RecursiveTable1D

class RecursiveTable1D : public feasst::Table1D 

One-dimensional nested table.

The bounds within a nested table are repeated, so it is inefficient if nested tables are small.

Public Functions

RecursiveTable1D(argtype args = argtype())

args:

Table1D arguments.

void insert(const int bin, const RecursiveTable1D &nested): Insert a nested table.

double percent_nested() const: Return the percentage of table that is nested.

double linear_interpolation(const double value0) const: Return linear interpolation of data given normalized values.

double forward_difference_interpolation(const double value0) const: Return the Newton-Gregory forward difference interpolation. See Allen and Tildesley, 5.2.2, Booth 1972

class RecursiveTable2D : public feasst::Table2D 

Two-dimensional nested table.

Public Functions

RecursiveTable2D(argtype args = argtype())

args:

Table2D arguments.

double linear_interpolation(const double value0, const double value1) const: Return linear interpolation of data given normalized values for each dimension that range from 0 to 1, inclusive.

int num_data() const: Return the total number of data points.

double percent_nested() const: Return the percentage of table that is nested.

class RecursiveTable3D : public feasst::Table3D 

Three-dimensional nested table.

Public Functions

RecursiveTable3D(argtype args = argtype())

args:

Table3D arguments.

double percent_nested() const: Return the percentage of table that is nested.

double linear_interpolation(const double value0, const double value1, const double value2) const: Return linear interpolation of data given normalized values for each dimension that range from 0 to 1, inclusive.

class RecursiveTable5D : public feasst::Table5D 

Five-dimensional nested table.

Public Functions

RecursiveTable5D(argtype args = argtype())

args:

Table5D arguments.

double linear_interpolation(const double value0, const double value1, const double value2, const double value3, const double value4) const: Return linear interpolation of data given normalized values for each dimension that range from 0 to 1, inclusive.

class RecursiveTable6D : public feasst::Table6D 

Six-dimensional nested table.

Public Functions

RecursiveTable6D(argtype args = argtype())

args:

Table6D arguments.

double linear_interpolation(const double value0, const double value1, const double value2, const double value3, const double value4, const double value5) const: Return linear interpolation of data given normalized values for each dimension that range from 0 to 1, inclusive.