@Deprecated public abstract class HessenbergDecomposition<N extends java.lang.Number> extends java.lang.Object implements Hessenberg<N>
InverterTask.Factory<N extends java.lang.Number>SolverTask.Factory<N extends java.lang.Number>BIG, COMPLEX, PRIMITIVEBIG, COMPLEX, PRIMITIVE| Modifier and Type | Method and Description |
|---|---|
boolean |
compute(Access2D<?> matrix)
Deprecated.
|
boolean |
compute(Access2D<?> matrix,
boolean upper)
Deprecated.
|
boolean |
equals(MatrixStore<N> aStore,
NumberContext context)
Deprecated.
|
boolean |
equals(java.lang.Object someObj) |
MatrixStore<N> |
getH()
Deprecated.
|
MatrixStore<N> |
getInverse()
The output must be a "right inverse" and a "generalised inverse".
|
MatrixStore<N> |
getInverse(DecompositionStore<N> preallocated)
Implementiong this method is optional.
|
MatrixStore<N> |
getQ()
Deprecated.
|
MatrixStore<N> |
invert(MatrixStore<N> original)
The output must be a "right inverse" and a "generalised inverse".
|
MatrixStore<N> |
invert(MatrixStore<N> original,
DecompositionStore<N> preallocated)
Implementiong this method is optional.
|
boolean |
isComputed() |
boolean |
isFullSize()
Deprecated.
|
boolean |
isSolvable()
Deprecated.
|
boolean |
isUpper()
Deprecated.
|
static <N extends java.lang.Number> |
make(Access2D<N> aTypical)
Deprecated.
v38 Use
Hessenberg.make(Access2D) instead |
static Hessenberg<java.math.BigDecimal> |
makeBig()
Deprecated.
v38 Use
Hessenberg.makeBig() instead |
static Hessenberg<ComplexNumber> |
makeComplex()
Deprecated.
v38 Use
Hessenberg.makeComplex() instead |
static Hessenberg<java.lang.Double> |
makePrimitive()
Deprecated.
v38 Use
Hessenberg.makePrimitive() instead |
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.
|
void |
reset()
Deprecated.
Delete computed results, and resets attributes to default values
|
MatrixStore<N> |
solve(Access2D<N> rhs)
[A][X]=[B] or [this][return]=[rhs]
|
MatrixStore<N> |
solve(Access2D<N> body,
Access2D<N> rhs)
[A][X]=[B] or [body][return]=[rhs]
|
MatrixStore<N> |
solve(Access2D<N> body,
Access2D<N> rhs,
DecompositionStore<N> preallocated)
Implementiong this method is optional.
|
MatrixStore<N> |
solve(Access2D<N> rhs,
DecompositionStore<N> preallocated)
Deprecated.
Implementiong this method is optional.
|
getClass, hashCode, notify, notifyAll, toString, wait, wait, waitreconstructequals, getInverse, getInverse, isComputed, solveinvert, invert, preallocatepreallocate, solve, solve@Deprecated public static final <N extends java.lang.Number> Hessenberg<N> make(Access2D<N> aTypical)
Hessenberg.make(Access2D) insteadmake in interface Hessenberg<N extends java.lang.Number>@Deprecated public static Hessenberg<java.math.BigDecimal> makeBig()
Hessenberg.makeBig() insteadmakeBig in interface Hessenberg<N extends java.lang.Number>@Deprecated public static Hessenberg<ComplexNumber> makeComplex()
Hessenberg.makeComplex() insteadmakeComplex in interface Hessenberg<N extends java.lang.Number>@Deprecated public static Hessenberg<java.lang.Double> makePrimitive()
Hessenberg.makePrimitive() insteadmakePrimitive in interface Hessenberg<N extends java.lang.Number>public final boolean compute(Access2D<?> matrix)
compute in interface MatrixDecomposition<N extends java.lang.Number>matrix - A matrix to decomposepublic final boolean compute(Access2D<?> matrix, boolean upper)
compute in interface Hessenberg<N extends java.lang.Number>public final boolean equals(MatrixStore<N> aStore, NumberContext context)
equals in interface MatrixDecomposition<N extends java.lang.Number>public final MatrixStore<N> getH()
getH in interface Hessenberg<N extends java.lang.Number>public final MatrixStore<N> getQ()
getQ in interface Hessenberg<N extends java.lang.Number>public final boolean isFullSize()
isFullSize in interface MatrixDecomposition<N extends java.lang.Number>public final boolean isSolvable()
isSolvable in interface MatrixDecomposition<N extends java.lang.Number>MatrixDecomposition.solve(Access2D),
MatrixDecomposition.isComputed()public boolean isUpper()
isUpper in interface Hessenberg<N extends java.lang.Number>public void reset()
MatrixDecompositionreset in interface MatrixDecomposition<N extends java.lang.Number>public MatrixStore<N> solve(Access2D<N> rhs, DecompositionStore<N> preallocated)
MatrixDecompositionImplementiong 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 MatrixDecomposition.solve(Access2D).
solve in interface MatrixDecomposition<N extends java.lang.Number>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 final MatrixStore<N> getInverse()
MatrixDecompositionBasicMatrix.invert()public MatrixStore<N> getInverse(DecompositionStore<N> preallocated)
MatrixDecompositionImplementiong 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 MatrixDecomposition.getInverse().
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<N> solve(Access2D<N> rhs)
MatrixDecompositionpublic boolean equals(java.lang.Object someObj)
equals in class java.lang.Objectpublic final MatrixStore<N> invert(MatrixStore<N> original)
InverterTaskBasicMatrix.invert()public final MatrixStore<N> invert(MatrixStore<N> original, DecompositionStore<N> 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<N> solve(Access2D<N> body, Access2D<N> rhs)
SolverTaskpublic final MatrixStore<N> solve(Access2D<N> body, Access2D<N> rhs, DecompositionStore<N> 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 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()