygwin platforms, Intel and PGI compilers, and OpenMPI message passing.
標籤: Major feature enhancements

Project Resources