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authorYi Kong <yikong@google.com>2022-02-25 17:02:53 +0000
committerAutomerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>2022-02-25 17:02:53 +0000
commitedb0ad5bb04b48aab7dd0978f0475edd3550de7c (patch)
treefb979fb4cf4f8052c8cc66b1ec9516d91fcd859b /doc/special_examples/Tutorial_sparse_example.cpp
parent8fd413e275f78a4c240f1442ce5cf77c73a20a55 (diff)
parentbc0f5df265caa21a2120c22453655a7fcc941991 (diff)
downloadeigen-aml_uwb_331310030.tar.gz
Original change: https://android-review.googlesource.com/c/platform/external/eigen/+/1999079 Change-Id: Ife39d10c8b23d3eeb174cd52f462f9d20527ad03
Diffstat (limited to 'doc/special_examples/Tutorial_sparse_example.cpp')
-rw-r--r--doc/special_examples/Tutorial_sparse_example.cpp8
1 files changed, 6 insertions, 2 deletions
diff --git a/doc/special_examples/Tutorial_sparse_example.cpp b/doc/special_examples/Tutorial_sparse_example.cpp
index 830e196ea..8850db052 100644
--- a/doc/special_examples/Tutorial_sparse_example.cpp
+++ b/doc/special_examples/Tutorial_sparse_example.cpp
@@ -1,5 +1,6 @@
#include <Eigen/Sparse>
#include <vector>
+#include <iostream>
typedef Eigen::SparseMatrix<double> SpMat; // declares a column-major sparse matrix type of double
typedef Eigen::Triplet<double> T;
@@ -9,10 +10,13 @@ void saveAsBitmap(const Eigen::VectorXd& x, int n, const char* filename);
int main(int argc, char** argv)
{
- assert(argc==2);
+ 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 unknows (=number of pixels)
+ int m = n*n; // number of unknowns (=number of pixels)
// Assembly:
std::vector<T> coefficients; // list of non-zeros coefficients