# Interface NTTStepStrategy

All Known Implementing Classes:
`DoubleNTTStepStrategy`, `FloatNTTStepStrategy`, `IntAparapiNTTStepStrategy`, `IntNTTStepStrategy`, `LongAparapiNTTStepStrategy`, `LongNTTStepStrategy`

public interface NTTStepStrategy
Steps for the six-step or two-pass NTT.
Since:
1.7.0
Version:
1.7.0
Author:
Mikko Tommila
• ## Method Summary

Modifier and Type
Method
Description
`long`
`getMaxTransformLength()`
Get the maximum transform length.
`void`
```multiplyElements(ArrayAccess arrayAccess, int startRow, int startColumn, int rows, int columns, long length, long totalTransformLength, boolean isInverse, int modulus)```
Multiply each matrix element `(i, j)` by `wi * j / totalTransformLength`.
`void`
```transformRows(ArrayAccess arrayAccess, int length, int count, boolean isInverse, boolean permute, int modulus)```
Transform the rows of the data matrix.
• ## Method Details

• ### multiplyElements

void multiplyElements(ArrayAccess arrayAccess, int startRow, int startColumn, int rows, int columns, long length, long totalTransformLength, boolean isInverse, int modulus) throws ApfloatRuntimeException
Multiply each matrix element `(i, j)` by `wi * j / totalTransformLength`. The matrix size is n1 x n2.
Parameters:
`arrayAccess` - The memory array to multiply.
`startRow` - Which row in the whole matrix the starting row in the `arrayAccess` is.
`startColumn` - Which column in the whole matrix the starting column in the `arrayAccess` is.
`rows` - The number of rows in the `arrayAccess` to multiply.
`columns` - The number of columns in the matrix (= n2).
`length` - The length of data in the matrix being transformed.
`totalTransformLength` - The total transform length, for the scaling factor. Used only for the inverse case.
`isInverse` - If the multiplication is done for the inverse transform or not.
`modulus` - Index of the modulus.
Throws:
`ApfloatRuntimeException`
• ### transformRows

void transformRows(ArrayAccess arrayAccess, int length, int count, boolean isInverse, boolean permute, int modulus) throws ApfloatRuntimeException
Transform the rows of the data matrix. If only one processor is available, it runs all transforms in the current thread. If more than one processor are available, it dispatches the calculations to multiple threads to parallelize the calculation. The number of processors is determined using `ApfloatContext.getNumberOfProcessors()`.
Parameters:
`arrayAccess` - The memory array to split to rows and to transform.
`length` - Length of one transform (one row).
`count` - Number of rows.
`isInverse` - `true` if an inverse transform is performed, `false` if a forward transform is performed.
`permute` - If permutation should be done.
`modulus` - Index of the modulus.
Throws:
`ApfloatRuntimeException`
• ### getMaxTransformLength

long getMaxTransformLength()
Get the maximum transform length.
Returns:
The maximum transform length.