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lapack,lapack64: remove Dlansb and Dlantb from Float64

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These two routines are not provided by LAPACKE and therefore
should not be part of the Float64 interface.

Closes #1428
This commit is contained in:
Vladimir Chalupecky
2020-08-19 08:01:46 +02:00
committed by Vladimír Chalupecký
parent ccfe840075
commit 085e2bc63c
2 changed files with 0 additions and 17 deletions
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15
lapack/lapack64/lapack64.go
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@@ -409,14 +409,6 @@ func Lange(norm lapack.MatrixNorm, a blas64.General, work []float64) float64 {
return lapack64.Dlange(norm, a.Rows, a.Cols, a.Data, max(1, a.Stride), work)
}
// Lansb computes the specified norm of an n×n symmetric band matrix. If
// norm == lapack.MaxColumnSum or norm == lapack.MaxRowSum, work must have length
// at least n and this function will panic otherwise.
// There are no restrictions on work for the other matrix norms.
func Lansb(norm lapack.MatrixNorm, a blas64.SymmetricBand, work []float64) float64 {
return lapack64.Dlansb(norm, a.Uplo, a.N, a.K, a.Data, max(1, a.Stride), work)
}
// Lansy computes the specified norm of an n×n symmetric matrix. If
// norm == lapack.MaxColumnSum or norm == lapack.MaxRowSum, work must have length
// at least n and this function will panic otherwise.
@@ -425,13 +417,6 @@ func Lansy(norm lapack.MatrixNorm, a blas64.Symmetric, work []float64) float64 {
return lapack64.Dlansy(norm, a.Uplo, a.N, a.Data, max(1, a.Stride), work)
}
// Lantb computes the specified norm of an n×n triangular band matrix A. If
// norm == lapack.MaxColumnSum work must have length at least n and this function
// will panic otherwise. There are no restrictions on work for the other matrix norms.
func Lantb(norm lapack.MatrixNorm, a blas64.TriangularBand, work []float64) float64 {
return lapack64.Dlantb(norm, a.Uplo, a.Diag, a.N, a.K, a.Data, max(1, a.Stride), work)
}
// Lantr computes the specified norm of an m×n trapezoidal matrix A. If
// norm == lapack.MaxColumnSum work must have length at least n and this function
// will panic otherwise. There are no restrictions on work for the other matrix norms.