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Classes
SparseColumn

Classes

class  blaze::SparseColumn< typename, bool >
 Reference to a specific column of a sparse matrix.The SparseColumn template represents a reference to a specific column of a sparse matrix primitive. The type of the sparse matrix is specified via the first template parameter: More...
 

SparseColumn operators

template<typename MT , bool SO>
void blaze::reset (SparseColumn< MT, SO > &column)
 Resetting the given sparse column. More...
 
template<typename MT , bool SO>
void blaze::clear (SparseColumn< MT, SO > &column)
 Clearing the given sparse column. More...
 
template<typename MT , bool SO>
bool blaze::isDefault (const SparseColumn< MT, SO > &column)
 Returns whether the given sparse column is in default state. More...
 

Detailed Description

Function Documentation

template<typename MT , bool SO>
void blaze::clear ( SparseColumn< MT, SO > &  column)
inline

Clearing the given sparse column.

Parameters
columnThe sparse column to be cleared.
Returns
void

Clearing a sparse column is equivalent to resetting it via the reset() function.

template<typename MT , bool SO>
bool blaze::isDefault ( const SparseColumn< MT, SO > &  column)
inline

Returns whether the given sparse column is in default state.

Parameters
columnThe sparse column to be tested for its default state.
Returns
true in case the given column is component-wise zero, false otherwise.

This function checks whether the sparse column is in default state. For instance, in case the column is instantiated for a built-in integral or floating point data type, the function returns true in case all column elements are 0 and false in case any vector element is not 0. The following example demonstrates the use of the isDefault function:

// ... Resizing and initialization
if( isDefault( column( A, 0UL ) ) ) { ... }
template<typename MT , bool SO>
void blaze::reset ( SparseColumn< MT, SO > &  column)
inline

Resetting the given sparse column.

Parameters
columnThe sparse column to be resetted.
Returns
void