Detailed Description

template<short_t d, class T>
class gismo::gsTensorNurbsBasis< d, T >

A tensor product Non-Uniform Rational B-spline (NURBS) basis.

This is the rational version of gsTensorBSplineBasis.

Template Parameters

d	dimension of the parameter domain
T	coefficient type
KnotVectorType	the knot vector type the underlying NURBS bases use

Inheritance diagram for gsTensorNurbsBasis< d, T >:

Collaboration diagram for gsTensorNurbsBasis< d, T >:

Public Types
typedef gsRationalBasis < typename gsBSplineTraits< d, T >::Basis >	Base
	Base type.

typedef Src_t::Basis_t	Basis_t
	Coordinate basis type.

typedef gsBSplineTraits < static_cast< short_t >d-1), T >::RatBasis	BoundaryBasisType
	Associated Boundary basis type.

typedef gsBSplineBasis< T >	Family_t
	Family type.

typedef gsBSplineTraits< d, T > ::RatGeometry	GeometryType
	Associated geometry type.

typedef memory::shared_ptr < gsTensorNurbsBasis >	Ptr
	Shared pointer for gsTensorNurbsBasis.

typedef T	Scalar_t
	Coefficient type.

typedef gsBSplineTraits< d, T > ::Basis	SourceBasis
	Associated source basis type.

typedef gsBSplineTraits< d, T > ::Basis	Src_t
	Source basis type.

typedef memory::unique_ptr < gsTensorNurbsBasis >	uPtr
	Unique pointer for gsTensorNurbsBasis.

Public Member Functions
gsMatrix< index_t >	active (const gsMatrix< T > &u) const
	Returns the indices of active (nonzero) functions at points u, as a list of indices. More...

virtual void	active_into (const gsMatrix< T > &u, gsMatrix< index_t > &result) const
	Indices of active (non-zero) function(s) for each point. More...

gsMatrix< index_t >	allBoundary () const
	Returns the indices of the basis functions that are nonzero at the domain boundary.

virtual void	anchor_into (index_t i, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Returns the anchor point for member i of the basis.

gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t >	anchors () const
	Returns the anchor points that represent the members of the basis. There is exactly one anchor point per basis function. More...

virtual void	anchors_into (gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Returns the anchor points that represent the members of the basis in result. There is exactly one anchor point per basis function. More...

const gsBasis< T > &	basis (const index_t k) const
	Helper which casts and returns the k-th piece of this function set as a gsBasis.

gsMatrix< index_t >	boundary (boxSide const &s) const
	Returns the indices of the basis functions that are nonzero at the domain boundary as single-column-matrix.

BoundaryBasisType::uPtr	boundaryBasis (boxSide const &s)
	Gives back the boundary basis at boxSide s.

gsMatrix< index_t >	boundaryOffset (boxSide const &s, index_t offset) const

bool	check () const
	Check the rational basis for consistency.

uPtr	clone ()
	Clone methode. Produceds a deep copy inside a uPtr.

gsSparseMatrix < gsBSplineTraits< d, T > ::Basis::Scalar_t >	collocationMatrix (gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > const &u) const
	Computes the collocation matrix w.r.t. points u. More...

virtual const gsBasis< T > &	component (short_t i) const
	For a tensor product basis, return the (const) 1-d basis for the i-th parameter component.

virtual gsBasis < gsBSplineTraits< d, T > ::Basis::Scalar_t > &	component (short_t i)
	For a tensor product basis, return the 1-d basis for the i-th parameter component.

virtual uPtr	componentBasis (boxComponent b) const
	Returns the basis that corresponds to the component.

virtual uPtr	componentBasis_withIndices (boxComponent b, gsMatrix< index_t > &indices, bool noBoundary=true) const
	Returns the basis that corresponds to the component. More...

virtual void	compute (const gsMatrix< T > &in, gsFuncData< T > &out) const
	Computes function data. More...

virtual void	connectivity (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &nodes, gsMesh< gsBSplineTraits< d, T >::Basis::Scalar_t > &mesh) const

virtual void	connectivityAtAnchors (gsMesh< gsBSplineTraits< d, T >::Basis::Scalar_t > &mesh) const

virtual gsBasis::uPtr	create () const
	Create an empty basis of the derived type and return a pointer to it.

short_t	degree (short_t i=0) const
	Degree with respect to the i-th variable. If the basis is a tensor product of (piecewise) polynomial bases, then this function returns the polynomial degree of the i-th component.

void	degreeDecrease (short_t const &i=1, short_t const dir=-1)
	Lower the degree of the basis by the given amount, preserving knots multiplicity.

void	degreeElevate (short_t const &i=1, short_t const dir=-1)
	Elevate the degree of the basis by the given amount, preserve smoothness.

void	degreeIncrease (short_t const &i=1, short_t const dir=-1)
	Elevate the degree of the basis by the given amount, preserve knots multiplicity.

void	degreeReduce (short_t const &i=1, short_t const dir=-1)
	Reduce the degree of the basis by the given amount, preserve smoothness.

gsMatrix< T >	deriv (const gsMatrix< T > &u) const
	Evaluate the derivatives,. More...

gsMatrix< T >	deriv2 (const gsMatrix< T > &u) const
	Evaluates the second derivatives of active (i.e., non-zero) functions at points u. More...

virtual void	deriv2_into (const gsMatrix< T > &u, gsMatrix< T > &result) const
	Second derivatives. More...

virtual void	deriv_into (const gsMatrix< T > &u, gsMatrix< T > &result) const
	First derivatives. More...

virtual std::string	detail () const
	Prints the object as a string with extended details.

gsDomain< T > *	domain () const

short_t	domainDim () const
	Dimension of the (source) domain. More...

size_t	elementIndex (const gsVector< T > &u) const
	See gsBasis for a description.

virtual size_t	elementIndex (const gsVector< gsBSplineTraits< d, T >::Basis::Scalar_t > &u) const
	Returns an index for the element which contains point u.

virtual gsMatrix < gsBSplineTraits< d, T > ::Basis::Scalar_t >	elementInSupportOf (index_t j) const
	Returns (the coordinates of) an element in the support of basis function j.

virtual void	elevateContinuity (int const &i=1)
	Elevates the continuity of the basis along element boundaries.

gsMatrix< T >	eval (const gsMatrix< T > &u) const
	Evaluate the function,. More...

virtual void	eval_into (const gsMatrix< T > &u, gsMatrix< T > &result) const
	Evaluates the function(s). More...

std::vector< gsMatrix< T > >	evalAllDers (const gsMatrix< T > &u, int n, bool sameElement=false) const
	Evaluate all derivatives upto order n,. More...

virtual void	evalAllDers_into (const gsMatrix< T > &u, int n, std::vector< gsMatrix< T > > &result, bool sameElement=false) const
	Evaluate the nonzero functions and their derivatives up to order n at points u into result. More...

gsBasisFun< gsBSplineTraits< d, T >::Basis::Scalar_t >	function (index_t i) const
	Returns the i-th basis function as a gsFunction. More...

virtual gsBSplineTraits< d, T > ::Basis::Scalar_t	getMaxCellLength () const
	Get the maximum mesh size, as expected for approximation error estimates.

virtual gsBSplineTraits< d, T > ::Basis::Scalar_t	getMinCellLength () const
	Get the minimum mesh size, as expected for inverse inequalities.

	gsTensorNurbsBasis (const KnotVectorType &KV1, const KnotVectorType &KV2)
	Constructors for gsTensorNurbsBasis.

