Nicolai map; Compute Vector for NR method. More...

#include <field_nicolai.hpp>

Inheritance diagram for Nicolai:

Public Member Functions
	Nicolai ()
	Constructor of Nicolai.

	Nicolai (const int n1, const int n2, const int n3)
	Set Li, num_f, in; Configuration is generated by random device with deviation Li/SQRT2.

virtual	~Nicolai ()
	Destructor of Nicolai.

virtual bool	operator== (const Nicolai &f)
	Is identical (Li, num_f) ?

virtual bool	operator!= (const Nicolai &f)
	Not identical (Li, num_f) ?

VectorXd	nr_nvec () const
	Compute Vector for NR method (Real type)

VectorXcd	nrerr_nvec () const
	Compute Vector for NR error estimate (complex type)

void	nic_output (const VectorXi k, const VectorXd lambda, const int num_nrsol, const VectorXi signs, const int dmp, const double max_err, const SuperPotentialType spt) const
	Output to file.

void	show () const
	Output Li, in, field.

Public Member Functions inherited from Field
	Field ()
	Constructor of Field.

	Field (const int n1, const int n2)
	Set Li=n1 and num_f=n2.

	Field (const int n1, const int n2, const Distribution n3, const double mean=0.0, const double dev=1.0)
	Set Li, num_f, and field.

	Field (const int n1, const int n2, const int n3, const Distribution n4, const double mean=0.0, const double dev=1.0)
	Set Li, num_f, and field; n3 is.

	Field (const VectorXcd &v, const int num_field=1)
	Set Li, num_f, and field from VectorXcd.

	Field (const VectorXd &v, const int num_field)
	Set Li and field from VectorXd; num_f!=field.cols()

	Field (const MatrixXcd &m)
	Set Li, num_f, and field from MatrixXcd.

	Field (const MatrixXcd &m, const int num_field)
	Set Li and field from MatrixXcd, but num_f=num_field

virtual	~Field ()
	Destructor of Field.

MatrixXcd	conf () const

VectorXcd	conf (const int n) const

VectorXd	conf_real (const int n) const

VectorXd	conf_imag (const int n) const

virtual bool	operator== (const Field &f)
	Is identical (Li, num_f) ?

virtual bool	operator!= (const Field &f)
	Not identical (Li, num_f) ?

virtual Field &	operator*= (const double n)
	Multiply by a real number n.

virtual Field &	operator/= (const double n)
	Devide by a real number n.

Field	conv (const int n1, const int n2) const
	Convolution field(:,n1)field(:,n2)*

Field	conjconv (const int n) const
	Convolution field(:,n)conf(field(:,n))*

Field	conv_pw (const int pw, const int n=0) const
	Convolution field(:,n)field(:,n)...field(:,n)*

Field	combine_with (const Field &f)
	Combine with another Field object; Mutate field (Li and num_f are unchaged) except for the case that field is empty.

Protected Attributes
int	in
	ID number for the Nicolai map.

Protected Attributes inherited from Field
int	Li
	Physical box size, N_0=N_1.

int	num_f
	Number of superfields.

MatrixXcd	field
	Superfields.

Additional Inherited Members
Static Public Member Functions inherited from Field
static Field	Zero (const int n1, const int n2)

static Field	Zero (const int n1, const int n2, const int n3)

static Field	Gauss (const int n1, const int n2, const double mean=0.0, const double dev=1.0)

static Field	Gauss (const int n1, const int n2, const int n3, const double mean=0.0, const double dev=1.0)

static Field	GaussL (const int n1, const int n2, const double mean=0.0)

static Field	GaussL (const int n1, const int n2, const int n3, const double mean=0.0)

static Field	GaussMT (const int n1, const int n2, const double mean=0.0, const double dev=1.0)

static Field	GaussMT (const int n1, const int n2, const int n3, const double mean=0.0, const double dev=1.0)

static Field	GaussMTL (const int n1, const int n2, const double mean=0.0)

static Field	GaussMTL (const int n1, const int n2, const int n3, const double mean=0.0)

static Field	Vector (const VectorXcd &v, const int num_field=1)

static Field	Matrix (const MatrixXcd &m)

static Field	Matrix (const MatrixXcd &m, const int num_field)

