OSDN Git Service

Merge pull request #201 from Bytom/v0.1
[bytom/vapor.git] / vendor / gonum.org / v1 / gonum / lapack / gonum / dsteqr.go
diff --git a/vendor/gonum.org/v1/gonum/lapack/gonum/dsteqr.go b/vendor/gonum.org/v1/gonum/lapack/gonum/dsteqr.go
deleted file mode 100644 (file)
index 0e1125e..0000000
+++ /dev/null
@@ -1,373 +0,0 @@
-// Copyright ©2016 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/blas/blas64"
-       "gonum.org/v1/gonum/lapack"
-)
-
-// Dsteqr computes the eigenvalues and optionally the eigenvectors of a symmetric
-// tridiagonal matrix using the implicit QL or QR method. The eigenvectors of a
-// full or band symmetric matrix can also be found if Dsytrd, Dsptrd, or Dsbtrd
-// have been used to reduce this matrix to tridiagonal form.
-//
-// d, on entry, contains the diagonal elements of the tridiagonal matrix. On exit,
-// d contains the eigenvalues in ascending order. d must have length n and
-// Dsteqr will panic otherwise.
-//
-// e, on entry, contains the off-diagonal elements of the tridiagonal matrix on
-// entry, and is overwritten during the call to Dsteqr. e must have length n-1 and
-// Dsteqr will panic otherwise.
-//
-// z, on entry, contains the n×n orthogonal matrix used in the reduction to
-// tridiagonal form if compz == lapack.OriginalEV. On exit, if
-// compz == lapack.OriginalEV, z contains the orthonormal eigenvectors of the
-// original symmetric matrix, and if compz == lapack.TridiagEV, z contains the
-// orthonormal eigenvectors of the symmetric tridiagonal matrix. z is not used
-// if compz == lapack.None.
-//
-// work must have length at least max(1, 2*n-2) if the eigenvectors are computed,
-// and Dsteqr will panic otherwise.
-//
-// Dsteqr is an internal routine. It is exported for testing purposes.
-func (impl Implementation) Dsteqr(compz lapack.EVComp, n int, d, e, z []float64, ldz int, work []float64) (ok bool) {
-       if n < 0 {
-               panic(nLT0)
-       }
-       if len(d) < n {
-               panic(badD)
-       }
-       if len(e) < n-1 {
-               panic(badE)
-       }
-       if compz != lapack.None && compz != lapack.TridiagEV && compz != lapack.OriginalEV {
-               panic(badEVComp)
-       }
-       if compz != lapack.None {
-               if len(work) < max(1, 2*n-2) {
-                       panic(badWork)
-               }
-               checkMatrix(n, n, z, ldz)
-       }
-
-       var icompz int
-       if compz == lapack.OriginalEV {
-               icompz = 1
-       } else if compz == lapack.TridiagEV {
-               icompz = 2
-       }
-
-       if n == 0 {
-               return true
-       }
-       if n == 1 {
-               if icompz == 2 {
-                       z[0] = 1
-               }
-               return true
-       }
-
-       bi := blas64.Implementation()
-
-       eps := dlamchE
-       eps2 := eps * eps
-       safmin := dlamchS
-       safmax := 1 / safmin
-       ssfmax := math.Sqrt(safmax) / 3
-       ssfmin := math.Sqrt(safmin) / eps2
-
-       // Compute the eigenvalues and eigenvectors of the tridiagonal matrix.
-       if icompz == 2 {
-               impl.Dlaset(blas.All, n, n, 0, 1, z, ldz)
-       }
-       const maxit = 30
-       nmaxit := n * maxit
-
-       jtot := 0
-
-       // Determine where the matrix splits and choose QL or QR iteration for each
-       // block, according to whether top or bottom diagonal element is smaller.
-       l1 := 0
-       nm1 := n - 1
-
-       type scaletype int
-       const (
-               down scaletype = iota + 1
-               up
-       )
-       var iscale scaletype
-
-       for {
-               if l1 > n-1 {
-                       // Order eigenvalues and eigenvectors.
-                       if icompz == 0 {
-                               impl.Dlasrt(lapack.SortIncreasing, n, d)
-                       } else {
-                               // TODO(btracey): Consider replacing this sort with a call to sort.Sort.