virtual memory::unique_ptr < gsGeometry< gsBSplineTraits < d, T >::Basis::Scalar_t > >	interpolateAtAnchors (gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > const &vals) const
	Applies interpolation of values pts using the anchors as parameter points. May be reimplemented in derived classes with more efficient algorithms. (by default uses interpolateData(pts,vals)

memory::unique_ptr< gsGeometry < gsBSplineTraits< d, T > ::Basis::Scalar_t > >	interpolateData (gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > const &vals, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > const &pts) const
	Applies interpolation given the parameter values pts and values vals.

virtual bool	isRational () const
	Returns true, since by definition a gsRationalBasis is rational.

gsBasis< T >::domainIter	makeDomainIterator () const
	Create a domain iterator for the computational mesh of this basis, that points to the first element of the domain.

gsBasis< T >::domainIter	makeDomainIterator (const boxSide &s) const
	Create a boundary domain iterator for the computational mesh this basis, that points to the first element on the boundary of the domain.

virtual memory::unique_ptr < gsGeometry< gsBSplineTraits < d, T >::Basis::Scalar_t > >	makeGeometry (gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > coefs) const =0
	Create a gsGeometry of proper type for this basis with the given coefficient matrix.

memory::unique_ptr< gsBasis< T > >	makeNonRational () const

virtual void	matchWith (const boundaryInterface &bi, const gsBasis< gsBSplineTraits< d, T >::Basis::Scalar_t > &other, gsMatrix< index_t > &bndThis, gsMatrix< index_t > &bndOther, index_t offset=0) const
	Computes the indices of DoFs that match on the interface bi. The interface is assumed to be a common face between this patch and other, with an offset offset. The output is two lists of indices bndThis and bndOther, with indices that match one-to-one on the boundary bi. More...

short_t	maxDegree () const
	If the basis is of polynomial or piecewise polynomial type, then this function returns the maximum polynomial degree.

short_t	minDegree () const
	If the basis is of polynomial or piecewise polynomial type, then this function returns the minimum polynomial degree.

virtual index_t	nPieces () const
	Number of pieces in the domain of definition.

size_t	numElements (boxSide const &s=0) const
	The number of elements on side s.

const gsBasis< gsBSplineTraits < d, T >::Basis::Scalar_t > &	piece (const index_t k) const
	Returns the piece(s) of the function(s) at subdomain k.

std::ostream &	print (std::ostream &os) const
	Prints the object as a string.

gsMatrix< T >	projectiveCoefs (const gsMatrix< T > &coefs) const

virtual void	reduceContinuity (int const &i=1)
	Reduces the continuity of the basis along element boundaries.

virtual void	refine (gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > const &boxes, int refExt=0)
	Refine the basis on the area defined by the matrix boxes. More...

void	refineElements (std::vector< index_t > const &boxes)
	Refines specified areas or boxes, depending on underlying basis. More...

void	refineElements_withCoefs (gsMatrix< T > &coefs, std::vector< index_t > const &boxes)
	Refines specified areas or boxes, depending on underlying basis. More...

virtual void	refineElements_withCoefs (gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &coefs, std::vector< index_t > const &boxes)
	Refine basis and geometry coefficients to levels. More...

virtual void	reverse ()
	Reverse the basis.

void	setDegree (short_t const &i)
	Set the degree of the basis (either elevate or reduce) in order to have degree equal to i wrt to each variable.

void	setDegreePreservingMultiplicity (short_t const &i)
	Set the degree of the basis (either increase or decrecee) in order to have degree equal to i.

void	setWeights (gsMatrix< T > const &w)
	Set weights.

index_t	size () const
	size More...

void	size_cwise (gsVector< index_t, d > &result) const
	The number of basis functions in the direction of the k-th parameter component.

const gsBSplineTraits< d, T > ::Basis &	source () const
	Returns the source basis of the rational basis.

gsBSplineTraits< d, T >::Basis &	source ()

void	stride_cwise (gsVector< index_t, d > &result) const
	Returns the strides for all dimensions.

gsMatrix< T >	support () const
	Returns (a bounding box for) the domain of the whole basis. More...

gsMatrix< T >	support (const index_t &i) const
	Returns (a bounding box for) the support of the i-th basis function. More...

gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t >	supportInterval (index_t dir) const
	Returns an interval that contains the parameter values in direction dir. More...

virtual short_t	targetDim () const
	Dimension of the target space. More...

virtual gsBasis::uPtr	tensorize (const gsBasis &other) const
	Return a tensor basis of this and other.

short_t	totalDegree () const
	If the basis is of polynomial or piecewise polynomial type, then this function returns the total polynomial degree.

virtual void	uniformCoarsen (int numKnots=1)
	Coarsen the basis uniformly by removing groups of numKnots consecutive knots, each knot removed mul times. More...

virtual void	uniformCoarsen_withCoefs (gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &coefs, int numKnots=1)
	Coarsen the basis uniformly. More...

virtual void	uniformCoarsen_withTransfer (gsSparseMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t, RowMajor > &transfer, int numKnots=1)
	Coarsen the basis uniformly and produce a sparse matrix which maps coarse coefficient vectors to refined ones. More...

void	uniformRefine (int numKnots=1, int mul=1, int dir=-1)
	Refine the basis uniformly by inserting numKnots new knots with multiplicity mul on each knot span.

virtual void	uniformRefine_withCoefs (gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &coefs, int numKnots=1, int mul=1, int dir=-1)
	Refine the basis uniformly. More...

virtual void	uniformRefine_withTransfer (gsSparseMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t, RowMajor > &transfer, int numKnots=1, int mul=1)
	Refine the basis uniformly. More...

T &	weight (int i)
	Access to i-th weight.

const T &	weight (int i) const
	Const access to i-th weight.

const gsMatrix< T > &	weights () const
	Returns the weights of the rational basis.

gsMatrix< T > &	weights ()
	Returns the weights of the rational basis.

Evaluation functions
virtual void	active_into (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, gsMatrix< index_t > &result) const
	Returns the indices of active basis functions at points u, as a list of indices, in result. A function is said to be active in a point if this point lies in the closure of the function's support. More...

virtual void	eval_into (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Evaluates nonzero basis functions at point u into result. More...

virtual void	evalSingle_into (index_t i, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Evaluate the i-th basis function at points u into result.

virtual void	deriv_into (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Evaluates the first partial derivatives of the nonzero basis function. More...

virtual void	deriv2_into (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Evaluate the second derivatives of all active basis function at points u. More...

gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t >	evalSingle (index_t i, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u) const
	Evaluate a single basis function i at points u.

gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t >	derivSingle (index_t i, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u) const
	Evaluate a single basis function i derivative at points u.

gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t >	deriv2Single (index_t i, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u) const
	Evaluate the second derivative of a single basis function i at points u.

gsVector< index_t >	numActive (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u) const
	Number of active basis functions at an arbitrary parameter value. More...

virtual void	numActive_into (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, gsVector< index_t > &result) const
	Returns the number of active (nonzero) basis functions at points u in result.

virtual bool	isActive (const index_t i, const gsVector< gsBSplineTraits< d, T >::Basis::Scalar_t > &u) const
	Returns true if there the point u with non-zero value or derivatives when evaluated at the basis function i.

virtual void	activeCoefs_into (const gsVector< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &coefs, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Returns the matrix result of active coefficients at points u, each row being one coefficient. The order of the rows is the same as active_into and eval_into functions. More...

virtual void	derivSingle_into (index_t i, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Evaluates the (partial) derivatives of the i-th basis function at points u into result. More...

virtual void	deriv2Single_into (index_t i, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Evaluate the (partial) derivatives of the i-th basis function at points u into result.

virtual void	evalAllDersSingle_into (index_t i, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, int n, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Evaluate the basis function i and its derivatives up to order n at points u into result.

virtual void	evalDerSingle_into (index_t i, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, int n, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Evaluate the (partial) derivative(s) of order n the i-th basis function at points u into result.

virtual gsMatrix < gsBSplineTraits< d, T > ::Basis::Scalar_t >	laplacian (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u) const
	Compute the Laplacian of all nonzero basis functions at points u.

