#include "matpackIV.h"
#include "exceptions.h"

Include dependency graph for matpackIV.cc:

Functions
std::ostream &	operator<< (std::ostream &os, const ConstTensor4View &v)
	Output operator. More...

void	copy (ConstIterator4D origin, const ConstIterator4D &end, Iterator4D target)
	Copy data between begin and end to target. More...

void	copy (Numeric x, Iterator4D target, const Iterator4D &end)
	Copy a scalar to all elements. More...

void	swap (Tensor4 &t1, Tensor4 &t2)
	Swaps two objects. More...

void	transform (Tensor4View y, double(&my_func)(double), ConstTensor4View x)
	A generic transform function for tensors, which can be used to implement mathematical functions operating on all elements. More...

Numeric	max (const ConstTensor4View &x)
	Max function, tensor version. More...

Numeric	min (const ConstTensor4View &x)
	Min function, tensor version. More...

Numeric	debug_tensor4view_get_elem (Tensor4View &tv, Index b, Index p, Index r, Index c)
	Helper function to access tensor elements. More...

Detailed Description

Author: Oliver Lemke

Date: 2002-11-21

Definition in file matpackIV.cc.

Function Documentation

◆ copy() [1/2]

void copy	(	ConstIterator4D	origin,
		const ConstIterator4D &	end,
		Iterator4D	target
	)

Copy data between begin and end to target.

Target must be a valid area of memory. Note that the strides in the iterators can be different, so that we can copy data between different kinds of subtensors.

Definition at line 1267 of file matpackIV.cc.

References ConstTensor3View::begin(), Tensor3View::begin(), copy(), ConstTensor3View::end(), and Tensor4View::end().

Referenced by copy(), Tensor4View::operator=(), Tensor4::operator=(), and Tensor4::Tensor4().

◆ copy() [2/2]

void copy	(	Numeric	x,
		Iterator4D	target,
		const Iterator4D &	end
	)

Copy a scalar to all elements.

Definition at line 1280 of file matpackIV.cc.

References Tensor3View::begin(), copy(), Tensor3View::end(), and Tensor4View::end().

◆ debug_tensor4view_get_elem()

Numeric debug_tensor4view_get_elem	(	Tensor4View &	tv,
		Index	b,
		Index	p,
		Index	r,
		Index	c
	)

Helper function to access tensor elements.

Because of function inlining the operator() is not accessible from the debuggger. This function helps to access Tensor elements from within the debugger.

Parameters

tv	TensorView
b	Book index
p	Page index
r	Row index
c	Column index

Author: Oliver Lemke

Date: 2004-05-10

Definition at line 1558 of file matpackIV.cc.

◆ max()

Numeric max ( const ConstTensor4View & x )

Max function, tensor version.

Definition at line 1495 of file matpackIV.cc.

References ConstTensor4View::begin(), ConstTensor4View::end(), and max().

Referenced by max().

◆ min()

Numeric min ( const ConstTensor4View & x )

Min function, tensor version.

Definition at line 1517 of file matpackIV.cc.

References ConstTensor4View::begin(), ConstTensor4View::end(), and min().

Referenced by min().

◆ operator<<()

std::ostream& operator<<	(	std::ostream &	os,
		const ConstTensor4View &	v
	)

Output operator.

This demonstrates how iterators can be used to traverse the tensor. We use the standard output operator for Tensor to print each book in turn.

Definition at line 499 of file matpackIV.cc.

References ConstTensor4View::begin(), and ConstTensor4View::end().

◆ swap()

void swap	(	Tensor4 &	t1,
		Tensor4 &	t2
	)

Swaps two objects.

Definition at line 1438 of file matpackIV.cc.

References ConstTensor4View::mbr, ConstTensor4View::mcr, ConstTensor4View::mdata, ConstTensor4View::mpr, and ConstTensor4View::mrr.

◆ transform()

void transform	(	Tensor4View	y,
		double(&)(double)	my_func,
		ConstTensor4View	x
	)

A generic transform function for tensors, which can be used to implement mathematical functions operating on all elements.

Because we have this, we don't need explicit functions like sqrt for tensors! The type of the mathematical function is double (&my_func)(double). Numeric would not work here, since mathematical functions for float do not exist!

transform(y,sin,x) computes y = sin(x)

The two views may be the same one, in which case the conversion happens in place.