Package org.ejml.dense.row.misc
Class TransposeAlgs_FDRM
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- org.ejml.dense.row.misc.TransposeAlgs_FDRM
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public class TransposeAlgs_FDRM extends java.lang.ObjectLow level transpose algorithms. No sanity checks are performed. Take a look at BenchmarkTranspose to see which one is faster on your computer.
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Constructor Summary
Constructors Constructor Description TransposeAlgs_FDRM()
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Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method Description static voidblock(org.ejml.data.FMatrix1Row A, org.ejml.data.FMatrix1Row A_tran, int blockLength)Performs a transpose across block sub-matrices.static voidsquare(org.ejml.data.FMatrix1Row mat)In-place transpose for a square matrix.static voidstandard(org.ejml.data.FMatrix1Row A, org.ejml.data.FMatrix1Row A_tran)A straight forward transpose.
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Method Detail
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square
public static void square(org.ejml.data.FMatrix1Row mat)
In-place transpose for a square matrix. On most architectures it is faster than the standard transpose algorithm, but on most modern computers it's slower than block transpose.- Parameters:
mat- The matrix that is transposed in-place. Modified.
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block
public static void block(org.ejml.data.FMatrix1Row A, org.ejml.data.FMatrix1Row A_tran, int blockLength)Performs a transpose across block sub-matrices. Reduces the number of cache misses on larger matrices. *NOTE* If this is beneficial is highly dependent on the computer it is run on. e.g: - Q6600 Almost twice as fast as standard. - Pentium-M Same speed and some times a bit slower than standard.- Parameters:
A- Original matrix. Not modified.A_tran- Transposed matrix. Modified.blockLength- Length of a block.
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standard
public static void standard(org.ejml.data.FMatrix1Row A, org.ejml.data.FMatrix1Row A_tran)A straight forward transpose. Good for small non-square matrices.- Parameters:
A- Original matrix. Not modified.A_tran- Transposed matrix. Modified.
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