Static Public Member Functions
static gsMatrix< T >	projectiveCoefs (const gsMatrix< T > &coefs, const gsMatrix< T > &weights)

static void	setFromProjectiveCoefs (const gsMatrix< T > &pr_coefs, gsMatrix< T > &coefs, gsMatrix< T > &weights)

Geometry evaluation functions
These functions evaluate not the individual basis functions of the basis, but a geometry object which is represented by a coefficient matrix w.r.t. this basis object. For the format of the coefficient matrix, see gsGeometry. These functions have default implementations which simply compute the basis function values and perform linear combination, but they may be overridden in derived classes if a higher-performance implementation is possible.
virtual void	evalFunc_into (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &coefs, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Evaluate the function described by coefs at points u, i.e., evaluates a linear combination of coefs x BasisFunctions, into result. More...

gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t >	evalFunc (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &coefs) const
	Evaluate the function described by coefs at points u. More...

gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t >	derivFunc (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &coefs) const
	Evaluate the derivatives of the function described by coefs at points u. More...

virtual void	derivFunc_into (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &coefs, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Evaluate the derivatives of the function described by coefs at points u. More...

virtual void	jacobianFunc_into (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &coefs, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Evaluate the Jacobian of the function described by coefs at points u. Jacobian matrices are stacked in blocks.

gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t >	deriv2Func (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &coefs) const
	Evaluates the second derivatives of the function described by coefs at points u. More...

virtual void	deriv2Func_into (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &coefs, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result) const
	Evaluates the second derivatives of the function described by coefs at points u. More...

virtual void	evalAllDersFunc_into (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &u, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &coefs, const unsigned n, std::vector< gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > > &result, bool sameElement=false) const
	Evaluates all derivatives up to order n of the function described by coefs at points u. More...

static void	linearCombination_into (const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &coefs, const gsMatrix< index_t > &actives, const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &values, gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &result, bool sameElement=false)
	Computes the linear combination coefs * values( actives ) More...

Member Function Documentation

gsMatrix<index_t> active ( const gsMatrix< T > & u ) const

inlineinherited

Returns the indices of active (nonzero) functions at points u, as a list of indices.

See Also: active_into()

void active_into	(	const gsMatrix< T > &	u,
		gsMatrix< index_t > &	result
	)		const

virtualinherited

Indices of active (non-zero) function(s) for each point.

The columns are sorted in increasing order, if on a point there are less active then the number of rows in the result matrix (some other point has more actives) then the rest of the column is filled with 0s.

Parameters

u
result

Reimplemented in gsHTensorBasis< d, T >, gsBasis< T >, gsBasis< Scalar >, gsBasis< real_t >, gsTensorBSplineBasis< 1, T >, gsTensorBSplineBasis< d, T >, gsTensorBSplineBasis< domainDim+1, T >, gsTensorBasis< d, T >, gsTensorBasis< 1, T >, gsTHBSplineBasis< d, T >, gsLagrangeBasis< T >, gsMappedSingleBasis< d, T >, gsFunction< T >, gsConstantBasis< T >, gsLegendreBasis< T >, gsMonomialBasis< T >, and gsMvLegendreBasis< T >.

virtual void active_into	(	const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	u,
		gsMatrix< index_t > &	result
	)		const

virtualinherited

Returns the indices of active basis functions at points u, as a list of indices, in result. A function is said to be active in a point if this point lies in the closure of the function's support.

Parameters

[in]	u	gsMatrix containing evaluation points. Each column represents one evaluation point.
[out]	result	For every column i of u, a column containing the indices of the active basis functions at evaluation point u.col(i).

virtual void activeCoefs_into	(	const gsVector< gsBSplineTraits< d, T >::Basis::Scalar_t > &	u,
		const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	coefs,
		gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	result
	)		const

virtualinherited

Returns the matrix result of active coefficients at points u, each row being one coefficient. The order of the rows is the same as active_into and eval_into functions.

Parameters

[in]	u	gsVector containing an evaluation point.
[in]	coefs	gsMatrix is a coefficient matrix with as many rows as the size of the basis
[out]	result	For every column i of u, a column containing the indices of the active basis functions at evaluation point u.col(i).

gsMatrix<gsBSplineTraits< d, T >::Basis::Scalar_t > anchors ( ) const

inlineinherited

Returns the anchor points that represent the members of the basis. There is exactly one anchor point per basis function.

The exact definition of the anchor points depends on the particular basis. For instance, for a Bspline basis these are the Greville abscissae. In general, evaluating a function at the anchor points should provide enough information to interpolate that function using this basis.

virtual void anchors_into ( gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > & result ) const

virtualinherited

Returns the anchor points that represent the members of the basis in result. There is exactly one anchor point per basis function.

The exact definition of the anchor points depends on the particular basis. For instance, for a Bspline basis these are the Greville abscissae. In general, evaluating a function at the anchor points should provide enough information to interpolate that function using this basis.

gsMatrix<index_t> boundaryOffset	(	boxSide const &	s,
		index_t	offset
	)		const

inlinevirtualinherited

Returns the indices of the basis functions that are nonzero at the domain boundary. If an offset is provided (the default is zero), it will return the indizes of the basis functions having this offset to the provided boxSide. Note that the offset cannot be bigger than the size of the basis in the direction orthogonal to boxSide.

Reimplemented from gsBasis< gsBSplineTraits< d, T >::Basis::Scalar_t >.

gsSparseMatrix<gsBSplineTraits< d, T >::Basis::Scalar_t > collocationMatrix ( gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > const & u ) const

inherited

Computes the collocation matrix w.r.t. points u.

The collocation matrix is a sparse matrix with u.cols rows and size() columns. The entry (i,j) is the value of basis function j at evaluation point i.

virtual uPtr componentBasis_withIndices	(	boxComponent	b,
		gsMatrix< index_t > &	indices,
		bool	noBoundary = `true`
	)		const

virtualinherited

Returns the basis that corresponds to the component.

Parameters

b	The component
indices	The row vector where the indices are stored to
noBoundary	If true, the transfer matrix does not include parts belonging to lower-order components (i.e., edges without corners or faces without corners and edges)

void compute	(	const gsMatrix< T > &	in,
		gsFuncData< T > &	out
	)		const

virtualinherited

Computes function data.

This function evaluates the functions and their derivatives at the points in and writes them in the corresponding fields of out. Which field to write (and what to compute) is controlled by the out.flags (see also gsFuncData).

The input points in are expected to be compatible with the implementation/representation of the function, i.e. they should be points inside the domain of definitition of the function

Parameters

[in]	in
[out]	out

Reimplemented in gsGeometry< T >, and gsConstantFunction< T >.

virtual void connectivity	(	const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	nodes,
		gsMesh< gsBSplineTraits< d, T >::Basis::Scalar_t > &	mesh
	)		const

virtualinherited

Returns the connectivity structure of the basis The returned mesh has vertices the rows of matrix nodes

virtual void connectivityAtAnchors ( gsMesh< gsBSplineTraits< d, T >::Basis::Scalar_t > & mesh ) const

virtualinherited

Returns the connectivity structure of the basis The returned mesh has the anchor points as vertices

gsMatrix< T > deriv ( const gsMatrix< T > & u ) const

inherited

Evaluate the derivatives,.

