blob: a67a68e718661316bd3dc970ee295709bd734a68 [file] [log] [blame]
// 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 gonum
import (
"math"
"gonum.org/v1/gonum/internal/asm/f64"
"gonum.org/v1/gonum/lapack"
)
// Dlangb returns the given norm of an m×n band matrix with kl sub-diagonals and
// ku super-diagonals.
func (impl Implementation) Dlangb(norm lapack.MatrixNorm, m, n, kl, ku int, ab []float64, ldab int) float64 {
ncol := kl + 1 + ku
switch {
case norm != lapack.MaxAbs && norm != lapack.MaxRowSum && norm != lapack.MaxColumnSum && norm != lapack.Frobenius:
panic(badNorm)
case m < 0:
panic(mLT0)
case n < 0:
panic(nLT0)
case kl < 0:
panic(klLT0)
case ku < 0:
panic(kuLT0)
case ldab < ncol:
panic(badLdA)
}
// Quick return if possible.
if m == 0 || n == 0 {
return 0
}
switch {
case len(ab) < min(m, n+kl)*ldab:
panic(shortAB)
}
var value float64
switch norm {
case lapack.MaxAbs:
for i := 0; i < min(m, n+kl); i++ {
l := max(0, kl-i)
u := min(n+kl-i, ncol)
for _, aij := range ab[i*ldab+l : i*ldab+u] {
aij = math.Abs(aij)
if aij > value || math.IsNaN(aij) {
value = aij
}
}
}
case lapack.MaxRowSum:
for i := 0; i < min(m, n+kl); i++ {
l := max(0, kl-i)
u := min(n+kl-i, ncol)
sum := f64.L1NormUnitary(ab[i*ldab+l : i*ldab+u])
if sum > value || math.IsNaN(sum) {
value = sum
}
}
case lapack.MaxColumnSum:
for j := 0; j < min(m+ku, n); j++ {
jb := min(kl+j, ncol-1)
ib := max(0, j-ku)
jlen := min(j+kl, m-1) - ib + 1
sum := f64.L1NormInc(ab[ib*ldab+jb:], jlen, max(1, ldab-1))
if sum > value || math.IsNaN(sum) {
value = sum
}
}
case lapack.Frobenius:
scale := 0.0
sum := 1.0
for i := 0; i < min(m, n+kl); i++ {
l := max(0, kl-i)
u := min(n+kl-i, ncol)
ilen := u - l
scale, sum = impl.Dlassq(ilen, ab[i*ldab+l:], 1, scale, sum)
}
value = scale * math.Sqrt(sum)
}
return value
}