| Package | Description |
|---|---|
| smile.math |
Basic mathematical functions, complex, differentiable function interfaces,
random number generators, unconstrained optimization, and raw data type
(int and double) array lists, etc.
|
| smile.math.matrix |
Matrix interface, dense and sparse (band or irregular) matrix encapsulation
classes, LU, QR, Cholesky, SVD and eigen decompositions, etc.
|
| Modifier and Type | Method and Description |
|---|---|
static SingularValueDecomposition |
Math.svd(double[][] A)
Returns the singular value decomposition.
|
| Modifier and Type | Method and Description |
|---|---|
static SingularValueDecomposition |
SingularValueDecomposition.decompose(double[][] A)
Returns the singular value decomposition.
|
static SingularValueDecomposition |
SingularValueDecomposition.decompose(IMatrix A,
int k)
Find k largest approximate singular triples of a matrix by the
Lanczos algorithm.
|
static SingularValueDecomposition |
SingularValueDecomposition.decompose(IMatrix A,
int k,
double kappa)
Find k largest approximate singular triples of a matrix by the
Lanczos algorithm.
|
SingularValueDecomposition |
Matrix.svd()
Returns the singular value decomposition.
|
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