Evaluate a prebuilt adjoint objective gradient at given parameters

Usage

.rxAdjointGradEval(
  build,
  params,
  obsTimes,
  obs,
  weight = 1,
  denseBy = 0.01,
  atol = 1e-10,
  rtol = 1e-10
)

build: object returned by .rxAdjointGradBuild().
params: named numeric vector of parameter values.
obsTimes: numeric observation times.
obs: numeric observed values aligned with obsTimes.
weight: numeric scalar or vector of least-squares observation weights (ignored when errModel is supplied).
denseBy: grid spacing for the forward checkpoint trajectory; smaller values reduce the covariate-interpolation error.
atol, rtol: solver tolerances used for both the forward checkpoint and the backward sweeps.

named numeric vector dG/dtheta over the build's calcSens.

Matthew L. Fidler