Add Dpocon and tests

This commit is contained in:
btracey
2015-09-09 23:00:50 -06:00
parent 96257fa90e
commit bffde37f95
5 changed files with 234 additions and 0 deletions

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@@ -524,6 +524,29 @@ func (impl Implementation) Dormqr(side blas.Side, trans blas.Transpose, m, n, k
clapack.Dormqr(side, trans, m, n, k, a, lda, tau, c, ldc)
}
// Dtrcon estimates the reciprocal of the condition number of a positive-definite
// matrix A given the Cholesky decmposition of A. The condition number computed
// is based on the 1-norm and the ∞-norm.
//
// anorm is the 1-norm and the ∞-norm of the original matrix A.
//
// work is a temporary data slice of length at least 3*n and Dpocon will panic otherwise.
//
// iwork is a temporary data slice of length at least n and Dpocon will panic otherwise.
func (impl Implementation) Dpocon(uplo blas.Uplo, n int, a []float64, lda int, anorm float64, work []float64, iwork []int) float64 {
checkMatrix(n, n, a, lda)
if uplo != blas.Upper && uplo != blas.Lower {
panic(badUplo)
}
if len(work) < 3*n {
panic(badWork)
}
if len(iwork) < n {
panic(badWork)
}
clapack.Dpocon(uplo, n, a, lda, anorm, rcond)
}
// Dtrcon estimates the reciprocal of the condition number of a triangular matrix A.
// The condition number computed may be based on the 1-norm or the ∞-norm.
//

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@@ -87,6 +87,10 @@ func TestDormlq(t *testing.T) {
}
*/
func TestDpocon(t *testing.T) {
testlapack.DpoconTest(t, impl)
}
func TestDtrcon(t *testing.T) {
testlapack.DtrconTest(t, impl)
}

72
native/dpocon.go Normal file
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@@ -0,0 +1,72 @@
package native
import (
"math"
"github.com/gonum/blas"
"github.com/gonum/blas/blas64"
)
// Dtrcon estimates the reciprocal of the condition number of a positive-definite
// matrix A given the Cholesky decmposition of A. The condition number computed
// is based on the 1-norm and the ∞-norm.
//
// anorm is the 1-norm and the ∞-norm of the original matrix A.
//
// work is a temporary data slice of length at least 3*n and Dpocon will panic otherwise.
//
// iwork is a temporary data slice of length at least n and Dpocon will panic otherwise.
func (impl Implementation) Dpocon(uplo blas.Uplo, n int, a []float64, lda int, anorm float64, work []float64, iwork []int) float64 {
checkMatrix(n, n, a, lda)
if uplo != blas.Upper && uplo != blas.Lower {
panic(badUplo)
}
if len(work) < 3*n {
panic(badWork)
}
if len(iwork) < n {
panic(badWork)
}
var rcond float64
if n == 0 {
return 1
}
if anorm == 0 {
return rcond
}
bi := blas64.Implementation()
var ainvnm float64
smlnum := dlamchS
upper := uplo == blas.Upper
var kase int
var normin bool
isave := new([3]int)
var sl, su float64
for {
ainvnm, kase = impl.Dlacn2(n, work[n:], work, iwork, ainvnm, kase, isave)
if kase == 0 {
if ainvnm != 0 {
rcond = (1 / ainvnm) / anorm
}
return rcond
}
if upper {
sl = impl.Dlatrs(blas.Upper, blas.Trans, blas.NonUnit, normin, n, a, lda, work, work[2*n:])
normin = true
su = impl.Dlatrs(blas.Upper, blas.NoTrans, blas.NonUnit, normin, n, a, lda, work, work[2*n:])
} else {
sl = impl.Dlatrs(blas.Lower, blas.NoTrans, blas.NonUnit, normin, n, a, lda, work, work[2*n:])
normin = true
su = impl.Dlatrs(blas.Lower, blas.Trans, blas.NonUnit, normin, n, a, lda, work, work[2*n:])
}
scale := sl * su
if scale != 1 {
ix := bi.Idamax(n, work, 1)
if scale == 0 || scale < math.Abs(work[ix])*smlnum {
return rcond
}
impl.Drscl(n, scale, work, 1)
}
}
}

