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NAG[f16udc] NAG[nag_zhp_norm] -  -norm,  -norm, Frobenius norm, largest absolute element, complex Hermitian matrix, packed storage
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Calling Sequence
f16udc(norm_type, uplo, ap, r, 'n'=n, 'fail'=fail)
nag_zhp_norm(. . .)
Parameters
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norm_type - String;
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On entry: specifies the value to be returned.
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  or "Nag_OneNorm" The 1-norm.
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 The  -norm.
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 The Frobenius (or Euclidean) norm.
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 The value ![max |a[ij]|](/support/helpjp/helpview.aspx?si=10239/file08348/math41.png) (not a norm).
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Constraint:   "Nag_OneNorm", "Nag_InfNorm", "Nag_FrobeniusNorm" or "Nag_MaxNorm". .
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uplo - String;
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On entry: specifies whether the upper or lower triangular part of  is stored.
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 The upper triangular part of  is stored.
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 The lower triangular part of  is stored.
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Constraint:   "Nag_Upper" or "Nag_Lower". .
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ap - Vector(1..dim, datatype=complex[8]);
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Note: the dimension, dim, of the array ap must be at least  .
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r - assignable;
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Note: On exit the variable r will have a value of type float.
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On exit: the value of the norm specified by norm.
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'n'=n - integer; (optional)
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Default value: the first dimension of the array ap.
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On entry:  , the order of the matrix  .
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Constraint:  . .
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'fail'=fail - table; (optional)
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The NAG error argument, see the documentation for NagError.
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Description
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Purpose
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nag_zhp_norm (f16udc) calculates the value of the 1-norm, the  -norm, the Frobenius norm or the maximum absolute value of the elements of a complex  by  Hermitian matrix, stored in packed form.
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Description
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Given a complex  by  Hermitian matrix,  , in packed storage, nag_zhp_norm (f16udc) calculates one of the values given by
![||A||[F]=((∑),(∑)|a[ij]|^2)^(1/2)](/support/helpjp/helpview.aspx?si=10239/file08348/math220.png)
or
![max |a[ij]|](/support/helpjp/helpview.aspx?si=10239/file08348/math224.png)
Note that, since  is symmetric,  = LinearAlgebra[Norm](A, infinity)](/support/helpjp/helpview.aspx?si=10239/file08348/math229.png) .
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Error Indicators and Warnings
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"NE_ALLOC_FAIL"
Dynamic memory allocation failed.
"NE_BAD_PARAM"
On entry, argument  had an illegal value.
"NE_INT"
On entry,  . Constraint:  .
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Accuracy
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The BLAS standard requires accurate implementations which avoid unnecessary over/underflow (see Section 2.7 of The BLAS Technical Forum Standard (2001)).
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Examples
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norm_type := "Nag_OneNorm":
uplo := "Nag_Lower":
n := 4:
ap := Vector([3.23 +0*I, 1.51 +1.92*I, 3.58 +0*I, 1.9 -0.84*I, -0.23 -1.11*I, 4.09 +0*I, 0.42 -2.5*I, -1.18 -1.37*I, 2.33 +0.14*I, 4.29 +0*I], datatype=complex[8], order='C_order'):
NAG:-f16udc(norm_type, uplo, ap, r, 'n' = n):
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