github.com/jingcheng-WU/gonum@v0.9.1-0.20210323123734-f1a2a11a8f7b/lapack/testlapack/dgtsv.go (about) 1 // Copyright ©2020 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 "fmt" 9 "math" 10 "testing" 11 12 "golang.org/x/exp/rand" 13 14 "github.com/jingcheng-WU/gonum/blas" 15 "github.com/jingcheng-WU/gonum/blas/blas64" 16 "github.com/jingcheng-WU/gonum/lapack" 17 ) 18 19 type Dgtsver interface { 20 Dgtsv(n, nrhs int, dl, d, du []float64, b []float64, ldb int) (ok bool) 21 } 22 23 func DgtsvTest(t *testing.T, impl Dgtsver) { 24 rnd := rand.New(rand.NewSource(1)) 25 for _, n := range []int{0, 1, 2, 3, 4, 5, 10, 25, 50} { 26 for _, nrhs := range []int{0, 1, 2, 3, 4, 10} { 27 for _, ldb := range []int{max(1, nrhs), nrhs + 3} { 28 dgtsvTest(t, impl, rnd, n, nrhs, ldb) 29 } 30 } 31 } 32 } 33 34 func dgtsvTest(t *testing.T, impl Dgtsver, rnd *rand.Rand, n, nrhs, ldb int) { 35 const ( 36 tol = 1e-14 37 extra = 10 38 ) 39 40 name := fmt.Sprintf("Case n=%d,nrhs=%d,ldb=%d", n, nrhs, ldb) 41 42 if n == 0 { 43 ok := impl.Dgtsv(n, nrhs, nil, nil, nil, nil, ldb) 44 if !ok { 45 t.Errorf("%v: unexpected failure for zero size matrix", name) 46 } 47 return 48 } 49 50 // Generate three random diagonals. 51 var ( 52 d, dCopy []float64 53 dl, dlCopy []float64 54 du, duCopy []float64 55 ) 56 d = randomSlice(n+1+extra, rnd) 57 dCopy = make([]float64, len(d)) 58 copy(dCopy, d) 59 if n > 1 { 60 dl = randomSlice(n+extra, rnd) 61 dlCopy = make([]float64, len(dl)) 62 copy(dlCopy, dl) 63 64 du = randomSlice(n+extra, rnd) 65 duCopy = make([]float64, len(du)) 66 copy(duCopy, du) 67 } 68 69 b := randomGeneral(n, nrhs, ldb, rnd) 70 got := cloneGeneral(b) 71 72 ok := impl.Dgtsv(n, nrhs, dl, d, du, got.Data, got.Stride) 73 if !ok { 74 t.Fatalf("%v: unexpected failure in Dgtsv", name) 75 return 76 } 77 78 // Compute A*X - B. 79 dlagtm(blas.NoTrans, n, nrhs, 1, dlCopy, dCopy, duCopy, got.Data, got.Stride, -1, b.Data, b.Stride) 80 81 anorm := dlangt(lapack.MaxColumnSum, n, dlCopy, dCopy, duCopy) 82 bi := blas64.Implementation() 83 var resid float64 84 for j := 0; j < nrhs; j++ { 85 bnorm := bi.Dasum(n, b.Data[j:], b.Stride) 86 xnorm := bi.Dasum(n, got.Data[j:], got.Stride) 87 resid = math.Max(resid, bnorm/anorm/xnorm) 88 } 89 if resid > tol { 90 t.Errorf("%v: unexpected result; resid=%v,want<=%v", name, resid, tol) 91 } 92 }