-                               for ii := 1; ii < n; ii++ {
-                                       i := ii - 1
-                                       k := i
-                                       p := d[i]
-                                       for j := ii; j < n; j++ {
-                                               if d[j] < p {
-                                                       k = j
-                                                       p = d[j]
-                                               }
-                                       }
-                                       if k != i {
-                                               d[k] = d[i]
-                                               d[i] = p
-                                               bi.Dswap(n, z[i:], ldz, z[k:], ldz)
-                                       }
-                               }
-                       }
-                       return true
-               }
-               if l1 > 0 {
-                       e[l1-1] = 0
-               }
-               var m int
-               if l1 <= nm1 {
-                       for m = l1; m < nm1; m++ {
-                               test := math.Abs(e[m])
-                               if test == 0 {
-                                       break
-                               }
-                               if test <= (math.Sqrt(math.Abs(d[m]))*math.Sqrt(math.Abs(d[m+1])))*eps {
-                                       e[m] = 0
-                                       break
-                               }
-                       }
-               }
-               l := l1
-               lsv := l
-               lend := m
-               lendsv := lend
-               l1 = m + 1
-               if lend == l {
-                       continue
-               }
-
-               // Scale submatrix in rows and columns L to Lend
-               anorm := impl.Dlanst(lapack.MaxAbs, lend-l+1, d[l:], e[l:])
-               switch {
-               case anorm == 0:
-                       continue
-               case anorm > ssfmax:
-                       iscale = down
-                       // Pretend that d and e are matrices with 1 column.
-                       impl.Dlascl(lapack.General, 0, 0, anorm, ssfmax, lend-l+1, 1, d[l:], 1)
-                       impl.Dlascl(lapack.General, 0, 0, anorm, ssfmax, lend-l, 1, e[l:], 1)
-               case anorm < ssfmin:
-                       iscale = up
-                       impl.Dlascl(lapack.General, 0, 0, anorm, ssfmin, lend-l+1, 1, d[l:], 1)
-                       impl.Dlascl(lapack.General, 0, 0, anorm, ssfmin, lend-l, 1, e[l:], 1)
-               }
-
-               // Choose between QL and QR.
-               if math.Abs(d[lend]) < math.Abs(d[l]) {
-                       lend = lsv
-                       l = lendsv
-               }
-               if lend > l {
-                       // QL Iteration. Look for small subdiagonal element.
-                       for {
-                               if l != lend {
-                                       for m = l; m < lend; m++ {
-                                               v := math.Abs(e[m])
-                                               if v*v <= (eps2*math.Abs(d[m]))*math.Abs(d[m+1])+safmin {
-                                                       break
-                                               }
-                                       }
-                               } else {
-                                       m = lend
-                               }
-                               if m < lend {
-                                       e[m] = 0
-                               }
-                               p := d[l]
-                               if m == l {
-                                       // Eigenvalue found.
-                                       l++
-                                       if l > lend {
-                                               break
-                                       }
-                                       continue
-                               }
-
-                               // If remaining matrix is 2×2, use Dlae2 to compute its eigensystem.
-                               if m == l+1 {
-                                       if icompz > 0 {
-                                               d[l], d[l+1], work[l], work[n-1+l] = impl.Dlaev2(d[l], e[l], d[l+1])
-                                               impl.Dlasr(blas.Right, lapack.Variable, lapack.Backward,
-                                                       n, 2, work[l:], work[n-1+l:], z[l:], ldz)
-                                       } else {
-                                               d[l], d[l+1] = impl.Dlae2(d[l], e[l], d[l+1])
-                                       }
-                                       e[l] = 0
-                                       l += 2
-                                       if l > lend {
-                                               break
-                                       }
-                                       continue
-                               }
-
-                               if jtot == nmaxit {
-                                       break
-                               }
-                               jtot++
-
-                               // Form shift
-                               g := (d[l+1] - p) / (2 * e[l])
-                               r := impl.Dlapy2(g, 1)
-                               g = d[m] - p + e[l]/(g+math.Copysign(r, g))
-                               s := 1.0
-                               c := 1.0
-                               p = 0.0
-
-                               // Inner loop
-                               for i := m - 1; i >= l; i-- {
-                                       f := s * e[i]
-                                       b := c * e[i]
-                                       c, s, r = impl.Dlartg(g, f)
-                                       if i != m-1 {
-                                               e[i+1] = r
-                                       }
-                                       g = d[i+1] - p
-                                       r = (d[i]-g)*s + 2*c*b
-                                       p = s * r
-                                       d[i+1] = g + p
-                                       g = c*r - b
-
-                                       // If eigenvectors are desired, then save rotations.
