eigen/blas/level1_cplx_impl.h

// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, 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.
//
// Eigen 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 Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.

#include "common.h"

struct scalar_norm1_op {
  typedef RealScalar result_type;
  EIGEN_EMPTY_STRUCT_CTOR(scalar_norm1_op)
  inline RealScalar operator() (const Scalar& a) const { return internal::norm1(a); }
};
namespace Eigen {
  namespace internal {
    template<> struct functor_traits<scalar_norm1_op >
    {
      enum { Cost = 3 * NumTraits<Scalar>::AddCost, PacketAccess = 0 };
    };
  }
}

// computes the sum of magnitudes of all vector elements or, for a complex vector x, the sum
// res = |Rex1| + |Imx1| + |Rex2| + |Imx2| + ... + |Rexn| + |Imxn|, where x is a vector of order n
RealScalar EIGEN_CAT(EIGEN_CAT(REAL_SCALAR_SUFFIX,SCALAR_SUFFIX),asum_)(int *n, RealScalar *px, int *incx)
{
//   std::cerr << "__asum " << *n << " " << *incx << "\n";
  Complex* x = reinterpret_cast<Complex*>(px);

  if(*n<=0) return 0;

  if(*incx==1)  return vector(x,*n).unaryExpr<scalar_norm1_op>().sum();
  else          return vector(x,*n,std::abs(*incx)).unaryExpr<scalar_norm1_op>().sum();
}

// computes a dot product of a conjugated vector with another vector.
int EIGEN_BLAS_FUNC(dotcw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar* pres)
{
//   std::cerr << "_dotc " << *n << " " << *incx << " " << *incy << "\n";

  if(*n<=0) return 0;

  Scalar* x = reinterpret_cast<Scalar*>(px);
  Scalar* y = reinterpret_cast<Scalar*>(py);
  Scalar* res = reinterpret_cast<Scalar*>(pres);

  if(*incx==1 && *incy==1)    *res = (vector(x,*n).dot(vector(y,*n)));
  else if(*incx>0 && *incy>0) *res = (vector(x,*n,*incx).dot(vector(y,*n,*incy)));
  else if(*incx<0 && *incy>0) *res = (vector(x,*n,-*incx).reverse().dot(vector(y,*n,*incy)));
  else if(*incx>0 && *incy<0) *res = (vector(x,*n,*incx).dot(vector(y,*n,-*incy).reverse()));
  else if(*incx<0 && *incy<0) *res = (vector(x,*n,-*incx).reverse().dot(vector(y,*n,-*incy).reverse()));
  return 0;
}

// computes a vector-vector dot product without complex conjugation.
int EIGEN_BLAS_FUNC(dotuw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar* pres)
{
//   std::cerr << "_dotu " << *n << " " << *incx << " " << *incy << "\n";

  if(*n<=0) return 0;

  Scalar* x = reinterpret_cast<Scalar*>(px);
  Scalar* y = reinterpret_cast<Scalar*>(py);
  Scalar* res = reinterpret_cast<Scalar*>(pres);

  if(*incx==1 && *incy==1)    *res = (vector(x,*n).cwiseProduct(vector(y,*n))).sum();
  else if(*incx>0 && *incy>0) *res = (vector(x,*n,*incx).cwiseProduct(vector(y,*n,*incy))).sum();
  else if(*incx<0 && *incy>0) *res = (vector(x,*n,-*incx).reverse().cwiseProduct(vector(y,*n,*incy))).sum();
  else if(*incx>0 && *incy<0) *res = (vector(x,*n,*incx).cwiseProduct(vector(y,*n,-*incy).reverse())).sum();
  else if(*incx<0 && *incy<0) *res = (vector(x,*n,-*incx).reverse().cwiseProduct(vector(y,*n,-*incy).reverse())).sum();
  return 0;
}

RealScalar EIGEN_CAT(EIGEN_CAT(REAL_SCALAR_SUFFIX,SCALAR_SUFFIX),nrm2_)(int *n, RealScalar *px, int *incx)
{
//   std::cerr << "__nrm2 " << *n << " " << *incx << "\n";
  if(*n<=0) return 0;

  Scalar* x = reinterpret_cast<Scalar*>(px);

  if(*incx==1)
    return vector(x,*n).stableNorm();

  return vector(x,*n,*incx).stableNorm();
}

int EIGEN_CAT(EIGEN_CAT(SCALAR_SUFFIX,REAL_SCALAR_SUFFIX),rot_)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar *pc, RealScalar *ps)
{
  if(*n<=0) return 0;

  Scalar* x = reinterpret_cast<Scalar*>(px);
  Scalar* y = reinterpret_cast<Scalar*>(py);
  RealScalar c = *pc;
  RealScalar s = *ps;

  StridedVectorType vx(vector(x,*n,std::abs(*incx)));
  StridedVectorType vy(vector(y,*n,std::abs(*incy)));

  Reverse<StridedVectorType> rvx(vx);
  Reverse<StridedVectorType> rvy(vy);

  // TODO implement mixed real-scalar rotations
       if(*incx<0 && *incy>0) internal::apply_rotation_in_the_plane(rvx, vy, JacobiRotation<Scalar>(c,s));
  else if(*incx>0 && *incy<0) internal::apply_rotation_in_the_plane(vx, rvy, JacobiRotation<Scalar>(c,s));
  else                        internal::apply_rotation_in_the_plane(vx, vy,  JacobiRotation<Scalar>(c,s));

  return 0;
}

int EIGEN_CAT(EIGEN_CAT(SCALAR_SUFFIX,REAL_SCALAR_SUFFIX),scal_)(int *n, RealScalar *palpha, RealScalar *px, int *incx)
{
  if(*n<=0) return 0;

  Scalar* x = reinterpret_cast<Scalar*>(px);
  RealScalar alpha = *palpha;

//   std::cerr << "__scal " << *n << " " << alpha << " " << *incx << "\n";

  if(*incx==1)  vector(x,*n) *= alpha;
  else          vector(x,*n,std::abs(*incx)) *= alpha;

  return 0;
}