Protected Member Functions inherited from Field
void	setgauss (const int num_col, const double mean=0.0, const double dev=1.0)

void	setgaussl (const int num_col, const double mean=0.0)

void	setgaussmt (const int num_col, const double mean=0.0, const double dev=1.0)

void	setgaussmtl (const int num_col, const double mean=0.0)

void	setconf (const int num_col, const Distribution n, const double mean=0.0, const double dev=1.0)

void	setconf (const VectorXcd &v, const int num_field=1)

void	setconf (const VectorXd &v, const int num_field)

void	setconf (const MatrixXcd &m)

void	setconf (const MatrixXcd &m, const int num_field)

MatrixXcd	vector2matrix (const int n) const

MatrixXcd	field2matrix (const int n) const

MatrixXcd	dfield2matrix (const int n) const

Detailed Description

Nicolai map; Compute Vector for NR method.

See also: Field; NicolaiSol

Definition at line 68 of file field_nicolai.hpp.

Constructor & Destructor Documentation

◆ Nicolai() [1/2]

Nicolai::Nicolai ( )

inlineexplicit

Constructor of Nicolai.

Definition at line 76 of file field_nicolai.hpp.

◆ Nicolai() [2/2]

Nicolai::Nicolai	(	const int	n1,
		const int	n2,
		const int	n3 )

inlineexplicit

Set Li, num_f, in; Configuration is generated by random device with deviation Li/SQRT2.

Parameters

n1	Set Li
n2	Set num_f
n3	Set in

Definition at line 86 of file field_nicolai.hpp.

◆ ~Nicolai()

Nicolai::~Nicolai ( )

inlinevirtual

Destructor of Nicolai.

Definition at line 90 of file field_nicolai.hpp.

Member Function Documentation

◆ nic_output()

void Nicolai::nic_output	(	const VectorXi	k,
		const VectorXd	lambda,
		const int	num_nrsol,
		const VectorXi	signs,
		const int	dmp,
		const double	max_err,
		const SuperPotentialType	spt ) const

Output to file.

Parameters

k	Power in superpotential
lambda	Coupling
num_nrsol	Number of "convergent" trials of NR method
signs	Sign determinant
dmp	Number of omitting solutions because of divergence
max_err	Maximum error of NR method
spt	Superpotential type

Definition at line 33 of file field_nicolai.cpp.

◆ nr_nvec()

VectorXd Nicolai::nr_nvec ( ) const

Compute Vector for NR method (Real type)

See also: Scalar; Scalar::nr_loop; PotentialNR

Definition at line 9 of file field_nicolai.cpp.

◆ nrerr_nvec()

VectorXcd Nicolai::nrerr_nvec ( ) const

Compute Vector for NR error estimate (complex type)

See also: Scalar; Scalar::nr_error_vec; Scalar::nr_error; PotentialNR

Definition at line 22 of file field_nicolai.cpp.

◆ operator!=()

bool Nicolai::operator!= ( const Nicolai & f )

inlinevirtual

Not identical (Li, num_f) ?

Definition at line 101 of file field_nicolai.hpp.

◆ operator==()

bool Nicolai::operator== ( const Nicolai & f )

inlinevirtual

Is identical (Li, num_f) ?

Definition at line 96 of file field_nicolai.hpp.

◆ show()

void Nicolai::show ( ) const

virtual

Output Li, in, field.

Reimplemented from Field.

Reimplemented in NicolaiSol.

Definition at line 99 of file field_nicolai.cpp.

Member Data Documentation

◆ in

int Nicolai::in

protected

ID number for the Nicolai map.

Definition at line 71 of file field_nicolai.hpp.

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

Public Member Functions

Protected Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ Nicolai() [1/2]

◆ Nicolai() [2/2]

◆ ~Nicolai()

Member Function Documentation

◆ nic_output()

◆ nr_nvec()

◆ nrerr_nvec()

◆ operator!=()

◆ operator==()

◆ show()

Member Data Documentation

◆ in