github.com/jingcheng-WU/gonum@v0.9.1-0.20210323123734-f1a2a11a8f7b/lapack/testlapack/dgebrd.go (about) 1 // Copyright ©2015 The Gonum Authors. All rights reserved. 2 // Use of this source code is governed by a BSD-style 3 // license that can be found in the LICENSE file. 4 5 package testlapack 6 7 import ( 8 "math" 9 "testing" 10 11 "golang.org/x/exp/rand" 12 13 "github.com/jingcheng-WU/gonum/floats" 14 ) 15 16 type Dgebrder interface { 17 Dgebrd(m, n int, a []float64, lda int, d, e, tauQ, tauP, work []float64, lwork int) 18 Dgebd2er 19 } 20 21 func DgebrdTest(t *testing.T, impl Dgebrder) { 22 rnd := rand.New(rand.NewSource(1)) 23 for _, test := range []struct { 24 m, n, lda int 25 }{ 26 {100, 100, 0}, 27 {100, 150, 0}, 28 {150, 100, 0}, 29 {100, 100, 200}, 30 {100, 150, 200}, 31 {150, 100, 200}, 32 33 {300, 300, 0}, 34 {300, 400, 0}, 35 {400, 300, 0}, 36 {300, 300, 500}, 37 {300, 400, 500}, 38 {300, 400, 500}, 39 } { 40 m := test.m 41 n := test.n 42 lda := test.lda 43 if lda == 0 { 44 lda = n 45 } 46 minmn := min(m, n) 47 a := make([]float64, m*lda) 48 for i := range a { 49 a[i] = rnd.NormFloat64() 50 } 51 52 d := make([]float64, minmn) 53 e := make([]float64, minmn-1) 54 tauP := make([]float64, minmn) 55 tauQ := make([]float64, minmn) 56 work := make([]float64, max(m, n)) 57 for i := range work { 58 work[i] = math.NaN() 59 } 60 61 // Store a. 62 aCopy := make([]float64, len(a)) 63 copy(aCopy, a) 64 65 // Compute the true answer with the unblocked algorithm. 66 impl.Dgebd2(m, n, a, lda, d, e, tauQ, tauP, work) 67 aAns := make([]float64, len(a)) 68 copy(aAns, a) 69 dAns := make([]float64, len(d)) 70 copy(dAns, d) 71 eAns := make([]float64, len(e)) 72 copy(eAns, e) 73 tauQAns := make([]float64, len(tauQ)) 74 copy(tauQAns, tauQ) 75 tauPAns := make([]float64, len(tauP)) 76 copy(tauPAns, tauP) 77 78 // Test with optimal work. 79 lwork := -1 80 copy(a, aCopy) 81 impl.Dgebrd(m, n, a, lda, d, e, tauQ, tauP, work, lwork) 82 work = make([]float64, int(work[0])) 83 lwork = len(work) 84 for i := range work { 85 work[i] = math.NaN() 86 } 87 for i := range d { 88 d[i] = math.NaN() 89 } 90 for i := range e { 91 e[i] = math.NaN() 92 } 93 for i := range tauQ { 94 tauQ[i] = math.NaN() 95 } 96 for i := range tauP { 97 tauP[i] = math.NaN() 98 } 99 impl.Dgebrd(m, n, a, lda, d, e, tauQ, tauP, work, lwork) 100 101 // Test answers 102 if !floats.EqualApprox(a, aAns, 1e-10) { 103 t.Errorf("a mismatch") 104 } 105 if !floats.EqualApprox(d, dAns, 1e-10) { 106 t.Errorf("d mismatch") 107 } 108 if !floats.EqualApprox(e, eAns, 1e-10) { 109 t.Errorf("e mismatch") 110 } 111 if !floats.EqualApprox(tauQ, tauQAns, 1e-10) { 112 t.Errorf("tauQ mismatch") 113 } 114 if !floats.EqualApprox(tauP, tauPAns, 1e-10) { 115 t.Errorf("tauP mismatch") 116 } 117 118 // Test with shorter than optimal work. 119 lwork-- 120 copy(a, aCopy) 121 for i := range d { 122 d[i] = 0 123 } 124 for i := range e { 125 e[i] = 0 126 } 127 for i := range tauP { 128 tauP[i] = 0 129 } 130 for i := range tauQ { 131 tauQ[i] = 0 132 } 133 impl.Dgebrd(m, n, a, lda, d, e, tauQ, tauP, work, lwork) 134 135 // Test answers 136 if !floats.EqualApprox(a, aAns, 1e-10) { 137 t.Errorf("a mismatch") 138 } 139 if !floats.EqualApprox(d, dAns, 1e-10) { 140 t.Errorf("d mismatch") 141 } 142 if !floats.EqualApprox(e, eAns, 1e-10) { 143 t.Errorf("e mismatch") 144 } 145 if !floats.EqualApprox(tauQ, tauQAns, 1e-10) { 146 t.Errorf("tauQ mismatch") 147 } 148 if !floats.EqualApprox(tauP, tauPAns, 1e-10) { 149 t.Errorf("tauP mismatch") 150 } 151 } 152 }