Пример #1
0
    void IdentityMatrix<TYPE>::Solve(const BaseMatrix<TYPE>& in, BaseMatrix<TYPE>& out) const
    {
        int n = GeneralMatrix<TYPE>::nrows;
        assert(n == in.Nrows());
        assert(in.Ncols() == out.Ncols() && in.Nrows() == out.Nrows());

        std::shared_ptr<LinearEquationSolver<TYPE> > solver = this->MakeSolver();
        solver->Solve(in, out);
    }
Пример #2
0
 void CholeskySolver<TYPE>::Solve(const BaseMatrix<TYPE> &in, BaseMatrix<TYPE> &out) const
 {
     assert(in.Nrows() == lm.Ncols());
     assert(in.Nrows() == out.Nrows() && in.Ncols() == out.Ncols());
     if (LinearEquationSolver<TYPE>::fail)
     {
         Singleton<Tracer>::Instance()->AddMessage("CholeskySolver::Solve(in, out)");
         throw NPDException(SimpleSolver<TYPE>::mat);
     }
     Matrix<TYPE> temp(out.Nrows(), out.Ncols());
     lm.Solve(in, temp);
     t(lm).Solve(temp, out);
 }
Пример #3
0
 void LUsolverNoPivot<TYPE>::Solve(const BaseMatrix<TYPE> &in, BaseMatrix<TYPE> &out) const
 {
     assert(in.Nrows() == combine.Ncols());
     assert(in.Nrows() == out.Nrows() && in.Ncols() == out.Ncols());
     if (LinearEquationSolver<TYPE>::IsFailed())
     {
         Singleton<Tracer>::Instance()->AddMessage("LUsolverNoPivot::Solve");
         throw LogicError("LUsolverNoPivot: LU decomposition is failed");
     }
     Matrix<TYPE> t(in.Nrows(), in.Ncols());
     LUsolver<TYPE>::lm.Solve(in, t);
     LUsolver<TYPE>::um.Solve(t, out);
 }
 void BandLUsolverPartialPivot<TYPE>::Solve(const BaseMatrix<TYPE> &in, BaseMatrix<TYPE> &out) const
 {
     assert(in.Nrows() == combine.Ncols());
     assert(in.Nrows() == out.Nrows() && in.Ncols() == out.Ncols());
     if (LinearEquationSolver<TYPE>::IsFailed())
     {
         Singleton<Tracer>::Instance()->AddMessage("BandLUsolverPartialPivot::Solve");
         throw SingularException(BandLUsolver<TYPE>::mat);
     }
     const PermuteMatrix<TYPE> &lp = BandLUsolver<TYPE>::left;
     Matrix<TYPE> t(in.Nrows(), in.Ncols());
     lm.Solve(c_perm(lp, in), t);
     um.Solve(t, out);
 }
    BandLUsolverPartialPivot<TYPE>::BandLUsolverPartialPivot(const BaseMatrix<TYPE> &bm, const TYPE &e) :
        BandLUsolver<TYPE>(bm, bm.BandWidth().Lower(), std::min(bm.BandWidth().Lower() + bm.BandWidth().Upper(), bm.Nrows() - 1), e),
        lm(bm.Nrows()), um(bm.Nrows(), BandLUsolver<TYPE>::ubw),
        combine(lm, um)
    {
        lm << bm;
        um << bm;
        static const TYPE one(1);
        for (int i = 1; i <= bm.Nrows(); ++i)
        {
            lm(i, i) = one;
        }