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@@ -92,6 +92,10 @@ func TestDorm2r(t *testing.T) {
testlapack.Dorm2rTest(t, impl)
}
func TestDpocon(t *testing.T) {
testlapack.DpoconTest(t, impl)
}
func TestDpotf2(t *testing.T) {
testlapack.Dpotf2Test(t, impl)
}

131
testlapack/dpocon.go Normal file
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@@ -0,0 +1,131 @@
package testlapack
import (
"math"
"math/rand"
"testing"
"github.com/gonum/blas"
"github.com/gonum/blas/blas64"
"github.com/gonum/lapack"
)
type Dpoconer interface {
Dpotrfer
Dgeconer
Dlansy(norm lapack.MatrixNorm, uplo blas.Uplo, n int, a []float64, lda int, work []float64) float64
Dpocon(uplo blas.Uplo, n int, a []float64, lda int, anorm float64, work []float64, iwork []int) float64
}
func DpoconTest(t *testing.T, impl Dpoconer) {
for _, test := range []struct {
a []float64
n int
cond float64
uplo blas.Uplo
}{
{
a: []float64{
89, 59, 77,
0, 107, 59,
0, 0, 89,
},
uplo: blas.Upper,
n: 3,
cond: 0.050052137643379,
},
{
a: []float64{
89, 0, 0,
59, 107, 0,
77, 59, 89,
},
uplo: blas.Lower,
n: 3,
cond: 0.050052137643379,
},
} {
n := test.n
a := make([]float64, len(test.a))
copy(a, test.a)
lda := n
uplo := test.uplo
work := make([]float64, 3*n)
anorm := impl.Dlansy(lapack.MaxColumnSum, uplo, n, a, lda, work)
// Compute cholesky decomposition
ok := impl.Dpotrf(uplo, n, a, lda)
if !ok {
t.Errorf("Bad test, matrix not positive definite")
continue
}
iwork := make([]int, n)
cond := impl.Dpocon(uplo, n, a, lda, anorm, work, iwork)
if math.Abs(cond-test.cond) > 1e-14 {
t.Errorf("Cond mismatch. Want %v, got %v.", test.cond, cond)
}
}
bi := blas64.Implementation()
// Randomized tests compared against Dgecon.
for _, uplo := range []blas.Uplo{blas.Lower, blas.Upper} {
for _, test := range []struct {
n, lda int
}{
{3, 0},
{3, 5},
} {
for trial := 0; trial < 100; trial++ {
n := test.n
lda := test.lda
if lda == 0 {
lda = n
}
a := make([]float64, n*lda)
for i := range a {
a[i] = rand.NormFloat64()
}
// Multiply a by itself to make it symmetric positive definite.
aCopy := make([]float64, len(a))
copy(aCopy, a)
bi.Dgemm(blas.Trans, blas.NoTrans, n, n, n, 1, aCopy, lda, aCopy, lda, 0, a, lda)
aDense := make([]float64, len(a))
if uplo == blas.Upper {
for i := 0; i < n; i++ {
for j := i; j < n; j++ {
v := a[i*lda+j]
aDense[i*lda+j] = v
aDense[j*lda+i] = v
}
}
} else {
for i := 0; i < n; i++ {
for j := 0; j <= i; j++ {
v := a[i*lda+j]
aDense[i*lda+j] = v
aDense[j*lda+i] = v
}
}
}
work := make([]float64, 4*n)
iwork := make([]int, n)
anorm := impl.Dlansy(lapack.MaxColumnSum, uplo, n, a, lda, work)
ok := impl.Dpotrf(uplo, n, a, lda)
if !ok {
t.Errorf("Bad test, matrix not positive definite")
continue
}
got := impl.Dpocon(uplo, n, a, lda, anorm, work, iwork)
denseNorm := impl.Dlange(lapack.MaxColumnSum, n, n, aDense, lda, work)
ipiv := make([]int, n)
impl.Dgetrf(n, n, aDense, lda, ipiv)
want := impl.Dgecon(lapack.MaxColumnSum, n, aDense, lda, denseNorm, work, iwork)
if math.Abs(got-want) > 1e-14 {
t.Errorf("Cond mismatch. Want %v, got %v.", want, got)
}
}
}
}
}