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345 lines
11 KiB
C++
345 lines
11 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "common.h"
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int EIGEN_BLAS_FUNC(axpy)(int *n, RealScalar *palpha, RealScalar *px, int *incx, RealScalar *py, int *incy)
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{
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* y = reinterpret_cast<Scalar*>(py);
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Scalar alpha = *reinterpret_cast<Scalar*>(palpha);
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// std::cerr << "axpy " << *n << " " << alpha << " " << *incx << " " << *incy << "\n";
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if(*incx==1 && *incy==1) vector(y,*n) += alpha * vector(x,*n);
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else if(*incx>0 && *incy>0) vector(y,*n,*incy) += alpha * vector(x,*n,*incx);
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else if(*incx>0 && *incy<0) vector(y,*n,-*incy).reverse() += alpha * vector(x,*n,*incx);
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else if(*incx<0 && *incy>0) vector(y,*n,*incy) += alpha * vector(x,*n,-*incx).reverse();
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else if(*incx<0 && *incy<0) vector(y,*n,-*incy).reverse() += alpha * vector(x,*n,-*incx).reverse();
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return 0;
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}
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#if !ISCOMPLEX
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// computes the sum of magnitudes of all vector elements or, for a complex vector x, the sum
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// res = |Rex1| + |Imx1| + |Rex2| + |Imx2| + ... + |Rexn| + |Imxn|, where x is a vector of order n
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RealScalar EIGEN_BLAS_FUNC(asum)(int *n, RealScalar *px, int *incx)
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{
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// std::cerr << "_asum " << *n << " " << *incx << "\n";
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Scalar* x = reinterpret_cast<Scalar*>(px);
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if(*n<=0) return 0;
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if(*incx==1) return vector(x,*n).cwiseAbs().sum();
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else return vector(x,*n,std::abs(*incx)).cwiseAbs().sum();
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}
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#else
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struct ei_scalar_norm1_op {
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typedef RealScalar result_type;
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EIGEN_EMPTY_STRUCT_CTOR(ei_scalar_norm1_op)
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inline RealScalar operator() (const Scalar& a) const { return ei_norm1(a); }
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};
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namespace Eigen {
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template<> struct ei_functor_traits<ei_scalar_norm1_op >
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{
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enum { Cost = 3 * NumTraits<Scalar>::AddCost, PacketAccess = 0 };
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};
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}
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RealScalar EIGEN_CAT(EIGEN_CAT(REAL_SCALAR_SUFFIX,SCALAR_SUFFIX),asum_)(int *n, RealScalar *px, int *incx)
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{
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// std::cerr << "__asum " << *n << " " << *incx << "\n";
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Complex* x = reinterpret_cast<Complex*>(px);
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if(*n<=0) return 0;
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if(*incx==1) return vector(x,*n).unaryExpr<ei_scalar_norm1_op>().sum();
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else return vector(x,*n,std::abs(*incx)).unaryExpr<ei_scalar_norm1_op>().sum();
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}
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#endif
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int EIGEN_BLAS_FUNC(copy)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy)
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{
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// std::cerr << "_copy " << *n << " " << *incx << " " << *incy << "\n";
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* y = reinterpret_cast<Scalar*>(py);
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if(*incx==1 && *incy==1) vector(y,*n) = vector(x,*n);
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else if(*incx>0 && *incy>0) vector(y,*n,*incy) = vector(x,*n,*incx);
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else if(*incx>0 && *incy<0) vector(y,*n,-*incy).reverse() = vector(x,*n,*incx);
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else if(*incx<0 && *incy>0) vector(y,*n,*incy) = vector(x,*n,-*incx).reverse();
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else if(*incx<0 && *incy<0) vector(y,*n,-*incy).reverse() = vector(x,*n,-*incx).reverse();
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return 0;
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}
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// computes a vector-vector dot product.
