don't index Eigen

1 files changed, 0 insertions, 132 deletions

diff --git a/eigen/bench/sparse_lu.cpp b/eigen/bench/sparse_lu.cpp
deleted file mode 100644
index 5c75001..0000000
--- a/eigen/bench/sparse_lu.cpp
+++ /dev/null
@@ -1,132 +0,0 @@
-
-// g++ -I.. sparse_lu.cpp -O3 -g0 -I /usr/include/superlu/ -lsuperlu -lgfortran -DSIZE=1000 -DDENSITY=.05 && ./a.out
-
-#define EIGEN_SUPERLU_SUPPORT
-#define EIGEN_UMFPACK_SUPPORT
-#include <Eigen/Sparse>
-
-#define NOGMM
-#define NOMTL
-
-#ifndef SIZE
-#define SIZE 10
-#endif
-
-#ifndef DENSITY
-#define DENSITY 0.01
-#endif
-
-#ifndef REPEAT
-#define REPEAT 1
-#endif
-
-#include "BenchSparseUtil.h"
-
-#ifndef MINDENSITY
-#define MINDENSITY 0.0004
-#endif
-
-#ifndef NBTRIES
-#define NBTRIES 10
-#endif
-
-#define BENCH(X) \
-  timer.reset(); \
-  for (int _j=0; _j<NBTRIES; ++_j) { \
-    timer.start(); \
-    for (int _k=0; _k<REPEAT; ++_k) { \
-        X  \
-  } timer.stop(); }
-
-typedef Matrix<Scalar,Dynamic,1> VectorX;
-
-#include <Eigen/LU>
-
-template<int Backend>
-void doEigen(const char* name, const EigenSparseMatrix& sm1, const VectorX& b, VectorX& x, int flags = 0)
-{
-  std::cout << name << "..." << std::flush;
-  BenchTimer timer; timer.start();
-  SparseLU<EigenSparseMatrix,Backend> lu(sm1, flags);
-  timer.stop();
-  if (lu.succeeded())
-    std::cout << ":\t" << timer.value() << endl;
-  else
-  {
-    std::cout << ":\t FAILED" << endl;
-    return;
-  }
-
-  bool ok;
-  timer.reset(); timer.start();
-  ok = lu.solve(b,&x);
-  timer.stop();
-  if (ok)
-    std::cout << "  solve:\t" << timer.value() << endl;
-  else
-    std::cout << "  solve:\t" << " FAILED" << endl;
-
-  //std::cout << x.transpose() << "\n";
-}
-
-int main(int argc, char *argv[])
-{
-  int rows = SIZE;
-  int cols = SIZE;
-  float density = DENSITY;
-  BenchTimer timer;
-
-  VectorX b = VectorX::Random(cols);
-  VectorX x = VectorX::Random(cols);
-
-  bool densedone = false;
-
-  //for (float density = DENSITY; density>=MINDENSITY; density*=0.5)
-//   float density = 0.5;
-  {
-    EigenSparseMatrix sm1(rows, cols);
-    fillMatrix(density, rows, cols, sm1);
-
-    // dense matrices
-    #ifdef DENSEMATRIX
-    if (!densedone)
-    {
-      densedone = true;
-      std::cout << "Eigen Dense\t" << density*100 << "%\n";
-      DenseMatrix m1(rows,cols);
-      eiToDense(sm1, m1);
-
-      BenchTimer timer;
-      timer.start();
-      FullPivLU<DenseMatrix> lu(m1);
-      timer.stop();
-      std::cout << "Eigen/dense:\t" << timer.value() << endl;
-
-      timer.reset();
-      timer.start();
-      lu.solve(b,&x);
-      timer.stop();
-      std::cout << "  solve:\t" << timer.value() << endl;
-//       std::cout << b.transpose() << "\n";
-//       std::cout << x.transpose() << "\n";
-    }
-    #endif
-
-    #ifdef EIGEN_UMFPACK_SUPPORT
-    x.setZero();
-    doEigen<Eigen::UmfPack>("Eigen/UmfPack (auto)", sm1, b, x, 0);
-    #endif
-
-    #ifdef EIGEN_SUPERLU_SUPPORT
-    x.setZero();
-    doEigen<Eigen::SuperLU>("Eigen/SuperLU (nat)", sm1, b, x, Eigen::NaturalOrdering);
-//     doEigen<Eigen::SuperLU>("Eigen/SuperLU (MD AT+A)", sm1, b, x, Eigen::MinimumDegree_AT_PLUS_A);
-//     doEigen<Eigen::SuperLU>("Eigen/SuperLU (MD ATA)", sm1, b, x, Eigen::MinimumDegree_ATA);
-    doEigen<Eigen::SuperLU>("Eigen/SuperLU (COLAMD)", sm1, b, x, Eigen::ColApproxMinimumDegree);
-    #endif
-
-  }
-
-  return 0;
-}
-