STK_Kernel_Linear.h

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/*--------------------------------------------------------------------*/
/*     Copyright (C) 2004-2016  Serge Iovleff, Université Lille 1, Inria
 
    This program 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 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 Lesser General Public License for more details.
 
    You should have received a copy of the GNU Lesser 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
 
    Contact : S..._Dot_I..._At_stkpp_Dot_org (see copyright for ...)
*/
 
/*
 * Project:  stkpp::
 * created on: 5 avr. 2015
 * Author:   iovleff, S..._Dot_I..._At_stkpp_Dot_org (see copyright for ...)
 **/
 
#ifndef STK_KERNEL_LINEAR_H
#define STK_KERNEL_LINEAR_H
 
#include "STK_Kernel_IKernelBase.h"
 
namespace STK
{
 
namespace Kernel
{
template<class Array>
class Linear: public IKernelBase<Array>
{
  public:
    typedef IKernelBase<Array> Base;
    typedef typename Array::Type Type;
    using Base::p_data_;
    using Base::gram_;
    using Base::hasRun_;
 
    Linear(): Base(0) {}
    Linear(Array const* p_data): Base(p_data) {}
    Linear(Array const& data): Base(data) {}
    template<class Derived>
    Linear( Array const* p_data, ExprBase<Derived> const& param): Base(p_data)
    {}
    template<class Derived>
    Linear( Array const& data, ExprBase<Derived> const& param): Base(data)
    {}
 
    virtual ~Linear() {}
    template<class Derived>
    void setParam(  ExprBase<Derived> const& param) {}
 
    virtual Real diag(int i) const;
    virtual Real comp(int i, int j) const;
};
 
/* virtual method.
 *  @return diagonal value of the kernel for the ith individuals.
 *  @param i index of the individual
 **/
template<class Array>
inline Real Linear<Array>::diag(int i) const
{ return hasRun_ ? gram_(i,i)
                 :  p_data_->row(i).norm2();
}
 
template<class Array>
Real Linear<Array>::comp(int i, int j) const
{ return hasRun_ ? gram_(i,j)
                 :  p_data_->row(i).dot(p_data_->row(j));}
 
} // namespace Kernel
 
} // namespace STK
 
#endif /* STK_KERNEL_LINEAR_H */