        BandLUdecomposion();
    }
Пример #6
0
 void SymmetricBandMatrix<TYPE>::operator<<(const BaseMatrix<TYPE>& bm)
 {
     if (&bm == this)
     {
         return;
     }
     assert(bm.Nrows() == GeneralMatrix<TYPE>::nrows && bm.Ncols() == GeneralMatrix<TYPE>::ncols);
     int n = GeneralMatrix<TYPE>::nrows, lb = this->BandWidth().Lower();
     if (bm.Search(*this) == 0)
     {
         for (int i = 0; i <= lb; ++i)
         {
             for (int j = 1; j <= n - i; ++j)
             {
                 operator()(j + i, j) = bm(j + i, j);
             }
         }
     }
     else
     {
         SymmetricBandMatrix<TYPE> t(n, lb);
         t << bm;
         this->Swap(t);
     }
 }
Пример #7
0
 void IdentityMatrix<TYPE>::operator<<(const BaseMatrix<TYPE> &bm)
 {
     if (&bm == this)
     {
         return;
     }
     assert(bm.Nrows() == GeneralMatrix<TYPE>::nrows && bm.Ncols() == GeneralMatrix<TYPE>::ncols);
     operator()(1, 1) = bm(1, 1);
 }
Пример #8
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    void ConstantSolver<TYPE>::Solve(const BaseMatrix<TYPE> &in, BaseMatrix<TYPE> &out) const
    {
        if (LinearEquationSolver<TYPE>::IsFailed())
        {
            Singleton<Tracer>::Instance()->AddMessage("ConstantSolver::Solve");
            throw SingularException(SimpleSolver<TYPE>::mat);
        }

        int r = SimpleSolver<TYPE>::mat.Nrows();
        int c = SimpleSolver<TYPE>::mat.Ncols();

        assert(r == 1 && c == 1 && c == in.Nrows());
        assert(in.Ncols() == out.Ncols() && in.Nrows() == out.Nrows());

        const BaseMatrix<TYPE> &m = SimpleSolver<TYPE>::mat;
        for (int i = 1; i <= c; ++i)
        {
            for (int j = r; j >= 1; --j)
            {
                out(j, i) = in(j, i) / m(j, j);
            }
        }
    }
Пример #9
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    void IdentitySolver<TYPE>::Solve(const BaseMatrix<TYPE> &in, BaseMatrix<TYPE> &out) const
    {
        if (LinearEquationSolver<TYPE>::IsFailed())
        {
            Singleton<Tracer>::Instance()->AddMessage("IdentitySolver::Solve");
            throw SingularException(SimpleSolver<TYPE>::mat);
        }

        int n = SimpleSolver<TYPE>::mat.Nrows();

        assert(n == in.Nrows());
        assert(in.Ncols() == out.Ncols() && in.Nrows() == out.Nrows());

        TYPE t = SimpleSolver<TYPE>::mat(1, 1);
        int c = in.Ncols();
        for (int i = 1; i <= c; ++i)
        {
            for (int j = n; j >= 1; --j)
            {
                out(j, i) = in(j, i) / t;
            }
        }

    }
Пример #10
0
    void CholeskySolver<TYPE>::CholeskyDecomposition(const BaseMatrix<TYPE> &bm)
    {
        assert(bm.Nrows() == bm.Ncols());

        int n = lm.Nrows();
        const TYPE &e = SimpleSolver<TYPE>::epsilon;
        TYPE temp;
        for (int i = 1; i <= n; ++i)
        {
            if (i == 1)
            {
                temp = bm(i, i);
            }
            else
            {
                temp = bm(i, i) - (c_sub(lm, i, i, 1, i - 1) * t(c_sub(lm, i, i, 1, i - 1)))(1, 1);
            }
            if (temp <= e)
            {
                LinearEquationSolver<TYPE>::fail = true;
                return;
            }
            else
            {
                lm(i, i) = std::sqrt(temp);
                for (int j = i + 1; j <= n; ++j)
                {
                    if (i == 1)
                    {
                        lm(j, i) = bm(j, i) / lm(i, i);
                    }
                    else
                    {
                        lm(j, i) = (bm(j, i) - (c_sub(lm, i, i, 1, i - 1) * t(c_sub(lm, j, j, 1, i - 1)))(1, 1)) / lm(i, i);
                    }
                }
            }
        }
    }