// Copyright ©2021 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 testlapack import ( "fmt" "math" "testing" "golang.org/x/exp/rand" "gonum.org/v1/gonum/blas" "gonum.org/v1/gonum/blas/blas64" ) type Dgetc2er interface { Dgetc2(n int, a []float64, lda int, ipiv, jpiv []int) (k int) } func Dgetc2Test(t *testing.T, impl Dgetc2er) { const tol = 1e-12 rnd := rand.New(rand.NewSource(1)) for _, n := range []int{0, 1, 2, 3, 4, 5, 10, 20} { for _, lda := range []int{n, n + 5} { dgetc2Test(t, impl, rnd, n, lda, tol) } } } func dgetc2Test(t *testing.T, impl Dgetc2er, rnd *rand.Rand, n, lda int, tol float64) { name := fmt.Sprintf("n=%v,lda=%v", n, lda) if lda == 0 { lda = 1 } // Generate a random general matrix A. a := randomGeneral(n, n, lda, rnd) // ipiv and jpiv are outputs. ipiv := make([]int, n) jpiv := make([]int, n) for i := 0; i < n; i++ { ipiv[i], jpiv[i] = -1, -1 // Set to non-indices. } // Copy to store output (LU decomposition). lu := cloneGeneral(a) k := impl.Dgetc2(n, lu.Data, lu.Stride, ipiv, jpiv) if k >= 0 { t.Logf("%v: matrix was perturbed at %d", name, k) } // Verify all indices are set. for i := 0; i < n; i++ { if ipiv[i] < 0 { t.Errorf("%v: ipiv[%d] is negative", name, i) } if jpiv[i] < 0 { t.Errorf("%v: jpiv[%d] is negative", name, i) } } bi := blas64.Implementation() // Construct L and U triangular matrices from Dgetc2 output. L := zeros(n, n, lda) U := zeros(n, n, lda) for i := 0; i < n; i++ { for j := 0; j < n; j++ { idx := i*lda + j if j >= i { // On upper triangle and setting of L's unit diagonal elements. U.Data[idx] = lu.Data[idx] if j == i { L.Data[idx] = 1.0 } } else if i > j { // On diagonal or lower triangle. L.Data[idx] = lu.Data[idx] } } } work := zeros(n, n, lda) bi.Dgemm(blas.NoTrans, blas.NoTrans, n, n, n, 1, L.Data, L.Stride, U.Data, U.Stride, 0, work.Data, work.Stride) // Apply Permutations P and Q to L*U. for i := n - 1; i >= 0; i-- { ipv, jpv := ipiv[i], jpiv[i] if ipv != i { bi.Dswap(n, work.Data[i*lda:], 1, work.Data[ipv*lda:], 1) } if jpv != i { bi.Dswap(n, work.Data[i:], work.Stride, work.Data[jpv:], work.Stride) } } // A should be reconstructed by now. for i := range work.Data { if math.Abs(work.Data[i]-a.Data[i]) > tol { t.Errorf("%v: matrix %d idx not equal after reconstruction. got %g, expected %g", name, i, work.Data[i], a.Data[i]) } } }