Optimal Experimental
Design:
GREGPLUS also has sequential experimental design algorithms, which
search over a menu of candidate experiments defined in the user's
subroutine MODEL. GREGPLUS can identify the additional experiment,
which yields the smallest inference region for the estimable
parameters or for a desired subset of them, or one, which adds the
most information on a parameter that could not be estimated from the
available data. Alternatively, GREGPLUS can select for least total
variance of a subset of the estimable parameters, or for best
estimation of one or more process functions that depend on those
parameters.
PDAPLUS:
Partial-Differential-Algebraic solver and sensitivity analyzer for
initial-boundary-value problems in two dimensions, t and x. This
code uses the method of lines to solve mixed nonlinear systems of
parabolic and first-order partial differential equations and/or
algebraic equations. In contrast to our earlier code PDASAC,
announced in [3], PDAPLUS offers a menu of discretization schemes
(finite differences, orthogonal and finite-element collocation) for
the x-coordinate, and can handle systems with multiple sub regions
of x, such as layered media or plate columns.
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