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Clang-format tests, examples, libraries, benchmarks, etc.

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This commit is contained in:
Antonio Sánchez
2023-12-05 21:22:55 +00:00
committed by Rasmus Munk Larsen
parent 3252ecc7a4
commit 46e9cdb7fe
876 changed files with 33453 additions and 37795 deletions
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20
doc/special_examples/Tutorial_sparse_example.cpp
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@@ -2,28 +2,27 @@
#include <vector>
#include <iostream>
typedef Eigen::SparseMatrix<double> SpMat; // declares a column-major sparse matrix type of double
typedef Eigen::SparseMatrix<double> SpMat; // declares a column-major sparse matrix type of double
typedef Eigen::Triplet<double> T;
void buildProblem(std::vector<T>& coefficients, Eigen::VectorXd& b, int n);
void saveAsBitmap(const Eigen::VectorXd& x, int n, const char* filename);
int main(int argc, char** argv)
{
if(argc!=2) {
int main(int argc, char** argv) {
if (argc != 2) {
std::cerr << "Error: expected one and only one argument.\n";
return -1;
}
int n = 300; // size of the image
int m = n*n; // number of unknowns (=number of pixels)
int n = 300; // size of the image
int m = n * n; // number of unknowns (=number of pixels)
// Assembly:
std::vector<T> coefficients; // list of non-zeros coefficients
Eigen::VectorXd b(m); // the right hand side-vector resulting from the constraints
std::vector<T> coefficients; // list of non-zeros coefficients
Eigen::VectorXd b(m); // the right hand side-vector resulting from the constraints
buildProblem(coefficients, b, n);
SpMat A(m,m);
SpMat A(m, m);
A.setFromTriplets(coefficients.begin(), coefficients.end());
// Solving:
@@ -35,4 +34,3 @@ int main(int argc, char** argv)
return 0;
}