Merge pull request #201 from Bytom/v0.1

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

diff --git a/vendor/gonum.org/v1/gonum/lapack/gonum/dgecon.go b/vendor/gonum.org/v1/gonum/lapack/gonum/dgecon.go
deleted file mode 100644 (file)
index 04e0153..0000000
--- a/vendor/gonum.org/v1/gonum/lapack/gonum/dgecon.go
+++ /dev/null
@@ -1,81 +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 (
-       "math"
-
-       "gonum.org/v1/gonum/blas"
-       "gonum.org/v1/gonum/blas/blas64"
-       "gonum.org/v1/gonum/lapack"
-)
-
-// Dgecon estimates the reciprocal of the condition number of the n×n matrix A
-// given the LU decomposition of the matrix. The condition number computed may
-// be based on the 1-norm or the ∞-norm.
-//
-// The slice a contains the result of the LU decomposition of A as computed by Dgetrf.
-//
-// anorm is the corresponding 1-norm or ∞-norm of the original matrix A.
-//
-// work is a temporary data slice of length at least 4*n and Dgecon will panic otherwise.
-//
-// iwork is a temporary data slice of length at least n and Dgecon will panic otherwise.
-func (impl Implementation) Dgecon(norm lapack.MatrixNorm, n int, a []float64, lda int, anorm float64, work []float64, iwork []int) float64 {
-       checkMatrix(n, n, a, lda)
-       if norm != lapack.MaxColumnSum && norm != lapack.MaxRowSum {
-               panic(badNorm)
-       }
-       if len(work) < 4*n {
-               panic(badWork)
-       }
-       if len(iwork) < n {
-               panic(badWork)
-       }
-
-       if n == 0 {
-               return 1
-       } else if anorm == 0 {
-               return 0
-       }
-
-       bi := blas64.Implementation()
-       var rcond, ainvnm float64
-       var kase int
-       var normin bool
-       isave := new([3]int)
-       onenrm := norm == lapack.MaxColumnSum
-       smlnum := dlamchS
-       kase1 := 2
-       if onenrm {
-               kase1 = 1
-       }
-       for {
-               ainvnm, kase = impl.Dlacn2(n, work[n:], work, iwork, ainvnm, kase, isave)
-               if kase == 0 {
-                       if ainvnm != 0 {
-                               rcond = (1 / ainvnm) / anorm
-                       }
-                       return rcond
-               }
-               var sl, su float64
-               if kase == kase1 {
-                       sl = impl.Dlatrs(blas.Lower, blas.NoTrans, blas.Unit, normin, n, a, lda, work, work[2*n:])
-                       su = impl.Dlatrs(blas.Upper, blas.NoTrans, blas.NonUnit, normin, n, a, lda, work, work[3*n:])
-               } else {
-                       su = impl.Dlatrs(blas.Upper, blas.Trans, blas.NonUnit, normin, n, a, lda, work, work[3*n:])
-                       sl = impl.Dlatrs(blas.Lower, blas.Trans, blas.Unit, normin, n, a, lda, work, work[2*n:])
-               }
-               scale := sl * su
-               normin = true
-               if scale != 1 {
-                       ix := bi.Idamax(n, work, 1)
-                       if scale == 0 || scale < math.Abs(work[ix])*smlnum {
-                               return rcond
-                       }
-                       impl.Drscl(n, scale, work, 1)
-               }
-       }
-}