| Package | Description | 
|---|---|
| org.ojalgo.matrix.decomposition | |
| org.ojalgo.matrix.task | 
| Modifier and Type | Interface and Description | 
|---|---|
interface  | 
Cholesky<N extends Number>
 Cholesky: [A] = [L][L]H (or [R]H[R]) 
 | 
interface  | 
Eigenvalue<N extends Number>
[A] = [V][D][V]-1 ([A][V] = [V][D])
 
 [A] = any square matrix.
 [V] = contains the eigenvectors as columns.
 [D] = a diagonal matrix with the eigenvalues on the diagonal (possibly in blocks).
  
 | 
interface  | 
LDL<N extends Number>
 LDL: [A] = [L][D][L]H (or [R]H[D][R]) 
 | 
interface  | 
LDU<N extends Number>
 LDU: [A] = [L][D][U] ( [P1][L][D][U][P2] ) 
 | 
interface  | 
LU<N extends Number>
LU: [A] = [L][U] 
 | 
static interface  | 
MatrixDecomposition.Determinant<N extends Number>  | 
interface  | 
QR<N extends Number>
QR: [A] = [Q][R] Decomposes [this] into [Q] and [R] where:
 
 [Q] is an orthogonal matrix (orthonormal columns). 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
HermitianEvD<N extends Number>
Eigenvalues and eigenvectors of a real matrix. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
DeterminantTask<N> | 
DeterminantTask.Factory.make(int dim,
    boolean symmetric)  | 
DeterminantTask<N> | 
DeterminantTask.Factory.make(MatrixStore<N> template)  | 
abstract DeterminantTask<N> | 
DeterminantTask.Factory.make(Structure2D template,
    boolean symmetric,
    boolean positiveDefinite)  | 
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