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Scalar EIGEN_BLAS_FUNC(dot)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy)
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{
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// std::cerr << "_dot " << *n << " " << *incx << " " << *incy << "\n";
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if(*n<=0)
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return 0;
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* y = reinterpret_cast<Scalar*>(py);
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if(*incx==1 && *incy==1) return (vector(x,*n).cwiseProduct(vector(y,*n))).sum();
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else if(*incx>0 && *incy>0) return (vector(x,*n,*incx).cwiseProduct(vector(y,*n,*incy))).sum();
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else if(*incx<0 && *incy>0) return (vector(x,*n,-*incx).reverse().cwiseProduct(vector(y,*n,*incy))).sum();
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else if(*incx>0 && *incy<0) return (vector(x,*n,*incx).cwiseProduct(vector(y,*n,-*incy).reverse())).sum();
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else if(*incx<0 && *incy<0) return (vector(x,*n,-*incx).reverse().cwiseProduct(vector(y,*n,-*incy).reverse())).sum();
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else return 0;
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}
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int EIGEN_CAT(EIGEN_CAT(i,SCALAR_SUFFIX),amax_)(int *n, RealScalar *px, int *incx)
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{
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// std::cerr << "i_amax " << *n << " " << *incx << "\n";
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Scalar* x = reinterpret_cast<Scalar*>(px);
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if(*n<=0)
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return 0;
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int ret;
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if(*incx==1) vector(x,*n).cwiseAbs().maxCoeff(&ret);
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else vector(x,*n,std::abs(*incx)).cwiseAbs().maxCoeff(&ret);
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return ret+1;
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}
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/*
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// computes a vector-vector dot product with extended precision.
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Scalar EIGEN_BLAS_FUNC(sdot)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy)
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{
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// TODO
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* y = reinterpret_cast<Scalar*>(py);
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if(*incx==1 && *incy==1)
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return vector(x,*n).dot(vector(y,*n));
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return vector(x,*n,*incx).dot(vector(y,*n,*incy));
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}
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*/
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#if ISCOMPLEX
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// computes a dot product of a conjugated vector with another vector.
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void EIGEN_BLAS_FUNC(dotc)(RealScalar* dot, int *n, RealScalar *px, int *incx, RealScalar *py, int *incy)
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{
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std::cerr << "Eigen BLAS: _dotc is not implemented yet\n";
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return;
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// TODO: find how to return a complex to fortran
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// std::cerr << "_dotc " << *n << " " << *incx << " " << *incy << "\n";
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* y = reinterpret_cast<Scalar*>(py);
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if(*incx==1 && *incy==1)
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*reinterpret_cast<Scalar*>(dot) = vector(x,*n).dot(vector(y,*n));
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else
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*reinterpret_cast<Scalar*>(dot) = vector(x,*n,*incx).dot(vector(y,*n,*incy));
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}
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// computes a vector-vector dot product without complex conjugation.
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void EIGEN_BLAS_FUNC(dotu)(RealScalar* dot, int *n, RealScalar *px, int *incx, RealScalar *py, int *incy)
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{
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std::cerr << "Eigen BLAS: _dotu is not implemented yet\n";
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return;
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// TODO: find how to return a complex to fortran
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// std::cerr << "_dotu " << *n << " " << *incx << " " << *incy << "\n";
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* y = reinterpret_cast<Scalar*>(py);
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if(*incx==1 && *incy==1)
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*reinterpret_cast<Scalar*>(dot) = (vector(x,*n).cwiseProduct(vector(y,*n))).sum();
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else
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*reinterpret_cast<Scalar*>(dot) = (vector(x,*n,*incx).cwiseProduct(vector(y,*n,*incy))).sum();
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}
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#endif // ISCOMPLEX
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#if !ISCOMPLEX
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// computes the Euclidean norm of a vector.