See Also: deriv_into()

gsMatrix< T > deriv2 ( const gsMatrix< T > & u ) const

inherited

Evaluates the second derivatives of active (i.e., non-zero) functions at points u.

See documentation for deriv2_into() (the one without input parameter coefs) for details.

See Also: deriv2_into()

Parameters

[in] u Evaluation points in columns.

Returns: For every column of u, a column containing the second derivatives. See documentation for deriv2_into() (the one without input parameter coefs) for details.

void deriv2_into	(	const gsMatrix< T > &	u,
		gsMatrix< T > &	result
	)		const

virtualinherited

Second derivatives.

For scalar valued functions \(f_1, \ldots, f_S\) from \(\mathbb{R}^n\rightarrow\mathbb{R}\) format is:

\[ \left[ \begin{array}{ccccc} \partial_{1}\partial_{1}f_1(p_1) & \partial_{1}\partial_{1}f_1(p_2) & \ldots & \partial_{1}\partial_{1}f_1(p_N)\\ \partial_{2}\partial_{2}f_1(p_1) & \partial_{2}\partial_{2}f_1(p_2) & \ldots & \partial_{2}\partial_{2}f_1(p_N)\\ \vdots & \vdots & & \vdots\\ \partial_{k}\partial_{k}f_1(p_1) & \partial_{k}\partial_{k}f_1(p_2) & \ldots & \partial_{k}\partial_{k}f_1(p_N)\\ \partial_{1}\partial_{2}f_1(p_1) & \partial_{1}\partial_{2}f_1(p_2) & \ldots & \partial_{1}\partial_{2}f_1(p_N)\\ \partial_{1}\partial_{3}f_1(p_1) & \partial_{1}\partial_{3}f_1(p_2) & \ldots & \partial_{1}\partial_{3}f_1(p_N)\\ \vdots & \vdots & & \vdots\\ \partial_{1}\partial_{k}f_1(p_1) & \partial_{1}\partial_{k}f_1(p_2) & \ldots & \partial_{1}\partial_{k}f_1(p_N)\\ \partial_{2}\partial_{3}f_1(p_1) & \partial_{2}\partial_{3}f_1(p_2) & \ldots & \partial_{2}\partial_{3}f_1(p_N)\\ \vdots & \vdots & & \vdots\\ \partial_{2}\partial_{k}f_1(p_1) & \partial_{2}\partial_{k}f_1(p_2) & \ldots & \partial_{2}\partial_{k}f_1(p_N)\\ \partial_{3}\partial_{4}f_1(p_1) & \partial_{3}\partial_{4}f_1(p_2) & \ldots & \partial_{3}\partial_{4}f_1(p_N)\\ \vdots & \vdots & & \vdots\\ \partial_{k-1}\partial_{k}f_1(p_1) & \partial_{k-1}\partial_{k}f_1(p_2) & \ldots & \partial_{k-1}\partial_{k}f_1(p_N)\\ \partial_{1}\partial_{1}f_2(p_1) & \partial_{1}\partial_{1}f_2(p_2) & \ldots & \partial_{1}\partial_{1}f_2(p_N)\\ \vdots & \vdots & & \vdots\\ \partial_{k-1}\partial_{k}f_S(p_1) & \partial_{k-1}\partial_{k}f_S(p_2) & \ldots & \partial_{k-1}\partial_{k}f_S(p_N)\\ \end{array} \right] \]

For vector valued functions function \(f_1, \ldots, f_S\) from \(\mathbb{R}^n\rightarrow\mathbb{R}^{m}\) the format is:

\[ \left[ \begin{array}{ccccc} \partial_{1}\partial_{1}f_1^{(1)}(p_1) & \partial_{1}\partial_{1}f_1^{(1)}(p_2) & \ldots & \partial_{1}\partial_{1}f_1^{(1)}(p_N)\\ \partial_{2}\partial_{2}f_1^{(1)}(p_1) & \partial_{2}\partial_{2}f_1^{(1)}(p_2) & \ldots & \partial_{2}\partial_{2}f_1^{(1)}(p_N)\\ \vdots & \vdots & & \vdots\\ \partial_{k}\partial_{k}f_1^{(1)}(p_1) & \partial_{k}\partial_{k}f_1^{(1)}(p_2) & \ldots & \partial_{k}\partial_{k}f_1^{(1)}(p_N)\\ \partial_{1}\partial_{2}f_1^{(1)}(p_1) & \partial_{1}\partial_{2}f_1^{(1)}(p_2) & \ldots & \partial_{1}\partial_{2}f_1^{(1)}(p_N)\\ \partial_{1}\partial_{3}f_1^{(1)}(p_1) & \partial_{1}\partial_{3}f_1^{(1)}(p_2) & \ldots & \partial_{1}\partial_{3}f_1^{(1)}(p_N)\\ \vdots & \vdots & & \vdots\\ \partial_{k-1}\partial_{k}f_1{(1)}(p_1) & \partial_{k-1}\partial_{k}f_1^{(1)}(p_2) & \ldots & \partial_{k-1}\partial_{k}f_1^{(1)}(p_N)\\ \partial_{1}\partial_{1}f_1^{(2)}(p_1) & \partial_{1}\partial_{1}f_1^{(2)}(p_2) & \ldots & \partial_{1}\partial_{1}f_1^{(2)}(p_N)\\ \vdots & \vdots & & \vdots\\ \partial_{k-1}\partial_{k}f_1^{(m)}(p_1) & \partial_{k-1}\partial_{k}f_1^{(m)}(p_2) & \ldots & \partial_{k-1}\partial_{k}f_1^{(m)}(p_N)\\ \vdots & \vdots & & \vdots\\ \partial_{k-1}\partial_{k}f_S^{(m)}(p_1) & \partial_{k-1}\partial_{k}f_S^{(m)}(p_2) & \ldots & \partial_{k-1}\partial_{k}f_S^{(m)}(p_N)\\ \end{array} \right] \]

where \( f^{(i)}_j\) is the \(i\)-th component of function \( f_j\) of the set.

Parameters

u
result

Reimplemented in gsBasis< T >, gsBasis< Scalar >, gsBasis< real_t >, gsTensorBSplineBasis< 1, T >, gsTensorBasis< d, T >, gsTensorBasis< 1, T >, gsGeometry< T >, gsFunctionExpr< T >, gsFunction< T >, gsLagrangeBasis< T >, gsMappedSingleBasis< d, T >, gsConstantFunction< T >, gsTHBSplineBasis< d, T >, gsPreCICEFunction< T >, gsLegendreBasis< T >, gsAffineFunction< T >, gsHBSplineBasis< d, T >, gsMappedSingleSpline< d, T >, gsMonomialBasis< T >, gsMvLegendreBasis< T >, gsGeometryTransform< T >, and gsFuncCoordinate< T >.

virtual void deriv2_into	(	const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	u,
		gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	result
	)		const

virtualinherited

Evaluate the second derivatives of all active basis function at points u.

Input parameter u is a gsMatrix of size d x N, where
d is the dimension of the parameter domain and
N is the number of evaluation points.
Each column of u corresponds to the coordinates of one evaluation point.

result is a gsMatrix of size (K * d) x N, where
K is the number of active basis functions at the evaluation point.
Each column of result corresponds to a column of u. It contains the "pure" and the mixed derivatives for each active basis function, "above" each other.

