public static final class RawEigenvalue.Nonsymmetric extends RawEigenvalue
RawEigenvalue.General, RawEigenvalue.Nonsymmetric, RawEigenvalue.SymmetricSolverTask.Factory<N extends java.lang.Number>DeterminantTask.Factory<N extends java.lang.Number>BIG, COMPLEX, PRIMITIVEBIG, COMPLEX, PRIMITIVE| Constructor and Description |
|---|
Nonsymmetric() |
| Modifier and Type | Method and Description |
|---|---|
MatrixStore<java.lang.Double> |
invert(MatrixStore<java.lang.Double> original)
The output must be a "right inverse" and a "generalised inverse".
|
MatrixStore<java.lang.Double> |
invert(MatrixStore<java.lang.Double> original,
DecompositionStore<java.lang.Double> preallocated)
Implementiong this method is optional.
|
boolean |
isComputed() |
DecompositionStore<N> |
preallocate(Access2D<N> template)
Implementiong this method is optional.
|
DecompositionStore<N> |
preallocate(Access2D<N> templateBody,
Access2D<N> templateRHS)
Implementiong this method is optional.
|
MatrixStore<java.lang.Double> |
solve(Access2D<java.lang.Double> body,
Access2D<java.lang.Double> rhs)
[A][X]=[B] or [body][return]=[rhs]
|
MatrixStore<java.lang.Double> |
solve(Access2D<java.lang.Double> body,
Access2D<java.lang.Double> rhs,
DecompositionStore<java.lang.Double> preallocated)
Implementiong this method is optional.
|
MatrixStore<java.lang.Double> |
solve(Access2D<java.lang.Double> rhs,
DecompositionStore<java.lang.Double> preallocated)
Makes no use of
preallocated at all. |
calculateDeterminant, compute, compute, equals, getD, getDeterminant, getEigenvalues, getInverse, getInverse, getTrace, getV, isFullSize, isHermitian, isOrdered, isSolvable, reconstruct, reset, solve, toStringequals, getClass, hashCode, notify, notifyAll, wait, wait, waitmake, makeBig, makeBig, makeComplex, makeComplex, makePrimitive, makePrimitivecheckAndComputeequals, isComputed, solveinvert, invert, preallocatepreallocate, solve, solvepublic final MatrixStore<java.lang.Double> invert(MatrixStore<java.lang.Double> original)
InverterTaskBasicMatrix.invert()public final MatrixStore<java.lang.Double> invert(MatrixStore<java.lang.Double> original, DecompositionStore<java.lang.Double> preallocated)
InverterTaskImplementiong this method is optional.
Exactly how a specific implementation makes use of preallocated is not specified by this
interface. It must be documented for each implementation.
Should produce the same results as calling InverterTask.invert(MatrixStore).
preallocated - Preallocated memory for the results, possibly some intermediate results. You must
assume this is modified, but you cannot assume it will contain the full/final/correct solution.public final MatrixStore<java.lang.Double> solve(Access2D<java.lang.Double> body, Access2D<java.lang.Double> rhs)
SolverTaskpublic final MatrixStore<java.lang.Double> solve(Access2D<java.lang.Double> body, Access2D<java.lang.Double> rhs, DecompositionStore<java.lang.Double> preallocated)
SolverTaskImplementiong this method is optional.
Exactly how a specific implementation makes use of preallocated is not specified by this
interface. It must be documented for each implementation.
Should produce the same results as calling SolverTask.solve(Access2D, Access2D).
rhs - The Right Hand Side, wont be modfiedpreallocated - Preallocated memory for the results, possibly some intermediate results. You must
assume this is modified, but you cannot assume it will contain the full/final/correct solution.public MatrixStore<java.lang.Double> solve(Access2D<java.lang.Double> rhs, DecompositionStore<java.lang.Double> preallocated)
preallocated at all. Simply delegates to MatrixDecomposition.solve(Access2D).rhs - The Right Hand Side, wont be modfiedpreallocated - Preallocated memory for the results, possibly some intermediate results. You must
assume this is modified, but you cannot assume it will contain the full/final/correct solution.MatrixDecomposition.solve(Access2D,
org.ojalgo.matrix.decomposition.DecompositionStore)public final DecompositionStore<N> preallocate(Access2D<N> template)
InverterTaskImplementiong this method is optional.
Will create a DecompositionStore instance suitable for use withInverterTask.invert(MatrixStore, DecompositionStore). When solving an equation system [A][X]=[B]
([mxn][nxb]=[mxb]) the preallocated memory/matrix will typically be either mxb or nxb (if A is square
then there is no doubt).preallocate in interface InverterTask<N extends java.lang.Number>public final DecompositionStore<N> preallocate(Access2D<N> templateBody, Access2D<N> templateRHS)
SolverTaskImplementiong this method is optional.
Will create a DecompositionStore instance suitable for use withSolverTask.solve(Access2D, Access2D, DecompositionStore). When solving an equation system [A][X]=[B]
([mxn][nxb]=[mxb]) the preallocated memory/matrix will typically be either mxb or nxb (if A is square
then there is no doubt).preallocate in interface SolverTask<N extends java.lang.Number>public final boolean isComputed()
isComputed in interface MatrixDecomposition<N extends java.lang.Number>MatrixDecomposition.compute(Access2D),
MatrixDecomposition.isSolvable()