The OpenD Programming Language

mir_optimize_least_squares_d

Low level extern(C) wrapper instatiation.

extern (C) @safe nothrow @nogc pragma(inline, false) @system nothrow @nogc pure

LeastSquaresResult!double

mir_optimize_least_squares_d

(

scope const ref LeastSquaresSettings!double settings

,

size_t m

,

size_t n

,

double* x

,

const(double)* l

,

const(double)* u

,

Slice!(double*) work

,

Slice!(lapackint*) iwork

,

scope void* fContext

,

scope LeastSquaresFunctionBetterC!double f

,

scope void* gContext = null

,

scope LeastSquaresJacobianBetterC!double g = null

,

scope void* tmContext = null

,

scope LeastSquaresThreadManagerBetterC tm = null

)

Parameters

settings LeastSquaresSettings!double: Levenberg-Marquardt data structure
fContext void*: context for the function
f LeastSquaresFunctionBetterC!double: n -> m function
gContext void*: context for the Jacobian (optional)
g LeastSquaresJacobianBetterC!double: m × n Jacobian (optional)
tm LeastSquaresThreadManagerBetterC: thread manager for finite difference jacobian approximation in case of g is null (optional)
m size_t: length (dimension) of y = f(x)
n size_t: length (dimension) of X
x double*: initial (in) and final (out) X value
l const(double)*: lower X bound
u const(double)*: upper X bound
f LeastSquaresFunctionBetterC!double: n -> m function
fContext void*: f context
g LeastSquaresJacobianBetterC!double: m × n Jacobian (optional)
gContext void*: g context
tm LeastSquaresThreadManagerBetterC: thread manager for finite difference jacobian approximation in case of g is null (optional)
tmContext void*: tm context
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

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