Example (bivariate): Let \(B_i(x,y)\), d = 2 be bivariate basis functions, and let the functions with indices 3,4,7, and 8 (K = 4) be active at an evaluation point u. Then, the corresponding column of result represents:
\( ( \partial_{xx}\, B_3(u), \partial_{yy}\, B_3(u), \partial_{xy}\, B_3(u), \partial_{xx}\, B_4(u), \partial_{yy}\, B_4(u), \partial_{xy}\, B_4(u), \partial_{xx}\, B_7(u), ... , \partial_{xy}\, B_8(u) )^T \)

Example (trivariate): Let \(B_i(x,y,z)\), d = 3 be trivariate basis functions, and let the functions with indices 3,4,7, and 8 be active at an evaluation point u. Then, the corresponding column of result represents:
\(( \partial_{xx}\, B_3(u), \partial_{yy}\, B_3(u), \partial_{zz}\, B_3(u), \partial_{xy}\, B_3(u), \partial_{xz}\, B_3(u), \partial_{yz}\, B_3(u), \partial_{xx}\, B_4(u), ... , \partial_{yz}\, B_8(u) )^T \)

Parameters

[in]	u	Evaluation points in columns (see above for format).
[in,out]	result	For every column of u, a column containing the second derivatives as described above.

See also deriv2() (the one without input parameter coefs).

gsMatrix<gsBSplineTraits< d, T >::Basis::Scalar_t > deriv2Func	(	const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	u,
		const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	coefs
	)		const

inlineinherited

Evaluates the second derivatives of the function described by coefs at points u.

See documentation for deriv2_into() (the one with input parameter coefs) for details.

Parameters

[in]	u	Evaluation points in columns.
[in]	coefs	Coefficient matrix describing the geometry in this basis.

Returns: For every column of u, a column containing the second derivatives. See documentation for deriv2_into() (the one with input parameter coefs) for details.

virtual void deriv2Func_into	(	const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	u,
		const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	coefs,
		gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	result
	)		const

virtualinherited

Evaluates the second derivatives of the function described by coefs at points u.

...i.e., evaluates a linear combination of coefs * (2nd derivatives of basis functions), into result.

Evaluation points u are given as gsMatrix of size d x N, where
d is the dimension of the parameter domain and
N is the number of evaluation points.
Each column of u corresponds to the coordinates of one evaluation point.

The coefficients coefs are given as gsMatrix of size N x n, where
N is the number of points = number of basis functions and
n is the dimension of the physical domain.
Each row of coefs corresponds to the coordinates of one control point.

Let the function \( f: \mathbb R^3 \to \mathbb R^3\) be given by

\[ f = ( f_1, f_2, f_3)^T = \sum_{i=1}^N c_i B_i(x,y,z), \]

where \( B_i(x,y,z)\) are scalar basis functions and \(c_i\) are the corresponding (m-dimensional) control points. Then, for each column in u, the corresponding column in result represents

\[ ( \partial_{xx}\ f_1, \partial_{yy}\ f_1, \partial_{zz}\ f_1, \partial_{xy}\ f_1, \partial_{xz}\ f_1, \partial_{yz}\ f_1, \partial_{xx}\ f_2, \partial_{yy}\ f_2, \ldots , \partial_{xz}\ f_3, \partial_{yz}\ f_3)^T. \]

at the respective evaluation point.

Parameters

[in]	u	Evaluation points in columns (see above for format).
[in]	coefs	Coefficient matrix describing the geometry in this basis.
[out]	result	For every column of u, a column containing the second derivatives at the respective point in the format described above.

This function has a default implementation that may be overridden in derived classes for higher performance.
See also deriv2() (the one with input parameter coefs).

void deriv_into	(	const gsMatrix< T > &	u,
		gsMatrix< T > &	result
	)		const

virtualinherited

First derivatives.

For scalar valued functions \(f_1, \ldots, f_S\) from \(\mathbb{R}^n\rightarrow\mathbb{R}\) format is:

\[ \left[ \begin{array}{ccccc} \partial_{1}f_1(p_1) & \partial_{1}f_1(p_2) & \ldots & \partial_{1}f_1(p_N)\\ \partial_{2}f_1(p_1) & \partial_{2}f_1(p_2) & \ldots & \partial_{2}f_1(p_N)\\ \vdots & \vdots & & \vdots\\ \partial_{k}f_1(p_1) & \partial_{k}f_1(p_2) & \ldots & \partial_{k}f_1(p_N)\\ \partial_{1}f_2(p_1) & \partial_{1}f_2(p_2) & \ldots & \partial_{1}f_2(p_N)\\ \vdots & \vdots & & \vdots\\ \partial_{k}f_S(p_1) & \partial_{k}f_S(p_2) & \ldots & \partial_{k}f_S(p_N)\\ \end{array} \right] \]

For vector valued functions function \(f_1, \ldots, f_S\) from \(\mathbb{R}^n\rightarrow\mathbb{R}^{m}\) the format is:

\[ \left[ \begin{array}{ccccc} \partial_{1}f_1^1(p_1) & \partial_{1}f_1^1(p_2) & \ldots & \partial_{1}f_1^1(p_N)\\ \partial_{2}f_1^1(p_1) & \partial_{1}f_2^1(p_2) & \ldots & \partial_{1}f_2^1(p_N)\\ \vdots & \vdots & & \vdots\\ \partial_{k}f_1^1(p_1) & \partial_{k}f_1^1(p_2) & \ldots & \partial_{k}f_1^1(p_N)\\ \partial_{1}f_1^2(p_1) & \partial_{1}f_1^2(p_2) & \ldots & \partial_{1}f_1^2(p_N)\\ \vdots & \vdots & & \vdots\\ \partial_{k}f_1^2(p_1) & \partial_{k}f_1^2(p_2) & \ldots & \partial_{k}f_1^2(p_N)\\ \partial_{1}f_2^1(p_1) & \partial_{1}f_2^1(p_2) & \ldots & \partial_{1}f_2^1(p_N)\\ \vdots & \vdots & & \vdots\\ \partial_{k}f_S^{(m)}(p_1) & \partial_{k}f_S^{(m)}(p_2) & \ldots & \partial_{k}f_S^{(m)}(p_N) \end{array} \right] \]

where \(f^{(i)}_j\) is the \(i\)-th component of function \(f_j\) of the set.

Parameters

u
result

Reimplemented in gsBasis< T >, gsBasis< Scalar >, gsBasis< real_t >, gsTensorBasis< d, T >, gsTensorBasis< 1, T >, gsTensorBSplineBasis< 1, T >, gsGeometry< T >, gsFunctionExpr< T >, gsLagrangeBasis< T >, gsMappedSingleBasis< d, T >, gsFunction< T >, gsConstantFunction< T >, gsTHBSplineBasis< d, T >, gsPreCICEFunction< T >, gsAffineFunction< T >, gsHBSplineBasis< d, T >, gsLegendreBasis< T >, gsMappedSingleSpline< d, T >, gsMvLegendreBasis< T >, gsMonomialBasis< T >, gsConstantBasis< T >, gsGeometrySlice< T >, gsSquaredDistance< T >, gsBasisFun< T >, gsGeometryTransform< T >, and gsFuncCoordinate< T >.

virtual void deriv_into	(	const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	u,
		gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	result
	)		const

virtualinherited

Evaluates the first partial derivatives of the nonzero basis function.

