DAKOTA
Encyclopedia
The Design Analysis Kit for Optimization and Terascale Applications (DAKOTA) is a software toolkit developed by engineers at Sandia National Laboratories
to provide a flexible, extensible interface between analysis codes and iterative systems analysis methods. DAKOTA contains optimization algorithm
s using gradient
and nongradient-based methods, parameter estimation with nonlinear least squares
methods, uncertainty quantification with sampling, reliability, and stochastic
finite element method
s, and sensitivity/variance analysis with design of experiments and parameter study capabilities.
Sandia National Laboratories
The Sandia National Laboratories, managed and operated by the Sandia Corporation , are two major United States Department of Energy research and development national laboratories....
to provide a flexible, extensible interface between analysis codes and iterative systems analysis methods. DAKOTA contains optimization algorithm
Algorithm
In mathematics and computer science, an algorithm is an effective method expressed as a finite list of well-defined instructions for calculating a function. Algorithms are used for calculation, data processing, and automated reasoning...
s using gradient
Gradient
In vector calculus, the gradient of a scalar field is a vector field that points in the direction of the greatest rate of increase of the scalar field, and whose magnitude is the greatest rate of change....
and nongradient-based methods, parameter estimation with nonlinear least squares
Least squares
The method of least squares is a standard approach to the approximate solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. "Least squares" means that the overall solution minimizes the sum of the squares of the errors made in solving every...
methods, uncertainty quantification with sampling, reliability, and stochastic
Stochastic
Stochastic refers to systems whose behaviour is intrinsically non-deterministic. A stochastic process is one whose behavior is non-deterministic, in that a system's subsequent state is determined both by the process's predictable actions and by a random element. However, according to M. Kac and E...
finite element method
Finite element method
The finite element method is a numerical technique for finding approximate solutions of partial differential equations as well as integral equations...
s, and sensitivity/variance analysis with design of experiments and parameter study capabilities.