Zero order normal derivative of a distance dependent kernel. More...

Public Types
typedef kernel_base< normal_derivative_kernel< DistanceKernel, 0, 0 > >	base_t

typedef base_t::test_input_t	test_input_t

typedef base_t::trial_input_t	trial_input_t

typedef base_t::result_t	result_t

typedef base_t::x_t	x_t

Public Types inherited from NiHu::kernel_base< normal_derivative_kernel< DistanceKernel, 0, 0 > >
typedef traits_t::test_input_t	test_input_t
	type of the first (test) kernel input

typedef traits_t::trial_input_t	trial_input_t
	type of the second (trial) kernel input

typedef traits_t::result_t	result_t
	compile time check if the two kernel inputs are compatible More...

typedef test_input_t::space_t	space_t
	type of the kernel's domain space

typedef space_t::location_t	x_t
	type of a location vector in the kernel's domain

typedef space_t::scalar_t	scalar_t
	type of the scalar coordinate in the kernel's domain

typedef traits_t::quadrature_family_t	quadrature_family_t
	the quadrature family the kernel is integrated with

typedef traits_t::far_field_behaviour_t	far_field_behaviour_t
	the asymptotic (far field) behaviour of the kernel

typedef kernel_compl_estimator< normal_derivative_kernel< DistanceKernel, 0, 0 > >::type	estimator_t
	the kernel complexity estimator class

Public Member Functions
	normal_derivative_kernel (DistanceKernel const &dk=DistanceKernel())

result_t	operator() (typename base_t::x_t const &x, typename base_t::x_t const &y) const

result_t	operator() (test_input_t const &x, trial_input_t const &y) const

Public Member Functions inherited from NiHu::kernel_base< normal_derivative_kernel< DistanceKernel, 0, 0 > >
kernel_bind	bind (test_input_t const &x) const
	bind the kernel at its test input More...

result_t	operator() (test_input_t const &x, trial_input_t const &y) const
	evaluate kernel at a given source and receiver position More...

Additional Inherited Members
Public Attributes inherited from NiHu::kernel_base< normal_derivative_kernel< DistanceKernel, 0, 0 > >
NIHU_CRTP_HELPERS typedef kernel_traits< normal_derivative_kernel< DistanceKernel, 0, 0 > >	traits_t
	the traits class

Static Public Attributes inherited from NiHu::kernel_base< normal_derivative_kernel< DistanceKernel, 0, 0 > >
static const bool	is_symmetric
	true if K(x,y) = K(y,x)

static const bool	is_sungular
	true if the kernel is singular

Detailed Description

Zero order normal derivative of a distance dependent kernel.

Template Parameters

DistanceKernel the distance dependent kernel

The documentation for this class was generated from the following file:

Public Types