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* Start of the LU module, with matrix inversion already there and

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fully optimized.
* Even if LargeBit is set, only parallelize for large enough objects
  (controlled by EIGEN_PARALLELIZATION_TRESHOLD).
This commit is contained in:
Benoit Jacob
2008-04-14 08:20:24 +00:00
parent ab4046970b
commit ea3ccb1e8c
14 changed files with 360 additions and 23 deletions
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7
doc/echelon.cpp
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@@ -49,7 +49,7 @@ struct unroll_echelon<Derived, Dynamic>
{
static void run(MatrixBase<Derived>& m)
{
for(int k = 0; k < m.diagonal().size(); k++)
for(int k = 0; k < m.diagonal().size() - 1; k++)
{
int rowOfBiggest, colOfBiggest;
int cornerRows = m.rows()-k, cornerCols = m.cols()-k;
@@ -63,13 +63,14 @@ struct unroll_echelon<Derived, Dynamic>
}
}
};
using namespace std;
template<typename Derived>
void echelon(MatrixBase<Derived>& m)
{
const int size = DiagonalCoeffs<Derived>::SizeAtCompileTime;
const bool unroll = size <= 4;
unroll_echelon<Derived, unroll ? size : Dynamic>::run(m);
unroll_echelon<Derived, unroll ? size-1 : Dynamic>::run(m);
}
template<typename Derived>
@@ -100,7 +101,7 @@ using namespace std;
int main(int, char **)
{
srand((unsigned int)time(0));
const int Rows = 6, Cols = 6;
const int Rows = 6, Cols = 4;
typedef Matrix<double, Rows, Cols> Mat;
const int N = Rows < Cols ? Rows : Cols;