Let
d denote the dimension of the parameter domain.
K denote the number of active (i.e., non-zero) basis functions (see active_into()).
N denote the number of evaluation points.
The N evaluation points u are given in a gsMatrix of size d x N. Each column of u represents one evaluation point.

The gsMatrix result contains the computed derivatives in the following form:
Column j of result corresponds to one evaluation point (specified by the j-th column of u). The column contains the gradients of all active functions "above" each other.
For example, for scalar basis functions \(B_i : (x,y,z)-> R\), a column represents
\((dx B_1, dy B_1, dz B_1, dx B_2, dy B_2, dz B_2, ... , dx B_n, dy B_N, dz B_N)^T\),
where the order the basis functions \(B_i\) is as returned by active() and active_into().

Parameters

[in]	u	Evaluation points given as gsMatrix of size d x N. See above for details.
[in,out]	result	gsMatrix of size (Kd)* x N. See above for details.

Todo:: Rename to _ grad_into

gsMatrix<gsBSplineTraits< d, T >::Basis::Scalar_t > derivFunc	(	const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	u,
		const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	coefs
	)		const

inlineinherited

Evaluate the derivatives of the function described by coefs at points u.

Parameters

u	evaluation points as N column vectors
coefs	coefficient matrix describing the geometry in this basis, n columns

Returns: For every column of u, the result matrix will contain one Jacobian matrix of size d * n, such that the total size of the result is n x (d * n) x N

virtual void derivFunc_into	(	const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	u,
		const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	coefs,
		gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	result
	)		const

virtualinherited

Evaluate the derivatives of the function described by coefs at points u.

Evaluates a linear combination of coefs*BasisFunctionDerivatives, into result.

This function has a default implementation that may be overridden in derived classes for higher performance.

Let the function \(f: \mathbb R^d \to \mathbb R^m \) be described by the coefficients coefs, i.e.,
each evaluation point is in \(\mathbb R^d\), and
each coefficient is a point in \(\mathbb R^m\).

The N evaluation points u are given in a gsMatrix of size d x N. Each column of u represents one evaluation point.

The K coefficients coefs are given as a gsMatrix of size K x m. Each row of coefs represents one coefficient in \(\mathbb R^m\).

The gsMatrix result contains the following data:
For every column of u, the corresponding column in the matrix result contains the gradients of the m components of the function above each other. Hence, the size of result is (d*m) x N.

Example 1:
Let \(f(s,t)\) be a bivariate scalar function, \(f:\mathbb R^2 \to \mathbb R\) (i.e., d=2, m=1), and let the evaluation point \( u_i\) be represented by the i-th column of u.
Then, result has the form

\[ \left( \begin{array}{cccc} \partial_s f(u_1) & \partial_s f(u_2) & \ldots & \partial_t f(u_{N}) \\ \partial_t f(u_1) & \partial_t f(u_2) & \ldots & \partial_t f(u_{N}) \end{array} \right) \]

Example 2:
Let \(f(s,t) = ( f_1(s,t), f_2(s,t), f_3(s,t) )\) represent a surface in space, \(f:\mathbb R^2 \to \mathbb R^3\) (i.e., d=2, m=3), and let the evaluation point \( u_i\) be represented by the i-th column of u.
Then, result has the form

\[ \left( \begin{array}{ccccccc} \partial_s f_1(u_1) & \partial_s f_1(u_2) & \ldots & \partial_s f_1(u_N) \\ \partial_t f_1(u_1) & \partial_t f_1(u_2) & \ldots & \partial_t f_1(u_N) \\ \partial_s f_2(u_1) & \partial_s f_2(u_2) & \ldots & \partial_s f_2(u_N) \\ \partial_t f_2(u_1) & \partial_t f_2(u_2) & \ldots & \partial_t f_2(u_N) \\ \partial_s f_3(u_1) & \partial_s f_3(u_2) & \ldots & \partial_s f_3(u_N) \\ \partial_t f_3(u_1) & \partial_t f_3(u_2) & \ldots & \partial_t f_3(u_N) \\ \end{array} \right) \]

Parameters

[in]	u	Evaluation points as d x N-matrix.
[in]	coefs	Coefficient matrix describing the geometry in this basis as K x m-matrix. K should equal the size() of the basis, i.e., the number basis functions.
[in,out]	result	gsMatrix of size dm* x N, see above for format.

where
d is the dimension of the parameter domain
m is the dimension of the physical domain
N is the number of evaluation points
K is the number of coefficients

virtual void derivSingle_into	(	index_t	i,
		const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	u,
		gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	result
	)		const

virtualinherited

Evaluates the (partial) derivatives of the i-th basis function at points u into result.

See deriv_into() for detailed documentation.

Todo:: rename grad_into

gsDomain<T>* domain ( ) const

inlinevirtualinherited

Return the gsDomain which represents the parameter domain of this basis. Currently unused.

Reimplemented from gsBasis< gsBSplineTraits< d, T >::Basis::Scalar_t >.

short_t domainDim ( ) const

inlinevirtualinherited

Dimension of the (source) domain.

Returns: For \(f:\mathbb{R}^n\rightarrow\mathbb{R}^m\), returns \(n\).

Implements gsFunctionSet< T >.

gsMatrix< T > eval ( const gsMatrix< T > & u ) const

inherited

Evaluate the function,.

See Also: eval_into()

void eval_into	(	const gsMatrix< T > &	u,
		gsMatrix< T > &	result
	)		const

virtualinherited

Evaluates the function(s).

For scalar valued functions \(f_1, \ldots, f_S\) from \(\mathbb{R}^n\rightarrow\mathbb{R}\) format is:

\[ \left[ \begin{array}{ccccc} f_1(p_1) & f_1(p_2) & \ldots & f_1(p_N)\\ f_2(p_1) & f_2(p_2) & \ldots & f_2(p_N)\\ \vdots & \vdots & & \vdots\\ f_S(p_1) & f_S(p_2) & \ldots & f_S(p_N) \end{array} \right] \]

For vector valued functions function \(f_1, \ldots, f_S\) from \(\mathbb{R}^n\rightarrow\mathbb{R}^m\) the format is:

\[ \left[ \begin{array}{ccccc} f_1^1(p_1) & f_1^{(1)}(p_2) & \ldots & f_1^{(1)}(p_N)\\ f_1^2(p_1) & f_1^{(2)}(p_2) & \ldots & f_1^{(2)}(p_N)\\ \vdots & \vdots & & \vdots\\ f_1^{(m)}(p_1) & f_1^{(m)}(p_2) & \ldots & f_1^{(m)}(p_N)\\ f_2^{(1)}(p_1) & f_2^{(1)}(p_2) & \ldots & f_2^{(1)}(p_N)\\ \vdots & \vdots & & \vdots\\ f_S^{(m)}(p_1) & f_S^{(m)}(p_2) & \ldots & f_S^{(m)}(p_N) \end{array} \right] \]

where \(f^{(i)}_j\) is the \(i\)-th component of function \(f_j\) of the set.

