qr
QR Factorization
Previous versions of Breeze had qr(m, skipQ), where we could skip the computation in making Q if we didn't want it. That is now supplanted by qr.justR(m)
Supports complete and reduced mode of factorization of matrix A with dimensions (m, n). If mode is complete matrices Q and R have dimensions (m, m), (m, n). If mode is reduced matrices Q and R have dimensions (m, k), (k, n) with k = min(m, n).
Complete QR factorization can be called by qr(A).
Reduced QR factorization can be called by qr.reduced(A). If computation of Q is unnecessary, it can be skipped by qr.reduced.justR(A)
- Returns
(Q, R) Q - A matrix with orthonormal columns R - The upper-triangular matrix
Type members
Classlikes
Inherited types
Value members
Inherited methods
final def apply[V1, V2, V3, V4, VR](v1: V1, v2: V2, v3: V3, v4: V4)(implicit impl: Impl4[V1, V2, V3, V4, VR]): VR
- Inherited from
- UFunc
final def apply[V1, @specialized(Int, Double, Float) V2, @specialized(Int, Double, Float) V3, @specialized(Int, Double, Float) VR](v1: V1, v2: V2, v3: V3)(implicit impl: Impl3[V1, V2, V3, VR]): VR
- Inherited from
- UFunc
final def apply[@specialized(Int, Double, Float) V1, @specialized(Int, Double, Float) V2, @specialized(Int, Double, Float) VR](v1: V1, v2: V2)(implicit impl: Impl2[V1, V2, VR]): VR
- Inherited from
- UFunc
final def apply[@specialized(Int, Double, Float) V, @specialized(Int, Double, Float) VR](v: V)(implicit impl: Impl[V, VR]): VR
- Inherited from
- UFunc