Collaboration diagram for openswmm::twoD::dispersion::GradientFit:

Public Member Functions
void	add (double x, double y, double difference)
	Accumulate one inverse-distance least-squares sample into this fit.

std::array< double, 2 >	value () const
	Solve the accumulated planar gradient with a rank-one fallback.

Member Function Documentation

◆ add()

void openswmm::twoD::dispersion::GradientFit::add	(	double	x,
		double	y,
		double	difference )

inline

Accumulate one inverse-distance least-squares sample into this fit.

Parameters

[in]	x	Finite neighbor-minus-center X displacement in m.
[in]	y	Finite neighbor-minus-center Y displacement in m.
[in]	difference	Finite neighbor-minus-center scalar difference in native concentration/temperature units.

Postcondition: Adds weighted moment/RHS terms; a nonpositive/NaN squared distance is skipped. Does not validate other nonfinite inputs or allocate. Requires exclusive fit access while accumulating.

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std::array< double, 2 > openswmm::twoD::dispersion::GradientFit::value ( ) const

inline

Solve the accumulated planar gradient with a rank-one fallback.

Returns: Value-owned X/Y gradient in scalar units per m. Zero for nonpositive trace; full 2x2 inverse for det > 1e-12*trace^2, otherwise only the resolved rank-one direction.