init delete the pow related (#55)

[bytom/vapor.git] / vendor / gonum.org / v1 / gonum / lapack / gonum / dorg2r.go

diff --git a/vendor/gonum.org/v1/gonum/lapack/gonum/dorg2r.go b/vendor/gonum.org/v1/gonum/lapack/gonum/dorg2r.go
deleted file mode 100644 (file)
index d752501..0000000
--- a/vendor/gonum.org/v1/gonum/lapack/gonum/dorg2r.go
+++ /dev/null
@@ -1,65 +0,0 @@
-// 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 (
-       "gonum.org/v1/gonum/blas"
-       "gonum.org/v1/gonum/blas/blas64"
-)
-
-// Dorg2r generates an m×n matrix Q with orthonormal columns defined by the
-// product of elementary reflectors as computed by Dgeqrf.
-//  Q = H_0 * H_1 * ... * H_{k-1}
-// len(tau) >= k, 0 <= k <= n, 0 <= n <= m, len(work) >= n.
-// Dorg2r will panic if these conditions are not met.
-//
-// Dorg2r is an internal routine. It is exported for testing purposes.
-func (impl Implementation) Dorg2r(m, n, k int, a []float64, lda int, tau []float64, work []float64) {
-       checkMatrix(m, n, a, lda)
-       if len(tau) < k {
-               panic(badTau)
-       }
-       if len(work) < n {
-               panic(badWork)
-       }
-       if k > n {
-               panic(kGTN)
-       }
-       if n > m {
-               panic(mLTN)
-       }
-       if len(work) < n {
-               panic(badWork)
-       }
-       if n == 0 {
-               return
-       }
-       bi := blas64.Implementation()
-       // Initialize columns k+1:n to columns of the unit matrix.
-       for l := 0; l < m; l++ {
-               for j := k; j < n; j++ {
-                       a[l*lda+j] = 0
-               }
-       }
-       for j := k; j < n; j++ {
-               a[j*lda+j] = 1
-       }
-       for i := k - 1; i >= 0; i-- {
-               for i := range work {
-                       work[i] = 0
-               }
-               if i < n-1 {
-                       a[i*lda+i] = 1
-                       impl.Dlarf(blas.Left, m-i, n-i-1, a[i*lda+i:], lda, tau[i], a[i*lda+i+1:], lda, work)
-               }
-               if i < m-1 {
-                       bi.Dscal(m-i-1, -tau[i], a[(i+1)*lda+i:], lda)
-               }
-               a[i*lda+i] = 1 - tau[i]
-               for l := 0; l < i; l++ {
-                       a[l*lda+i] = 0
-               }
-       }
-}