HLIBpro
3.0
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Uses rank-revealing QR to compute low rank approximation. More...
#include <TLowRankApx.hh>
Public Member Functions | |
virtual std::unique_ptr< TMatrix< value_t > > | build (const TBlockCluster *bcl, const TTruncAcc &acc) const |
virtual std::unique_ptr< TMatrix< value_t > > | build (const TBlockIndexSet &block_is, const TTruncAcc &acc) const |
Public Member Functions inherited from TLowRankApx< T_value > | |
virtual bool | has_statistics () const |
indicate if algorithm provides statistics | |
TRRQRLRApx uses rank-revealing QR to approximate a given matrix block. For the approximation, the complete matrix block has to be evaluated, hence complexity is at least O(n²).
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build low rank matrix for block cluster bcl with rank defined by accuracy acc
Reimplemented from TLowRankApx< T_value >.
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virtual |
build low rank matrix for block index set block_is with rank defined by accuracy acc
Implements TLowRankApx< T_value >.