abstract class Fac_QR[MatT <: MatriD] extends Factorization with Error
The Fac_QR abstarct class provides base methods to factor an 'm-by-n' matrix 'aa'
into the product of two matrices:
'q' - an 'm-by-n' orthogonal matrix and 'r' - an 'n-by-n' right upper triangular matrix
such that 'aa = q * r'. ------------------------------------------------------------------------------
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new
Fac_QR(aa: MatT, needQ: Boolean = true)
- aa
the matrix to be factor into q and r
- needQ
flag indicating whether a full q matrix is needed
Abstract Value Members
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abstract
def
computeQ(): Unit
Compute values for the full 'q' matrix.
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abstract
def
factor(): Unit
Factor a matrix into the product of two matrices without returning the two factored matrices.
Factor a matrix into the product of two matrices without returning the two factored matrices. Allows for example skipping the computation of the Q matrix in QR factorization when it is not needed, e.g., for regression. Class implementing the 'factor' method should set 'factored = true'.
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- Factorization
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abstract
def
nullspace(rank: Int): MatriD
Compute the nullspace of matrix 'a: { x | a*x = 0 }' using QR Factorization 'q*r*x = 0'.
Compute the nullspace of matrix 'a: { x | a*x = 0 }' using QR Factorization 'q*r*x = 0'. Gives a basis of dimension 'n - rank' for the nullspace
- rank
the rank of the matrix (number of linearly independent row vectors)
Concrete Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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def
==(arg0: Any): Boolean
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asInstanceOf[T0]: T0
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def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
factor1(): MatriD
Factor a matrix into the product of two matrices, e.g., 'a = l * l.t', returning only the first matrix.
Factor a matrix into the product of two matrices, e.g., 'a = l * l.t', returning only the first matrix.
- Definition Classes
- Factorization
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def
factor12(): (MatriD, MatriD)
Factor a matrix into the product of two matrices, e.g., 'a = l * l.t' or a = q * r, returning both the first and second matrices.
Factor a matrix into the product of two matrices, e.g., 'a = l * l.t' or a = q * r, returning both the first and second matrices.
- Definition Classes
- Factorization
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def
factor2(): MatriD
Factor a matrix into the product of two matrices, e.g., 'a = l * l.t', returning only the second matrix.
Factor a matrix into the product of two matrices, e.g., 'a = l * l.t', returning only the second matrix.
- Definition Classes
- Factorization
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val
factored: Boolean
Flag indicating whether the matrix has been factored
Flag indicating whether the matrix has been factored
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def
factors: (MatriD, MatriD)
Return both the orthogonal 'q' matrix and the right upper triangular 'r' matrix.
Return both the orthogonal 'q' matrix and the right upper triangular 'r' matrix.
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- Fac_QR → Factorization
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def
finalize(): Unit
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final
def
flaw(method: String, message: String): Unit
Show the flaw by printing the error message.
Show the flaw by printing the error message.
- method
the method where the error occurred
- message
the error message
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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val
m: Int
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val
n: Int
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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def
notifyAll(): Unit
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val
p: Int
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val
q: MatrixD
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val
r: MatriD
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def
solve(b: VectoD): VectoD
Solve for 'x' in 'aa*x = b' using the QR Factorization 'aa = q*r' via 'r*x = q.t * b'.
Solve for 'x' in 'aa*x = b' using the QR Factorization 'aa = q*r' via 'r*x = q.t * b'. Requires calculating 'q' matrix first.
- b
the constant vector@param y the constant vector
- Definition Classes
- Fac_QR → Factorization
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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def
wait(): Unit
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wait(arg0: Long, arg1: Int): Unit
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wait(arg0: Long): Unit
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