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// Copyright ©2015 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 gonum
import (
"math"
"gonum.org/v1/gonum/blas"
"gonum.org/v1/gonum/lapack"
)
// Dlansy computes the specified norm of an n×n symmetric matrix. If
// norm == lapack.MaxColumnSum or norm == lapackMaxRowSum work must have length
// at least n, otherwise work is unused.
func (impl Implementation) Dlansy(norm lapack.MatrixNorm, uplo blas.Uplo, n int, a []float64, lda int, work []float64) float64 {
checkMatrix(n, n, a, lda)
switch norm {
case lapack.MaxRowSum, lapack.MaxColumnSum, lapack.NormFrob, lapack.MaxAbs:
default:
panic(badNorm)
}
if (norm == lapack.MaxColumnSum || norm == lapack.MaxRowSum) && len(work) < n {
panic(badWork)
}
if uplo != blas.Upper && uplo != blas.Lower {
panic(badUplo)
}
if n == 0 {
return 0
}
switch norm {
default:
panic("unreachable")
case lapack.MaxAbs:
if uplo == blas.Upper {
var max float64
for i := 0; i < n; i++ {
for j := i; j < n; j++ {
v := math.Abs(a[i*lda+j])
if math.IsNaN(v) {
return math.NaN()
}
if v > max {
max = v
}
}
}
return max
}
var max float64
for i := 0; i < n; i++ {
for j := 0; j <= i; j++ {
v := math.Abs(a[i*lda+j])
if math.IsNaN(v) {
return math.NaN()
}
if v > max {
max = v
}
}
}
return max
case lapack.MaxRowSum, lapack.MaxColumnSum:
// A symmetric matrix has the same 1-norm and ∞-norm.
for i := 0; i < n; i++ {
work[i] = 0
}
if uplo == blas.Upper {
for i := 0; i < n; i++ {
work[i] += math.Abs(a[i*lda+i])
for j := i + 1; j < n; j++ {
v := math.Abs(a[i*lda+j])
work[i] += v
work[j] += v
}
}
} else {
for i := 0; i < n; i++ {
for j := 0; j < i; j++ {
v := math.Abs(a[i*lda+j])
work[i] += v
work[j] += v
}
work[i] += math.Abs(a[i*lda+i])
}
}
var max float64
for i := 0; i < n; i++ {
v := work[i]
if math.IsNaN(v) {
return math.NaN()
}
if v > max {
max = v
}
}
return max
case lapack.NormFrob:
if uplo == blas.Upper {
var sum float64
for i := 0; i < n; i++ {
v := a[i*lda+i]
sum += v * v
for j := i + 1; j < n; j++ {
v := a[i*lda+j]
sum += 2 * v * v
}
}
return math.Sqrt(sum)
}
var sum float64
for i := 0; i < n; i++ {
for j := 0; j < i; j++ {
v := a[i*lda+j]
sum += 2 * v * v
}
v := a[i*lda+i]
sum += v * v
}
return math.Sqrt(sum)
}
}