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Scalar EIGEN_BLAS_FUNC(nrm2)(int *n, RealScalar *px, int *incx)
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{
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// std::cerr << "_nrm2 " << *n << " " << *incx << "\n";
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Scalar* x = reinterpret_cast<Scalar*>(px);
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if(*n<=0)
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return 0;
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if(*incx==1) return vector(x,*n).norm();
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else return vector(x,*n,std::abs(*incx)).norm();
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}
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#else
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RealScalar EIGEN_CAT(EIGEN_CAT(REAL_SCALAR_SUFFIX,SCALAR_SUFFIX),nrm2_)(int *n, RealScalar *px, int *incx)
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{
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// std::cerr << "__nrm2 " << *n << " " << *incx << "\n";
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Scalar* x = reinterpret_cast<Scalar*>(px);
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if(*n<=0)
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return 0;
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if(*incx==1)
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return vector(x,*n).norm();
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return vector(x,*n,*incx).norm();
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}
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#endif
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int EIGEN_BLAS_FUNC(rot)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar *pc, RealScalar *ps)
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{
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// std::cerr << "_rot " << *n << " " << *incx << " " << *incy << "\n";
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* y = reinterpret_cast<Scalar*>(py);
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Scalar c = *reinterpret_cast<Scalar*>(pc);
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Scalar s = *reinterpret_cast<Scalar*>(ps);
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if(*n<=0)
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return 0;
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StridedVectorType vx(vector(x,*n,std::abs(*incx)));
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StridedVectorType vy(vector(y,*n,std::abs(*incy)));
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Reverse<StridedVectorType> rvx(vx);
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Reverse<StridedVectorType> rvy(vy);
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if(*incx<0 && *incy>0) ei_apply_rotation_in_the_plane(rvx, vy, PlanarRotation<Scalar>(c,s));
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else if(*incx>0 && *incy<0) ei_apply_rotation_in_the_plane(vx, rvy, PlanarRotation<Scalar>(c,s));
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else ei_apply_rotation_in_the_plane(vx, vy, PlanarRotation<Scalar>(c,s));
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return 0;
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}
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int EIGEN_BLAS_FUNC(rotg)(RealScalar *pa, RealScalar *pb, RealScalar *pc, RealScalar *ps)
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{
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Scalar a = *reinterpret_cast<Scalar*>(pa);
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Scalar b = *reinterpret_cast<Scalar*>(pb);
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Scalar* c = reinterpret_cast<Scalar*>(pc);
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Scalar* s = reinterpret_cast<Scalar*>(ps);
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PlanarRotation<Scalar> r;
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r.makeGivens(a,b);
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*c = r.c();
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*s = r.s();
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return 0;
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}
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#if !ISCOMPLEX
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/*
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// performs rotation of points in the modified plane.
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int EIGEN_BLAS_FUNC(rotm)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar *param)
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{
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* y = reinterpret_cast<Scalar*>(py);
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// TODO
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return 0;
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}
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// computes the modified parameters for a Givens rotation.
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int EIGEN_BLAS_FUNC(rotmg)(RealScalar *d1, RealScalar *d2, RealScalar *x1, RealScalar *x2, RealScalar *param)
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{
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// TODO
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return 0;
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}
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*/
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#endif // !ISCOMPLEX
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int EIGEN_BLAS_FUNC(scal)(int *n, RealScalar *palpha, RealScalar *px, int *incx)
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{
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar alpha = *reinterpret_cast<Scalar*>(palpha);
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// std::cerr << "_scal " << *n << " " << alpha << " " << *incx << "\n";
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if(*n<=0)
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return 0;
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if(*incx==1) vector(x,*n) *= alpha;
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else vector(x,*n,std::abs(*incx)) *= alpha;
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return 0;
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}
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#if ISCOMPLEX
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int EIGEN_CAT(EIGEN_CAT(SCALAR_SUFFIX,REAL_SCALAR_SUFFIX),scal_)(int *n, RealScalar *palpha, RealScalar *px, int *incx)
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{
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Scalar* x = reinterpret_cast<Scalar*>(px);
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RealScalar alpha = *palpha;
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// std::cerr << "__scal " << *n << " " << alpha << " " << *incx << "\n";
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if(*n<=0)
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return 0;
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if(*incx==1) vector(x,*n) *= alpha;
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else vector(x,*n,std::abs(*incx)) *= alpha;
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return 0;
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}
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#endif // ISCOMPLEX
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int EIGEN_BLAS_FUNC(swap)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy)
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{
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// std::cerr << "_swap " << *n << " " << *incx << " " << *incy << "\n";
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* y = reinterpret_cast<Scalar*>(py);
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if(*n<=0)
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return 0;
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if(*incx==1 && *incy==1) vector(y,*n).swap(vector(x,*n));
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else if(*incx>0 && *incy>0) vector(y,*n,*incy).swap(vector(x,*n,*incx));
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else if(*incx>0 && *incy<0) vector(y,*n,-*incy).reverse().swap(vector(x,*n,*incx));
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else if(*incx<0 && *incy>0) vector(y,*n,*incy).swap(vector(x,*n,-*incx).reverse());
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else if(*incx<0 && *incy<0) vector(y,*n,-*incy).reverse().swap(vector(x,*n,-*incx).reverse());
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return 1;
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}
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