blob: 7f5498b8bede557913982ac16bb9346ba631b458 [file] [log] [blame]
package testlapack
import (
"math/rand"
"testing"
"gonum.org/v1/gonum/blas"
)
type Dpbtf2er interface {
Dpbtf2(ul blas.Uplo, n, kd int, ab []float64, ldab int) (ok bool)
Dpotrfer
}
func Dpbtf2Test(t *testing.T, impl Dpbtf2er) {
// Test random symmetric banded matrices against the full version.
rnd := rand.New(rand.NewSource(1))
for _, n := range []int{5, 10, 20} {
for _, kb := range []int{0, 1, 3, n - 1} {
for _, ldoff := range []int{0, 4} {
for _, ul := range []blas.Uplo{blas.Upper, blas.Lower} {
ldab := kb + 1 + ldoff
sym, band := randSymBand(ul, n, ldab, kb, rnd)
// Compute the Cholesky decomposition of the symmetric matrix.
ok := impl.Dpotrf(ul, sym.N, sym.Data, sym.Stride)
if !ok {
panic("bad test: symmetric cholesky decomp failed")
}
// Compute the Cholesky decomposition of the banded matrix.
ok = impl.Dpbtf2(band.Uplo, band.N, band.K, band.Data, band.Stride)
if !ok {
t.Errorf("SymBand cholesky decomp failed")
}
// Compare the result to the Symmetric decomposition.
sb := symBandToSym(ul, band.Data, n, kb, ldab)
if !equalApproxSymmetric(sym, sb, 1e-10) {
t.Errorf("chol mismatch banded and sym. n = %v, kb = %v, ldoff = %v", n, kb, ldoff)
}
}
}
}
}
}