github.com/gopherd/gonum@v0.0.4/lapack/testlapack/dlanst.go (about) 1 // Copyright ©2016 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 "math/rand" 12 13 "github.com/gopherd/gonum/lapack" 14 ) 15 16 type Dlanster interface { 17 Dlanst(norm lapack.MatrixNorm, n int, d, e []float64) float64 18 Dlanger 19 } 20 21 func DlanstTest(t *testing.T, impl Dlanster) { 22 rnd := rand.New(rand.NewSource(1)) 23 for _, norm := range []lapack.MatrixNorm{lapack.MaxAbs, lapack.MaxColumnSum, lapack.MaxRowSum, lapack.Frobenius} { 24 for _, n := range []int{1, 3, 10, 100} { 25 for cas := 0; cas < 100; cas++ { 26 // Generate randomly the main diagonal of the 27 // symmetric tridiagonal matrix A. 28 d := make([]float64, n) 29 for i := range d { 30 d[i] = rnd.NormFloat64() 31 } 32 // Generate randomly the off-diagonal of A. 33 e := make([]float64, n-1) 34 for i := range e { 35 e[i] = rnd.NormFloat64() 36 } 37 38 // Create A in dense representation. 39 m := n 40 lda := n 41 a := make([]float64, m*lda) 42 for i := 0; i < n; i++ { 43 a[i*lda+i] = d[i] 44 } 45 for i := 0; i < n-1; i++ { 46 a[i*lda+i+1] = e[i] 47 a[(i+1)*lda+i] = e[i] 48 } 49 50 work := make([]float64, n) 51 // Compute a norm of A using Dlanst. 52 syNorm := impl.Dlanst(norm, n, d, e) 53 // Compute a reference value for the norm using 54 // Dlange and the dense representation of A. 55 geNorm := impl.Dlange(norm, m, n, a, lda, work) 56 if math.Abs(syNorm-geNorm) > 1e-12 { 57 t.Errorf("Norm mismatch: norm = %v, cas = %v, n = %v. Want %v, got %v.", string(norm), cas, n, geNorm, syNorm) 58 } 59 } 60 } 61 } 62 }