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/*
* Copyright (c) 2009 Samit Basu
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
*/
#include "Array.hpp"
#include "LAPACK.hpp"
//!
//@Module XNRM2 BLAS Norm Calculation
//@@Section ARRAY
//@@Usage
//Calculates the 2-norm of a vector. The syntax for its use
//is
//@[
// y = xnrm2(A)
//@]
//where @|A| is the n-dimensional array to analyze. This form
//uses the underlying BLAS implementation to compute the 2-norm.
//@@Signature
//function xnrm2 XNrm2Function
//inputs A
//outputs y
//!
ArrayVector XNrm2Function(int nargout, const ArrayVector& arg) {
int one = 1;
if (arg.size() < 1)
throw Exception("xnrm2 requires at least one argument");
Array A(arg[0].asDenseArray());
if (A.dataClass() != Float)
A = A.toClass(Double);
int len = int(A.length());
switch (A.dataClass()) {
default:
throw Exception("xnrm2 does not support arguments of type " + A.className());
case Float:
if (A.allReal())
return ArrayVector(Array(snrm2_(&len,A.real<float>().data(),&one)).toClass(Float));
else
return ArrayVector(Array(scnrm2_(&len,A.fortran<float>().data(),&one)).toClass(Float));
case Double:
if (A.allReal())
return ArrayVector(Array(dnrm2_(&len,A.real<double>().data(),&one)));
else
return ArrayVector(Array(dznrm2_(&len,A.fortran<double>().data(),&one)));
}
}
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