Files
gonum/native/dgeqrf.go
btracey ec100cf00f Working implementation of blocked QR
Improved function documentation

Fixed dlarfb and dlarft and added full tests

Added dgelq2

Working Dgels

Fix many comments and tests

Many PR comment responses

Responded to more PR comments

Many PR comments
2015-07-15 00:43:15 -07:00

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// Copyright ©2015 The gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package native
import (
"github.com/gonum/blas"
"github.com/gonum/lapack"
)
// Dgeqrf computes the QR factorization of the m×n matrix a using a blocked
// algorithm. Please see the documentation for Dgeqr2 for a description of the
// parameters at entry and exit.
//
// Work is temporary storage, and lwork specifies the usable memory length.
// At minimum, lwork >= m and this function will panic otherwise.
// Dgeqrf is a blocked LQ factorization, but the block size is limited
// by the temporary space available. If lwork == -1, instead of performing Dgelqf,
// the optimal work length will be stored into work[0].
//
// tau must be at least len min(m,n), and this function will panic otherwise.
func (impl Implementation) Dgeqrf(m, n int, a []float64, lda int, tau, work []float64, lwork int) {
// TODO(btracey): This algorithm is oriented for column-major storage.
// Consider modifying the algorithm to better suit row-major storage.
// nb is the optimal blocksize, i.e. the number of columns transformed at a time.
nb := impl.Ilaenv(1, "DGEQRF", " ", m, n, -1, -1)
lworkopt := n * max(nb, 1)
lworkopt = max(n, lworkopt)
if lwork == -1 {
work[0] = float64(lworkopt)
return
}
checkMatrix(m, n, a, lda)
if len(work) < lwork {
panic(shortWork)
}
if lwork < n {
panic(badWork)
}
k := min(m, n)
if len(tau) < k {
panic(badTau)
}
if k == 0 {
return
}
nbmin := 2 // Minimal number of blocks
var nx int // Use unblocked (unless changed in the next for loop)
iws := n
ldwork := nb
// Only consider blocked if the suggested number of blocks is > 1 and the
// number of columns is sufficiently large.
if nb > 1 && k > nb {
// nx is the crossover point. Above this value the blocked routine should be used.
nx = max(0, impl.Ilaenv(3, "DGEQRF", " ", m, n, -1, -1))
if k > nx {
iws = ldwork * n
if lwork < iws {
// Not enough workspace to use the optimal number of blocks. Instead,
// get the maximum allowable number of blocks.
nb = lwork / n
nbmin = max(2, impl.Ilaenv(2, "DGEQRF", " ", m, n, -1, -1))
}
}
}
for i := range work {
work[i] = 0
}
// Compute QR using a blocked algorithm.
var i int
if nb >= nbmin && nb < k && nx < k {
for i = 0; i < k-nx; i += nb {
ib := min(k-i, nb)
// Compute the QR factorization of the current block.
impl.Dgeqr2(m-i, ib, a[i*lda+i:], lda, tau[i:], work)
if i+ib < n {
// Form the triangular factor of the block reflector and apply H^T
// In Dlarft, work becomes the T matrix.
impl.Dlarft(lapack.Forward, lapack.ColumnWise, m-i, ib,
a[i*lda+i:], lda,
tau[i:],
work, ldwork)
impl.Dlarfb(blas.Left, blas.Trans, lapack.Forward, lapack.ColumnWise,
m-i, n-i-ib, ib,
a[i*lda+i:], lda,
work, ldwork,
a[i*lda+i+ib:], lda,
work[ib*ldwork:], ldwork)
}
}
}
// Call unblocked code on the remaining columns.
if i < k {
impl.Dgeqr2(m-i, n-i, a[i*lda+i:], lda, tau[i:], work)
}
}