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testlapack: add test for Dgehrd
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@@ -32,6 +32,10 @@ func TestDgehd2(t *testing.T) {
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testlapack.Dgehd2Test(t, impl)
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}
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func TestDgehrd(t *testing.T) {
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testlapack.DgehrdTest(t, impl)
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}
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func TestDgelqf(t *testing.T) {
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testlapack.DgelqfTest(t, impl)
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}
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230
testlapack/dgehrd.go
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230
testlapack/dgehrd.go
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@@ -0,0 +1,230 @@
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// Copyright ©2016 The gonum Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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package testlapack
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import (
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"fmt"
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"math"
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"math/rand"
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"testing"
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"github.com/gonum/blas"
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"github.com/gonum/blas/blas64"
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)
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type Dgehrder interface {
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Dgehrd(n, ilo, ihi int, a []float64, lda int, tau, work []float64, lwork int)
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}
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func DgehrdTest(t *testing.T, impl Dgehrder) {
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rnd := rand.New(rand.NewSource(1))
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// Randomized tests for small matrix sizes that will most likely
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// use the unblocked algorithm.
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for _, n := range []int{1, 2, 3, 4, 5, 10, 34} {
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for _, extra := range []int{0, 1, 13} {
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for _, optwork := range []bool{true, false} {
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for cas := 0; cas < 100; cas++ {
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ilo := rnd.Intn(n)
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ihi := rnd.Intn(n)
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if ilo > ihi {
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ilo, ihi = ihi, ilo
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}
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testDgehrd(t, impl, n, ilo, ihi, extra, optwork, rnd)
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}
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}
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}
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}
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// These are selected tests for larger matrix sizes to test the blocked
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// algorithm. Use sizes around several powers of two because that is
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// where the blocked path will most likely start to be taken. For
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// example, at present the blocked algorithm is used for sizes larger
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// than 129.
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for _, test := range []struct {
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n, ilo, ihi int
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}{
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{0, 0, -1},
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{68, 0, 63},
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{68, 0, 64},
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{68, 0, 65},
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{68, 0, 66},
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{68, 0, 67},
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{132, 2, 129},
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{132, 1, 129}, // Size = 129, unblocked.
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{132, 0, 129}, // Size = 130, blocked.
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{132, 1, 130},
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{132, 0, 130},
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{132, 1, 131},
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{132, 0, 131},
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{260, 2, 257},
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{260, 1, 257},
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{260, 0, 257},
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{260, 0, 258},
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{260, 0, 259},
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} {
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for _, extra := range []int{0, 1, 13} {
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for _, optwork := range []bool{true, false} {
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testDgehrd(t, impl, test.n, test.ilo, test.ihi, extra, optwork, rnd)
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}
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}
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}
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}
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func testDgehrd(t *testing.T, impl Dgehrder, n, ilo, ihi, extra int, optwork bool, rnd *rand.Rand) {
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a := randomGeneral(n, n, n+extra, rnd)
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aCopy := a
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aCopy.Data = make([]float64, len(a.Data))
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copy(aCopy.Data, a.Data)
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var tau []float64
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if n > 1 {
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tau = nanSlice(n - 1)
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}
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var work []float64
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if optwork {
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work = nanSlice(1)
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impl.Dgehrd(n, ilo, ihi, a.Data, a.Stride, tau, work, -1)
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work = nanSlice(int(work[0]))
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} else {
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work = nanSlice(max(1, n))
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}
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impl.Dgehrd(n, ilo, ihi, a.Data, a.Stride, tau, work, len(work))
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if n == 0 {
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// Just make sure there is no panic.
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return
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}
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prefix := fmt.Sprintf("Case n=%v, ilo=%v, ihi=%v, extra=%v", n, ilo, ihi, extra)
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// Check any invalid modifications of a.
