optimizeLeastSquaresD

Low level extern(D) instatiation.

LeastSquaresResult!double optimizeLeastSquaresD(LeastSquaresSettings!double settings, size_t m, Slice!(double*) x, Slice!(const(double)*) l, Slice!(const(double)*) u, Slice!(double*) work, Slice!(lapackint*) iwork, LeastSquaresFunction!double f, LeastSquaresJacobian!double g, LeastSquaresThreadManager tm)
pragma(inline, false) @trusted nothrow @nogc pure
LeastSquaresResult!double
optimizeLeastSquaresD
(
scope ref LeastSquaresSettings!double settings
,
size_t m
,
Slice!(double*) x
,
Slice!(const(double)*) l
,
Slice!(const(double)*) u
,
Slice!(double*) work
,
Slice!(lapackint*) iwork
,
scope LeastSquaresFunction!double f
,
scope LeastSquaresJacobian!double g = null
,
scope LeastSquaresThreadManager tm = null
)
LeastSquaresResult!float optimizeLeastSquaresS(LeastSquaresSettings!float settings, size_t m, Slice!(float*) x, Slice!(const(float)*) l, Slice!(const(float)*) u, Slice!(float*) work, Slice!(lapackint*) iwork, LeastSquaresFunction!float f, LeastSquaresJacobian!float g, LeastSquaresThreadManager tm)
alias optimizeLeastSquares(T : double) = optimizeLeastSquaresD
alias optimizeLeastSquares(T : float) = optimizeLeastSquaresS

Parameters

settings LeastSquaresSettings!double: Levenberg-Marquardt data structure
m size_t: length (dimension) of y = f(x)
x Slice!(double*): initial (in) and final (out) X value
l Slice!(const(double)*): lower X bound
u Slice!(const(double)*): upper X bound
f LeastSquaresFunction!double: n -> m function
g LeastSquaresJacobian!double: m × n Jacobian (optional)
tm LeastSquaresThreadManager: thread manager for finite difference jacobian approximation in case of g is null (optional)
work Slice!(double*): floating point workspace length of at least mir_least_squares_work_length
iwork Slice!(lapackint*): floating point workspace length of at least mir_least_squares_iwork_length