ModuleBase::PolyInt Class Reference

#include <math_polyint.h>

Collaboration diagram for ModuleBase::PolyInt:

Public Member Functions
	PolyInt ()
	~PolyInt ()

Static Public Member Functions
static void	Polynomial_Interpolation (const ModuleBase::realArray &table, const int &dim1, const int &dim2, ModuleBase::realArray &y, const int &dim_y, const int &table_length, const double &table_interval, const double &x)
	Lagrange interpolation.
static double	Polynomial_Interpolation (const ModuleBase::realArray &table, const int &dim1, const int &dim2, const int &table_length, const double &table_interval, const double &x)
	Lagrange interpolation.
static double	Polynomial_Interpolation (const ModuleBase::realArray &table, const int &dim1, const int &dim2, const int &dim3, const int &table_length, const double &table_interval, const double &x)
	Lagrange interpolation.
static double	Polynomial_Interpolation (const double *table, const int &table_length, const double &table_interval, const double &x)
	Lagrange interpolation.
static double	Polynomial_Interpolation_xy (const double *xpoint, const double *ypoint, const int table_length, const double &x)
	Lagrange interpolation.

Constructor & Destructor Documentation

PolyInt()

ModuleBase::PolyInt::PolyInt

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)

~PolyInt()

ModuleBase::PolyInt::~PolyInt

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)

Member Function Documentation

Polynomial_Interpolation() [1/4]

double ModuleBase::PolyInt::Polynomial_Interpolation ( const double *  table, const int &  table_length, const double &  table_interval, const double &  x  )

static

Lagrange interpolation.

Parameters

table	[in] the data used to do prediction
table_length	[in] length of table
table_interval	[in] interval of table
x	[in] the position to be predicted

Returns

double the predicted value

Polynomial_Interpolation() [2/4]

double ModuleBase::PolyInt::Polynomial_Interpolation ( const ModuleBase::realArray &  table, const int &  dim1, const int &  dim2, const int &  dim3, const int &  table_length, const double &  table_interval, const double &  x  )

static

Lagrange interpolation.

Parameters

table	[in] four dimension matrix, the data in 4th dimension is used to do prediction
dim1	[in] index of 1st dimension of table
dim2	[in] index of 2nd dimension of table
dim3	[in] index of 3rd dimension of table
table_length	[in] length of 4th dimension of table
table_interval	[in] interval of 4th dimension of table
x	[in] the position in 4th dimension to be predicted

Returns

double the predicted value

Author

pengfei Li

Date

2018-3-23

Polynomial_Interpolation() [3/4]

double ModuleBase::PolyInt::Polynomial_Interpolation ( const ModuleBase::realArray &  table, const int &  dim1, const int &  dim2, const int &  table_length, const double &  table_interval, const double &  x  )

static

Lagrange interpolation.

Parameters

table	[in] three dimension matrix, the data in 3rd dimension is used to do prediction
dim1	[in] index of 1st dimension of table
dim2	[in] index of 2nd dimension of table
table_length	[in] length of 3rd dimension of table
table_interval	[in] interval of 3rd dimension of table
x	[in] the position in 3rd dimension to be predicted

Returns

double the predicted value

Polynomial_Interpolation() [4/4]

void ModuleBase::PolyInt::Polynomial_Interpolation ( const ModuleBase::realArray &  table, const int &  dim1, const int &  dim2, ModuleBase::realArray &  y, const int &  dim_y, const int &  table_length, const double &  table_interval, const double &  x  )

static

Lagrange interpolation.

Parameters

table	[in] three dimension matrix, the data in 3rd dimension is used to do prediction
dim1	[in] index of 1st dimension of table/y
dim2	[in] index of 2nd dimension of table/y
y	[out] three dimension matrix to store the predicted value
dim_y	[in] index of 3rd dimension of y to store predicted value
table_length	[in] length of 3rd dimension of table
table_interval	[in] interval of 3rd dimension of table
x	[in] the position in 3rd dimension to be predicted

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Polynomial_Interpolation_xy()

double ModuleBase::PolyInt::Polynomial_Interpolation_xy ( const double *  xpoint, const double *  ypoint, const int  table_length, const double &  x  )

static

Lagrange interpolation.

Parameters

xpoint	[in] array of postion
ypoint	[in] array of data to do prediction
table_length	[in] length of xpoint
x	[in] position to be predicted

Returns

double predicted value

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

• /home/runner/work/abacus-develop/abacus-develop/source/source_base/math_polyint.h
• /home/runner/work/abacus-develop/abacus-develop/source/source_base/math_polyint.cpp