17 lines
807 B
Plaintext
17 lines
807 B
Plaintext
The Dakota toolkit provides a flexible, extensible interface between
|
|
analysis codes and iteration methods. Dakota contains algorithms for
|
|
optimization with gradient and nongradient-based methods; uncertainty
|
|
quantification with sampling, reliability, stochastic expansion,
|
|
and epistemic methods; parameter estimation with nonlinear least
|
|
squares methods; and sensitivity/variance analysis with design of
|
|
experiments and parameter study capabilities. 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.
|
|
|
|
Optional dependency: openmpi (for distributed memory parallel
|
|
capabilities)
|
|
|
|
You can build with multiple jobs by setting the MAKEFLAGS environment
|
|
variable.
|