Batch and Online Processing¶
Online processing computation mode assumes that the data arrives in blocks \(i = 1, 2, 3, \ldots \text{nblocks}\).
Algorithm Input¶
The SVD algorithm accepts the input described below.
Pass the Input ID as a parameter to the methods that provide input for your algorithm.
Input ID |
Input |
|---|---|
|
Pointer to the numeric table that represents:
The input can be an object of any class derived from |
Algorithm Parameters¶
The SVD algorithm has the following parameters:
Parameter |
Default Value |
Description |
|---|---|---|
|
|
The floating-point type that the algorithm uses for intermediate computations. Can be |
|
|
Performance-oriented computation method, the only method supported by the algorithm. |
|
|
Specifies whether the matrix of left singular vectors is required. Can be:
|
|
|
Specifies whether the matrix of left singular vectors is required. Can be:
|
Algorithm Output¶
The SVD algorithm calculates the results described below.
Pass the Result ID as a parameter to the methods that access the results of your algorithm.
Result ID |
Result |
|---|---|
|
Pointer to the \(1 \times p\) numeric table with singular values (the diagonal of the matrix \(\Sigma\)). |
|
Pointer to the \(n \times p\) numeric table with left singular vectors (matrix \(U\)).
Pass |
|
Pointer to the \(p \times p\) numeric table with right singular vectors (matrix \(V\)).
Pass |
Note
By default, these results are objects of the HomogenNumericTable class,
but you can define the result as an object of any class derived from NumericTable
except PackedSymmetricMatrix, PackedTriangularMatrix, and CSRNumericTable.