-                                       if icompz > 0 {
-                                               work[i] = c
-                                               work[n-1+i] = -s
-                                       }
-                               }
-                               // If eigenvectors are desired, then apply saved rotations.
-                               if icompz > 0 {
-                                       mm := m - l + 1
-                                       impl.Dlasr(blas.Right, lapack.Variable, lapack.Backward,
-                                               n, mm, work[l:], work[n-1+l:], z[l:], ldz)
-                               }
-                               d[l] -= p
-                               e[l] = g
-                       }
-               } else {
-                       // QR Iteration.
-                       // Look for small superdiagonal element.
-                       for {
-                               if l != lend {
-                                       for m = l; m > lend; m-- {
-                                               v := math.Abs(e[m-1])
-                                               if v*v <= (eps2*math.Abs(d[m])*math.Abs(d[m-1]) + safmin) {
-                                                       break
-                                               }
-                                       }
-                               } else {
-                                       m = lend
-                               }
-                               if m > lend {
-                                       e[m-1] = 0
-                               }
-                               p := d[l]
-                               if m == l {
-                                       // Eigenvalue found
-                                       l--
-                                       if l < lend {
-                                               break
-                                       }
-                                       continue
-                               }
-
-                               // If remaining matrix is 2×2, use Dlae2 to compute its eigenvalues.
-                               if m == l-1 {
-                                       if icompz > 0 {
-                                               d[l-1], d[l], work[m], work[n-1+m] = impl.Dlaev2(d[l-1], e[l-1], d[l])
-                                               impl.Dlasr(blas.Right, lapack.Variable, lapack.Forward,
-                                                       n, 2, work[m:], work[n-1+m:], z[l-1:], ldz)
-                                       } else {
-                                               d[l-1], d[l] = impl.Dlae2(d[l-1], e[l-1], d[l])
-                                       }
-                                       e[l-1] = 0
-                                       l -= 2
-                                       if l < lend {
-                                               break
-                                       }
-                                       continue
-                               }
-                               if jtot == nmaxit {
-                                       break
-                               }
-                               jtot++
-
-                               // Form shift.
-                               g := (d[l-1] - p) / (2 * e[l-1])
-                               r := impl.Dlapy2(g, 1)
-                               g = d[m] - p + (e[l-1])/(g+math.Copysign(r, g))
-                               s := 1.0
-                               c := 1.0
-                               p = 0.0
-
-                               // Inner loop.
-                               for i := m; i < l; i++ {
-                                       f := s * e[i]
-                                       b := c * e[i]
-                                       c, s, r = impl.Dlartg(g, f)
-                                       if i != m {
-                                               e[i-1] = r
-                                       }
-                                       g = d[i] - p
-                                       r = (d[i+1]-g)*s + 2*c*b
-                                       p = s * r
-                                       d[i] = g + p
-                                       g = c*r - b
-
-                                       // If eigenvectors are desired, then save rotations.
-                                       if icompz > 0 {
-                                               work[i] = c
-                                               work[n-1+i] = s
-                                       }
-                               }
-
-                               // If eigenvectors are desired, then apply saved rotations.
-                               if icompz > 0 {
-                                       mm := l - m + 1
-                                       impl.Dlasr(blas.Right, lapack.Variable, lapack.Forward,
-                                               n, mm, work[m:], work[n-1+m:], z[m:], ldz)
-                               }
-                               d[l] -= p
-                               e[l-1] = g
-                       }
-               }
-
-               // Undo scaling if necessary.
-               switch iscale {
-               case down:
-                       // Pretend that d and e are matrices with 1 column.
-                       impl.Dlascl(lapack.General, 0, 0, ssfmax, anorm, lendsv-lsv+1, 1, d[lsv:], 1)
-                       impl.Dlascl(lapack.General, 0, 0, ssfmax, anorm, lendsv-lsv, 1, e[lsv:], 1)
-               case up:
-                       impl.Dlascl(lapack.General, 0, 0, ssfmin, anorm, lendsv-lsv+1, 1, d[lsv:], 1)
-                       impl.Dlascl(lapack.General, 0, 0, ssfmin, anorm, lendsv-lsv, 1, e[lsv:], 1)
-               }
-
-               // Check for no convergence to an eigenvalue after a total of n*maxit iterations.
-               if jtot >= nmaxit {
-                       break
-               }
-       }
-       for i := 0; i < n-1; i++ {
-               if e[i] != 0 {
-                       return false
-               }
-       }
-       return true
-}