Parameters

u
result

Reimplemented in gsBasis< T >, gsBasis< Scalar >, gsBasis< real_t >, gsTHBSplineBasis< d, T >, gsPatchIdField< T >, gsMaterialMatrixEvalSingle< T, out >, gsParamField< T >, gsTensorBSplineBasis< 1, T >, gsTensorBasis< d, T >, gsTensorBasis< 1, T >, gsShellStressFunction< T >, gsMaterialMatrixIntegrateSingle< T, out >, gsNormalField< T >, gsFsiLoad< T >, gsFunctionExpr< T >, gsGeometry< T >, gsLagrangeBasis< T >, gsMappedSingleBasis< d, T >, gsPiecewiseFunction< T >, gsConstantFunction< T >, gsJacDetField< T >, gsDetFunction< T >, gsRemapInterface< T >, gsFunction< T >, gsGradientField< T >, gsCPPInterface< T >, gsHBSplineBasis< d, T >, gsAffineFunction< T >, gsPreCICEFunction< T >, gsLegendreBasis< T >, gsMvLegendreBasis< T >, gsMappedSingleSpline< d, T >, gsConstantBasis< T >, gsMonomialBasis< T >, gsCauchyStressFunction< T >, gsBasisFun< T >, gsGeometrySlice< T >, gsGeometryTransform< T >, gsFuncCoordinate< T >, gsAbsError< T >, gsElementErrorPlotter< T >, and gsSquaredDistance< T >.

virtual void eval_into	(	const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	u,
		gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	result
	)		const

virtualinherited

Evaluates nonzero basis functions at point u into result.

Let...
d denote the dimension of the parameter domain.
K denote the number of active (i.e., non-zero) basis functions (see active_into()). N denote the number of evaluation points.
The n evaluation points u are given in a gsMatrix of size d x N. Each column of u represents one evaluation point.

The gsMatrix result contains the computed function values in the following form:
Column j of result corresponds to one evaluation point (specified by the j-th column of u). The column contains the values of all active functions "above" each other.
For example, for scalar basis functions Bi : (x,y,z)-> R, a column represents
(B1, B2, ... , BN)^T,
where the order the basis functions Bi is as returned by active() and active_into().

Parameters

[in]	u	Evaluation points given as gsMatrix of size d x N. See above for details.
[in,out]	result	gsMatrix of size K x N. See above for details.

std::vector< gsMatrix< T > > evalAllDers	(	const gsMatrix< T > &	u,
		int	n,
		bool	sameElement = `false`
	)		const

inherited

Evaluate all derivatives upto order n,.

See Also: evalAllDers_into

void evalAllDers_into	(	const gsMatrix< T > &	u,
		int	n,
		std::vector< gsMatrix< T > > &	result,
		bool	sameElement = `false`
	)		const

virtualinherited

Evaluate the nonzero functions and their derivatives up to order n at points u into result.

The derivatives (the 0-th derivative is the function value) are stored in a result. result is a std::vector, where result[i] is a gsMatrix which contains the i-th derivatives.

The entries in result[0], result[1], and result[2] are ordered as in eval_into(), deriv_into(), and deriv2_into(), respectively. For i > 2, the derivatives are stored in lexicographical order, e.g. for order i = 3 and dimension 2 the derivatives are stored as follows: \( \partial_{xxx}, \, \partial_{xxy}, \, \partial_{xyy}, \, \partial_{yyy}.\, \)

Parameters

[in]	u	Evaluation points, each column corresponds to one evaluation point.
[in]	n	All derivatives up to order n are computed and stored in result.
[in,out]	result	See above for format.

Reimplemented in gsTensorBSplineBasis< 1, T >, gsTensorBasis< d, T >, gsTensorBasis< 1, T >, gsGeometry< T >, gsMappedSingleBasis< d, T >, gsConstantFunction< T >, gsTHBSplineBasis< d, T >, gsMappedSingleSpline< d, T >, and gsSquaredDistance< T >.

virtual void evalAllDersFunc_into	(	const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	u,
		const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	coefs,
		const unsigned	n,
		std::vector< gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > > &	result,
		bool	sameElement = `false`
	)		const

virtualinherited

Evaluates all derivatives up to order n of the function described by coefs at points u.

Evaluation points u are given as gsMatrix of size d x N, where
d is the dimension of the parameter domain and
N is the number of evaluation points.
Each column of u corresponds to the coordinates of one evaluation point.

The coefficients coefs are given as gsMatrix of size K x n, where
K is the number of (active) basis functions (=size()) and
n is the dimension of the physical domain.
Each row of coefs corresponds to the coordinates of one control point.

result is a std::vector, where the entry result[i] contains the gsMatrix corresponding to the i-th derivatives. The format of the respective entry is as in
evalFunc_into()
derivFunc_into()
deriv2Func_into()

Todo:: finish documentation

Parameters

[in]	u
[in]	coefs
[in]	n
[out]	result

gsMatrix<gsBSplineTraits< d, T >::Basis::Scalar_t > evalFunc	(	const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	u,
		const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	coefs
	)		const

inlineinherited

Evaluate the function described by coefs at points u.

This function has a default implementation that may be overridden in derived classes for higher performance.

Parameters

u	evaluation points as m column vectors
coefs	coefficient matrix describing the geometry in this basis, n columns

Returns: a matrix of size n x m with one function value as a column vector per evaluation point

virtual void evalFunc_into	(	const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	u,
		const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	coefs,
		gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	result
	)		const

virtualinherited

Evaluate the function described by coefs at points u, i.e., evaluates a linear combination of coefs x BasisFunctions, into result.

This function has a default implementation that may be overridden in derived classes for higher performance.

Parameters

	u	evaluation points as N column vectors
	coefs	coefficient matrix describing the geometry in this basis, n columns
[out]	result	a matrix of size n x N with one function value as a column vector per evaluation point

gsBasisFun<gsBSplineTraits< d, T >::Basis::Scalar_t > function ( index_t i ) const

inherited

Returns the i-th basis function as a gsFunction.

Note that the gsBasisFun object only holds a reference to the current basis, so it is invalidated when the basis is destroyed.

static void linearCombination_into	(	const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	coefs,
		const gsMatrix< index_t > &	actives,
		const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	values,
		gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	result,
		bool	sameElement = `false`
	)

staticinherited

Computes the linear combination coefs * values( actives )

Todo:: documentation

Parameters

[in]	coefs	gsMatrix of size K x m, where K should equal size() of the basis (i.e., the number of basis functions).
[in]	actives	gsMatrix of size numAct x numPts
[in]	values	gsMatrix of size stridenumAct* x numPts
[out]	result	gsMatrix of size stride x numPts

memory::unique_ptr<gsBasis<T> > makeNonRational ( ) const

inlinevirtualinherited

Clone the source of this basis in case of rational basis, same as clone() otherwise

Reimplemented from gsBasis< gsBSplineTraits< d, T >::Basis::Scalar_t >.

virtual void matchWith	(	const boundaryInterface &	bi,
		const gsBasis< gsBSplineTraits< d, T >::Basis::Scalar_t > &	other,
		gsMatrix< index_t > &	bndThis,
		gsMatrix< index_t > &	bndOther,
		index_t	offset = `0`
	)		const

virtualinherited

Computes the indices of DoFs that match on the interface bi. The interface is assumed to be a common face between this patch and other, with an offset offset. The output is two lists of indices bndThis and bndOther, with indices that match one-to-one on the boundary bi.

NOTE: bndThis will have offset but bndOther will NOT have an offset (hence offset 0)

gsVector<index_t> numActive ( const gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > & u ) const

inlineinherited

Number of active basis functions at an arbitrary parameter value.

Usually, this is used for getting the active functions on one element, assuming that this number doesn't change for different parameters inside the element.

gsMatrix<T> projectiveCoefs ( const gsMatrix< T > & coefs ) const

inlineinherited

Returns a matrix of projective coefficients. The input coefs are affine coefficients for this basis

static gsMatrix<T> projectiveCoefs	(	const gsMatrix< T > &	coefs,
		const gsMatrix< T > &	weights
	)

inlinestaticinherited

Returns a matrix of projective coefficients. The input coefs are affine coefficients and weights

virtual void refine	(	gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > const &	boxes,
		int	refExt = `0`
	)

virtualinherited

Refine the basis on the area defined by the matrix boxes.

boxes is a d x n-matrix (n even), where d is the dimension of the parameter domain.
n must be even, and every 2 successive columns in the matrix define a box in the parameter domain (the first column represents the coordinates of the lower corner, the second column the coordinates of the upper corner).

