cMatrix cMatrix::Identity( int nDimension )
{
cMatrix matRet(nDimension);
for (int i = 0; i < nDimension; ++i)
{
for (int j = 0; j < nDimension; ++j)
{
matRet[i][j] = (i == j) ? 1.0f : 0.0f;
}
}
return matRet;
}
cMatrix cMatrix::Adjoint()
{
cMatrix matRet(Dimension());
for (int i = 0; i < Dimension(); ++i)
{
for (int j = 0; j < Dimension(); ++j)
{
matRet[i][j] = Cofactor(j, i);
}
}
return matRet;
}
cMatrix cMatrix::Transpose()
{
cMatrix matRet(Dimension());
for (int i = 0; i < Dimension(); ++i)
{
for (int j = 0; j < Dimension(); ++j)
{
matRet[i][j] = (*this)[j][i];
}
}
return matRet;
}
cMatrix cMatrix::operator*( float f )
{
cMatrix matRet(Dimension());
for (int i = 0; i < Dimension(); ++i)
{
for (int j = 0; j < Dimension(); ++j)
{
matRet[i][j] = (*this)[i][j] * f;
}
}
return matRet;
}
cMatrix cMatrix::operator-( cMatrix mat )
{
cMatrix matRet(Dimension());
for (int i = 0; i < Dimension(); ++i)
{
for (int j = 0; j < Dimension(); ++j)
{
matRet[i][j] = (*this)[i][j] - mat[i][j];
}
}
return matRet;
}
MAT trapz(MAT &matX,MAT &matY)
{
MAT matRet(1,matX.nlength);//估计也用不到二维矩阵……这里先这样吧(不会写)
if(matX.nlength!=matY.nlength || matX._row!=1 || matY._row!=1)
{
return MAT();
}
for(int i(1);i<matX.nlength;i++)
{
double val =
(matX.GetValue(0,i) - matX.GetValue(0,i-1))/*delta x*/
*(matY.GetValue(0,i) + matY.GetValue(0,i-1))/*delta h*/
/2 + matRet.GetValue(0,i-1);/*prev sum*/
matRet.SetValue(0,i,val);
}
return matRet;
}
cMatrix cMatrix::operator*( cMatrix mat )
{
cMatrix matRet(Dimension());
for (int i = 0; i < Dimension(); ++i)
{
for (int j = 0; j < Dimension(); ++j)
{
matRet[i][j] = 0;
for (int k = 0; k < Dimension(); ++k)
{
matRet[i][j] += ((*this)[i][k] * mat[k][j]);
}
}
}
return matRet;
}
