Tutorial_sparse_example_details.cpp File Reference
#include <Eigen/Sparse>
#include <vector>
#include <QImage>

Typedefs

typedef Eigen::SparseMatrix< doubleSpMat
 
typedef Eigen::Triplet< doubleT
 

Functions

void insertCoefficient (int id, int i, int j, double w, std::vector< T > &coeffs, Eigen::VectorXd &b, const Eigen::VectorXd &boundary)
 
void buildProblem (std::vector< T > &coefficients, Eigen::VectorXd &b, int n)
 
void saveAsBitmap (const Eigen::VectorXd &x, int n, const char *filename)
 

Typedef Documentation

◆ SpMat

◆ T

Function Documentation

◆ buildProblem()

void buildProblem ( std::vector< T > &  coefficients,
Eigen::VectorXd &  b,
int  n 
)
21  {
22  b.setZero();
23  Eigen::ArrayXd boundary = Eigen::ArrayXd::LinSpaced(n, 0, M_PI).sin().pow(2);
24  for (int j = 0; j < n; ++j) {
25  for (int i = 0; i < n; ++i) {
26  int id = i + j * n;
27  insertCoefficient(id, i - 1, j, -1, coefficients, b, boundary);
28  insertCoefficient(id, i + 1, j, -1, coefficients, b, boundary);
29  insertCoefficient(id, i, j - 1, -1, coefficients, b, boundary);
30  insertCoefficient(id, i, j + 1, -1, coefficients, b, boundary);
31  insertCoefficient(id, i, j, 4, coefficients, b, boundary);
32  }
33  }
34 }
int i
Definition: BiCGSTAB_step_by_step.cpp:9
const unsigned n
Definition: CG3DPackingUnitTest.cpp:11
void insertCoefficient(int id, int i, int j, double w, std::vector< T > &coeffs, Eigen::VectorXd &b, const Eigen::VectorXd &boundary)
Definition: Tutorial_sparse_example_details.cpp:8
Scalar * b
Definition: benchVecAdd.cpp:17
#define M_PI
Definition: main.h:121
std::ptrdiff_t j
Definition: tut_arithmetic_redux_minmax.cpp:2

References b, i, insertCoefficient(), j, M_PI, and n.

Referenced by main().

◆ insertCoefficient()

void insertCoefficient ( int  id,
int  i,
int  j,
double  w,
std::vector< T > &  coeffs,
Eigen::VectorXd &  b,
const Eigen::VectorXd &  boundary 
)
9  {
10  int n = int(boundary.size());
11  int id1 = i + j * n;
12 
13  if (i == -1 || i == n)
14  b(id) -= w * boundary(j); // constrained coefficient
15  else if (j == -1 || j == n)
16  b(id) -= w * boundary(i); // constrained coefficient
17  else
18  coeffs.push_back(T(id, id1, w)); // unknown coefficient
19 }
RowVector3d w
Definition: Matrix_resize_int.cpp:3
Eigen::Triplet< double > T
Definition: Tutorial_sparse_example_details.cpp:6
return int(ret)+1

References b, i, int(), j, n, and w.

Referenced by buildProblem().

◆ saveAsBitmap()

void saveAsBitmap ( const Eigen::VectorXd &  x,
int  n,
const char filename 
)
36  {
38  QImage img(bits.data(), n, n, QImage::Format_Indexed8);
39  img.setColorCount(256);
40  for (int i = 0; i < 256; i++) img.setColor(i, qRgb(i, i, i));
41  img.save(filename);
42 }
General-purpose arrays with easy API for coefficient-wise operations.
Definition: Array.h:48
Map< const Array< unsigned char, sizeof(T), 1 > > bits(const T &x)
Definition: packetmath_test_shared.h:36
string filename
Definition: MergeRestartFiles.py:39
list x
Definition: plotDoE.py:28

References Eigen::test::bits(), MergeRestartFiles::filename, i, n, and plotDoE::x.

Referenced by main().