init delete the pow related (#55)

[bytom/vapor.git] / vendor / gonum.org / v1 / gonum / lapack / gonum / dorghr.go

diff --git a/vendor/gonum.org/v1/gonum/lapack/gonum/dorghr.go b/vendor/gonum.org/v1/gonum/lapack/gonum/dorghr.go
deleted file mode 100644 (file)
index b7ea7b2..0000000
--- a/vendor/gonum.org/v1/gonum/lapack/gonum/dorghr.go
+++ /dev/null
@@ -1,93 +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
-
-// Dorghr generates an n×n orthogonal matrix Q which is defined as the product
-// of ihi-ilo elementary reflectors:
-//  Q = H_{ilo} H_{ilo+1} ... H_{ihi-1}.
-//
-// a and lda represent an n×n matrix that contains the elementary reflectors, as
-// returned by Dgehrd. On return, a is overwritten by the n×n orthogonal matrix
-// Q. Q will be equal to the identity matrix except in the submatrix
-// Q[ilo+1:ihi+1,ilo+1:ihi+1].
-//
-// ilo and ihi must have the same values as in the previous call of Dgehrd. It
-// must hold that
-//  0 <= ilo <= ihi < n,  if n > 0,
-//  ilo = 0, ihi = -1,    if n == 0.
-//
-// tau contains the scalar factors of the elementary reflectors, as returned by
-// Dgehrd. tau must have length n-1.
-//
-// work must have length at least max(1,lwork) and lwork must be at least
-// ihi-ilo. For optimum performance lwork must be at least (ihi-ilo)*nb where nb
-// is the optimal blocksize. On return, work[0] will contain the optimal value
-// of lwork.
-//
-// If lwork == -1, instead of performing Dorghr, only the optimal value of lwork
-// will be stored into work[0].
-//
-// If any requirement on input sizes is not met, Dorghr will panic.
-//
-// Dorghr is an internal routine. It is exported for testing purposes.
-func (impl Implementation) Dorghr(n, ilo, ihi int, a []float64, lda int, tau, work []float64, lwork int) {
-       checkMatrix(n, n, a, lda)
-       nh := ihi - ilo
-       switch {
-       case ilo < 0 || max(1, n) <= ilo:
-               panic(badIlo)
-       case ihi < min(ilo, n-1) || n <= ihi:
-               panic(badIhi)
-       case lwork < max(1, nh) && lwork != -1:
-               panic(badWork)
-       case len(work) < max(1, lwork):
-               panic(shortWork)
-       }
-
-       lwkopt := max(1, nh) * impl.Ilaenv(1, "DORGQR", " ", nh, nh, nh, -1)
-       if lwork == -1 {
-               work[0] = float64(lwkopt)
-               return
-       }
-
-       // Quick return if possible.
-       if n == 0 {
-               work[0] = 1
-               return
-       }
-
-       // Shift the vectors which define the elementary reflectors one column
-       // to the right.
-       for i := ilo + 2; i < ihi+1; i++ {
-               copy(a[i*lda+ilo+1:i*lda+i], a[i*lda+ilo:i*lda+i-1])
-       }
-       // Set the first ilo+1 and the last n-ihi-1 rows and columns to those of
-       // the identity matrix.
-       for i := 0; i < ilo+1; i++ {
-               for j := 0; j < n; j++ {
-                       a[i*lda+j] = 0
-               }
-               a[i*lda+i] = 1
-       }
-       for i := ilo + 1; i < ihi+1; i++ {
-               for j := 0; j <= ilo; j++ {
-                       a[i*lda+j] = 0
-               }
-               for j := i; j < n; j++ {
-                       a[i*lda+j] = 0
-               }
-       }
-       for i := ihi + 1; i < n; i++ {
-               for j := 0; j < n; j++ {
-                       a[i*lda+j] = 0
-               }
-               a[i*lda+i] = 1
-       }
-       if nh > 0 {
-               // Generate Q[ilo+1:ihi+1,ilo+1:ihi+1].
-               impl.Dorgqr(nh, nh, nh, a[(ilo+1)*lda+ilo+1:], lda, tau[ilo:ihi], work, lwork)
-       }
-       work[0] = float64(lwkopt)
-}