Cholesky.h

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// -*- c++ -*-

//     Copyright (C) 2009 Tom Drummond (twd20@cam.ac.uk)
//
// This file is part of the TooN Library.  This library 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, or (at your option)
// any later version.

// This library 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 library; see the file COPYING.  If not, write to the Free
// Software Foundation, 59 Temple Place - Suite 330, Boston, MA 02111-1307,
// USA.

// As a special exception, you may use this file as part of a free software
// library without restriction.  Specifically, if other files instantiate
// templates or use macros or inline functions from this file, or you compile
// this file and link it with other files to produce an executable, this
// file does not by itself cause the resulting executable to be covered by
// the GNU General Public License.  This exception does not however
// invalidate any other reasons why the executable file might be covered by
// the GNU General Public License.


#ifndef TOON_INCLUDE_CHOLESKY_H
#define TOON_INCLUDE_CHOLESKY_H

#include "TooN.h"

namespace TooN {


template <int Size=Dynamic, class Precision=DefaultPrecision>
class Cholesky {
public:
    Cholesky(){}

    template<class P2, class B2>
    Cholesky(const Matrix<Size, Size, P2, B2>& m)
        : my_cholesky(m) {
        SizeMismatch<Size,Size>::test(m.num_rows(), m.num_cols());
        do_compute();
    }
    
    Cholesky(int size) : my_cholesky(size,size) {}


    template<class P2, class B2> void compute(const Matrix<Size, Size, P2, B2>& m){
        SizeMismatch<Size,Size>::test(m.num_rows(), m.num_cols());
        SizeMismatch<Size,Size>::test(m.num_rows(), my_cholesky.num_rows());
        my_cholesky=m;
        do_compute();
    }
    
    private:
    void do_compute() {
        int size=my_cholesky.num_rows();
        for(int col=0; col<size; col++){
            Precision inv_diag = 1;
            for(int row=col; row < size; row++){
                // correct for the parts of cholesky already computed
                Precision val = my_cholesky(row,col);
                for(int col2=0; col2<col; col2++){
                    // val-=my_cholesky(col,col2)*my_cholesky(row,col2)*my_cholesky(col2,col2);
                    val-=my_cholesky(col2,col)*my_cholesky(row,col2);
                }
                if(row==col){
                    // this is the diagonal element so don't divide
                    my_cholesky(row,col)=val;
                    inv_diag=1/val;
                } else {
                    // cache the value without division in the upper half
                    my_cholesky(col,row)=val;
                    // divide my the diagonal element for all others
                    my_cholesky(row,col)=val*inv_diag;
                }
            }
        }
    }
    public:

    template<int Size2, class P2, class B2>
    Vector<Size, Precision> backsub (const Vector<Size2, P2, B2>& v) const {
        int size=my_cholesky.num_rows();
        SizeMismatch<Size,Size2>::test(size, v.size());

        // first backsub through L
        Vector<Size, Precision> y(size);
        for(int i=0; i<size; i++){
            Precision val = v[i];
            for(int j=0; j<i; j++){
                val -= my_cholesky(i,j)*y[j];
            }
            y[i]=val;
        }
        
        // backsub through diagonal
        for(int i=0; i<size; i++){
            y[i]/=my_cholesky(i,i);
        }

        // backsub through L.T()
        Vector<Size,Precision> result(size);
        for(int i=size-1; i>=0; i--){
            Precision val = y[i];
            for(int j=i+1; j<size; j++){
                val -= my_cholesky(j,i)*result[j];
            }
            result[i]=val;
        }

        return result;
    }

    template<int Size2, int C2, class P2, class B2>
    Matrix<Size, C2, Precision> backsub (const Matrix<Size2, C2, P2, B2>& m) const {
        int size=my_cholesky.num_rows();
        SizeMismatch<Size,Size2>::test(size, m.num_rows());

        // first backsub through L
        Matrix<Size, C2, Precision> y(size, m.num_cols());
        for(int i=0; i<size; i++){
            Vector<C2, Precision> val = m[i];
            for(int j=0; j<i; j++){
                val -= my_cholesky(i,j)*y[j];
            }
            y[i]=val;
        }
        
        // backsub through diagonal
        for(int i=0; i<size; i++){
            y[i]*=(1/my_cholesky(i,i));
        }

        // backsub through L.T()
        Matrix<Size,C2,Precision> result(size, m.num_cols());
        for(int i=size-1; i>=0; i--){
            Vector<C2,Precision> val = y[i];
            for(int j=i+1; j<size; j++){
                val -= my_cholesky(j,i)*result[j];
            }
            result[i]=val;
        }
        return result;
    }


    // easy way to get inverse - could be made more efficient
    Matrix<Size,Size,Precision> get_inverse(){
        Matrix<Size,Size,Precision>I(Identity(my_cholesky.num_rows()));
        return backsub(I);
    }
    
    Precision determinant(){
        Precision answer=my_cholesky(0,0);
        for(int i=1; i<my_cholesky.num_rows(); i++){
            answer*=my_cholesky(i,i);
        }
        return answer;
    }

    template <int Size2, typename P2, typename B2>
    Precision mahalanobis(const Vector<Size2, P2, B2>& v) const {
        return v * backsub(v);
    }

    Matrix<Size,Size,Precision> get_unscaled_L() const {
        Matrix<Size,Size,Precision> m(my_cholesky.num_rows(),
                          my_cholesky.num_rows());
        m=Identity;
        for (int i=1;i<my_cholesky.num_rows();i++) {
            for (int j=0;j<i;j++) {
                m(i,j)=my_cholesky(i,j);
            }
        }
        return m;
    }
            
    Matrix<Size,Size,Precision> get_D() const {
        Matrix<Size,Size,Precision> m(my_cholesky.num_rows(),
                          my_cholesky.num_rows());
        m=Zeros;
        for (int i=0;i<my_cholesky.num_rows();i++) {
            m(i,i)=my_cholesky(i,i);
        }
        return m;
    }
    
    Matrix<Size,Size,Precision> get_L() const {
        Matrix<Size,Size,Precision> m(my_cholesky.num_rows(),
                          my_cholesky.num_rows());
        m=Zeros;
        for (int j=0;j<my_cholesky.num_cols();j++) {
            Precision sqrtd=sqrt(my_cholesky(j,j));
            m(j,j)=sqrtd;
            for (int i=j+1;i<my_cholesky.num_rows();i++) {
                m(i,j)=my_cholesky(i,j)*sqrtd;
            }
        }
        return m;
    }

private:
    Matrix<Size,Size,Precision> my_cholesky;
};


}

#endif