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if !generalOutsideAllNaN(a) {
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t.Errorf("%v: out-of-range write to A\n%v", prefix, a.Data)
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}
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for i := ilo; i <= ihi; i++ {
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for j := 0; j < min(ilo, i); j++ {
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if a.Data[i*a.Stride+j] != aCopy.Data[i*aCopy.Stride+j] {
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t.Errorf("%v: unexpected modification of A[%v,%v]", prefix, i, j)
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}
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}
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}
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for i := ihi + 1; i < n; i++ {
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for j := 0; j < i; j++ {
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if a.Data[i*a.Stride+j] != aCopy.Data[i*aCopy.Stride+j] {
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t.Errorf("%v: unexpected modification of A[%v,%v]", prefix, i, j)
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}
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}
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}
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for i := 0; i <= ilo; i++ {
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for j := i; j < ilo+1; j++ {
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if a.Data[i*a.Stride+j] != aCopy.Data[i*aCopy.Stride+j] {
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t.Errorf("%v: unexpected modification at A[%v,%v]", prefix, i, j)
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}
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}
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for j := ihi + 1; j < n; j++ {
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if a.Data[i*a.Stride+j] != aCopy.Data[i*aCopy.Stride+j] {
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t.Errorf("%v: unexpected modification at A[%v,%v]", prefix, i, j)
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}
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}
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}
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for i := ihi + 1; i < n; i++ {
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for j := i; j < n; j++ {
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if a.Data[i*a.Stride+j] != aCopy.Data[i*aCopy.Stride+j] {
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t.Errorf("%v: unexpected modification at A[%v,%v]", prefix, i, j)
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}
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}
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}
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// Check that tau has been assigned properly.
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for i, v := range tau {
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if math.IsNaN(v) {
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t.Errorf("%v: unexpected NaN at tau[%v]", prefix, i)
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}
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}
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// Extract Q and check that it is orthogonal.
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q := blas64.General{
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Rows: n,
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Cols: n,
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Stride: n,
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Data: make([]float64, n*n),
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}
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for i := 0; i < q.Rows; i++ {
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q.Data[i*q.Stride+i] = 1
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}
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qCopy := q
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qCopy.Data = make([]float64, len(q.Data))
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for j := ilo; j < ihi; j++ {
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h := blas64.General{
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Rows: n,
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Cols: n,
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Stride: n,
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Data: make([]float64, n*n),
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}
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for i := 0; i < h.Rows; i++ {
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h.Data[i*h.Stride+i] = 1
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}
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v := blas64.Vector{
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Inc: 1,
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Data: make([]float64, n),
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}
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v.Data[j+1] = 1
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for i := j + 2; i < ihi+1; i++ {
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v.Data[i] = a.Data[i*a.Stride+j]
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}
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blas64.Ger(-tau[j], v, v, h)
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copy(qCopy.Data, q.Data)
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blas64.Gemm(blas.NoTrans, blas.NoTrans, 1, qCopy, h, 0, q)
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}
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if !isOrthonormal(q) {
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t.Errorf("%v: Q is not orthogonal\nQ=%v", prefix, q)
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}
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// Construct Q^T * AOrig * Q and check that it is upper Hessenberg.
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aq := blas64.General{
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Rows: n,
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Cols: n,
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Stride: n,
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Data: make([]float64, n*n),
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}
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blas64.Gemm(blas.NoTrans, blas.NoTrans, 1, aCopy, q, 0, aq)
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qaq := blas64.General{
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Rows: n,
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Cols: n,
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Stride: n,
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Data: make([]float64, n*n),
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}
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blas64.Gemm(blas.Trans, blas.NoTrans, 1, q, aq, 0, qaq)
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for i := 0; i <= ilo; i++ {
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for j := ilo + 1; j <= ihi; j++ {
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qaqij := qaq.Data[i*qaq.Stride+j]
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diff := qaqij - a.Data[i*a.Stride+j]
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if math.Abs(diff) > 1e-13 {
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t.Errorf("%v: Q^T*AOrig*Q and A are not equal, diff at [%v,%v]=%v", prefix, i, j, diff)
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}
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}
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}
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for i := ilo + 1; i <= ihi; i++ {
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for j := ilo; j < n; j++ {
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qaqij := qaq.Data[i*qaq.Stride+j]
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if j < i-1 {
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if math.Abs(qaqij) > 1e-13 {
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t.Errorf("%v: Q^T*AOrig*Q is not upper Hessenberg, [%v,%v]=%v", prefix, i, j, qaqij)
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}
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continue
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}
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diff := qaqij - a.Data[i*a.Stride+j]
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if math.Abs(diff) > 1e-13 {
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t.Errorf("%v: Q^T*AOrig*Q and A are not equal, diff at [%v,%v]=%v", prefix, i, j, diff)
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}
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}
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}
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}
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@@ -40,6 +40,12 @@ func nanSlice(n int) []float64 {
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// nanGeneral allocates a new r×c general matrix filled with NaN values.
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func nanGeneral(r, c, stride int) blas64.General {
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if r < 0 || c < 0 {
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panic("bad matrix size")
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}
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if r == 0 || c == 0 {
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return blas64.General{}
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}
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return blas64.General{
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Rows: r,
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Cols: c,
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