Example: The input of the matrix

\[ \left[\begin{array}{cccc} 0 & 0.2 & 0.8 & 1 \\ 0.4 & 0.6 & 0.2 & 0.4 \end{array} \right] \]

results in refinement of the two boxes \([0,0.2]\times[0.4,0.6]\) and \([0.8,1]\times[0.2,0.4]\).

Parameters

[in]	boxes	gsMatrix of size d x n, see above for description of size and meaning.
[in]	refExt	Extension to be applied to the refinement boxes

void refineElements ( std::vector< index_t > const & boxes )

inlinevirtualinherited

Refines specified areas or boxes, depending on underlying basis.

Parameters

boxes See the function gsBasis::refineElements() of the underlying basis for syntax.

Reimplemented from gsBasis< gsBSplineTraits< d, T >::Basis::Scalar_t >.

void refineElements_withCoefs	(	gsMatrix< T > &	coefs,
		std::vector< index_t > const &	boxes
	)

inherited

Refines specified areas or boxes, depending on underlying basis.

Parameters

coefs	Coefficients, given as gsMatrix of size \( n \times d\), where \(n\) is the number of basis functions and \(d\) is the target dimension.
boxes	See the function gsBasis::refineElements() of the underlying basis for syntax.

virtual void refineElements_withCoefs	(	gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	coefs,
		std::vector< index_t > const &	boxes
	)

virtualinherited

Refine basis and geometry coefficients to levels.

Refines the basis as well as the coefficients. The refinement and the format of the input depend on the implementation of refineElements().

static void setFromProjectiveCoefs	(	const gsMatrix< T > &	pr_coefs,
		gsMatrix< T > &	coefs,
		gsMatrix< T > &	weights
	)

inlinestaticinherited

Sets the weights and the coefs to be the affine coefficients corresponding to the projective coefficients pr_coefs

index_t size ( ) const

inlinevirtualinherited

size

Warning: gsFunction and gsGeometry have size() == 1. This should not be confused with the size eg. of gsGeometry::basis(), which is the number of basis functions in the basis

Returns: the size of the function set: the total number of functions

Reimplemented from gsFunctionSet< T >.

gsBSplineTraits< d, T >::Basis & source ( )

inlinevirtualinherited

Applicable for rational bases: returns the underlying "source" (non-rational) basis

Reimplemented from gsBasis< gsBSplineTraits< d, T >::Basis::Scalar_t >.

gsMatrix<T> support ( ) const

inlinevirtualinherited

Returns (a bounding box for) the domain of the whole basis.

Returns a dx2 matrix, containing the two diagonally extreme corners of a hypercube.

Reimplemented from gsBasis< gsBSplineTraits< d, T >::Basis::Scalar_t >.

gsMatrix<T> support ( const index_t & i ) const

inlinevirtualinherited

Returns (a bounding box for) the support of the i-th basis function.

Returns a dx2 matrix, containing the two diagonally extreme corners of a hypercube.

Reimplemented from gsBasis< gsBSplineTraits< d, T >::Basis::Scalar_t >.

gsMatrix<gsBSplineTraits< d, T >::Basis::Scalar_t > supportInterval ( index_t dir ) const

inherited

Returns an interval that contains the parameter values in direction dir.

Returns a 1x2 matrix, containing the two endpoints of the interval.

virtual short_t targetDim ( ) const

inlinevirtualinherited

Dimension of the target space.

Returns: For \(f:\mathbb{R}^n\rightarrow\mathbb{R}^m\), returns \(m\).

Reimplemented in gsPatchIdField< T >, gsGeometry< T >, gsParamField< T >, gsNormalField< T >, gsMultiBasis< T >, gsMultiBasis< real_t >, gsMultiPatch< T >, gsMultiPatch< real_t >, gsFsiLoad< T >, gsMaterialMatrixEvalSingle< T, out >, gsMaterialMatrixIntegrateSingle< T, out >, gsFunctionExpr< T >, gsJacDetField< T >, gsDetFunction< T >, gsConstantFunction< T >, gsShellStressFunction< T >, gsGradientField< T >, gsPiecewiseFunction< T >, gsSquaredDistance< T >, gsAffineFunction< T >, gsPreCICEFunction< T >, gsMappedSingleSpline< d, T >, gsBasisFun< T >, gsAbsError< T >, gsGeometrySlice< T >, gsGeometryTransform< T >, gsFuncCoordinate< T >, and gsCauchyStressFunction< T >.

virtual void uniformCoarsen ( int numKnots = 1 )

virtualinherited

Coarsen the basis uniformly by removing groups of numKnots consecutive knots, each knot removed mul times.

This function is the oposite of gsBasis::uniformRefine

The execution of

basis->uniformRefine (nKnots, mul)

basis->uniformCoarsen(nKnots);

results in no overall change in "basis". However,

basis->uniformCoarsen(nKnots);

basis->uniformRefine (nKnots, mul)

is not guaranteed to keep "basis" unchanged.

See Also: gsBasis::uniformRefine

virtual void uniformCoarsen_withCoefs	(	gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	coefs,
		int	numKnots = `1`
	)

virtualinherited

Coarsen the basis uniformly.

The function simultainously updates the vector coefs, representing a function in the bases, such that its new version represents the same function.

This function is equivalent to

gsSparseMatrix<T,RowMajor> transfer;
basis->uniformCoarsen_withTransfer(transfer, numKnots);
coefs = transfer * coefs;

See Also: gsBasis::uniformRefine

virtual void uniformCoarsen_withTransfer	(	gsSparseMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t , RowMajor > &	transfer,
		int	numKnots = `1`
	)

virtualinherited

Coarsen the basis uniformly and produce a sparse matrix which maps coarse coefficient vectors to refined ones.

The function writes a sparse matrix into the variable transfer that indicates how the functions on the coarse grid are represented as linear combinations as fine grid functions

See Also: gsBasis::uniformCoarsen

virtual void uniformRefine_withCoefs	(	gsMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t > &	coefs,
		int	numKnots = `1`,
		int	mul = `1`,
		int	dir = `-1`
	)

virtualinherited

Refine the basis uniformly.

The function simultainously updates the vector coefs, representing a function in the bases, such that its new version represents the same function.

This function is equivalent to

gsSparseMatrix<T,RowMajor> transfer;
basis->uniformRefine_withTransfer(transfer, numKnots, mul);
coefs = transfer * coefs;

See Also: gsBasis::uniformRefine

virtual void uniformRefine_withTransfer	(	gsSparseMatrix< gsBSplineTraits< d, T >::Basis::Scalar_t , RowMajor > &	transfer,
		int	numKnots = `1`,
		int	mul = `1`
	)

virtualinherited

Refine the basis uniformly.

The function writes a sparse matrix into the variable transfer that indicates how the functions on the coarse grid are represented as linear combinations as fine grid functions

See Also: gsBasis::uniformRefine

Detailed Description

template<short_t d, class T> class gismo::gsTensorNurbsBasis< d, T >

Public Types

Public Member Functions

Static Public Member Functions

Geometry evaluation functions

Member Function Documentation

template<short_t d, class T>
class gismo::gsTensorNurbsBasis< d, T >