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authorMarc Glisse <marc.glisse@inria.fr>2020-05-13 23:19:35 +0200
committerMarc Glisse <marc.glisse@inria.fr>2020-05-13 23:19:35 +0200
commit4220ee79bf32aed1c8ee3bb9b04dea3888b74d2d (patch)
treec62ac12c03693d3a8f3abf6e8f7b00c7be0e55ea /src/Persistence_representations/example/persistence_landscape.cpp
parent8ba3ca48e03e379fca0a0b68a508d8357a367f52 (diff)
parent1efd71c502bacce375e1950e10a8112208acd0cf (diff)
Merge remote-tracking branch 'origin/master' into tomato2
Diffstat (limited to 'src/Persistence_representations/example/persistence_landscape.cpp')
-rw-r--r--src/Persistence_representations/example/persistence_landscape.cpp24
1 files changed, 12 insertions, 12 deletions
diff --git a/src/Persistence_representations/example/persistence_landscape.cpp b/src/Persistence_representations/example/persistence_landscape.cpp
index ff18d105..d39ae0b8 100644
--- a/src/Persistence_representations/example/persistence_landscape.cpp
+++ b/src/Persistence_representations/example/persistence_landscape.cpp
@@ -37,35 +37,35 @@ int main(int argc, char** argv) {
Persistence_landscape l2(persistence2);
// This is how to compute integral of landscapes:
- std::cout << "Integral of the first landscape : " << l1.compute_integral_of_landscape() << std::endl;
- std::cout << "Integral of the second landscape : " << l2.compute_integral_of_landscape() << std::endl;
+ std::clog << "Integral of the first landscape : " << l1.compute_integral_of_landscape() << std::endl;
+ std::clog << "Integral of the second landscape : " << l2.compute_integral_of_landscape() << std::endl;
// And here how to write landscapes to stream:
- std::cout << "l1 : " << l1 << std::endl;
- std::cout << "l2 : " << l2 << std::endl;
+ std::clog << "l1 : " << l1 << std::endl;
+ std::clog << "l2 : " << l2 << std::endl;
// Arithmetic operations on landscapes:
Persistence_landscape sum = l1 + l2;
- std::cout << "sum : " << sum << std::endl;
+ std::clog << "sum : " << sum << std::endl;
// here are the maxima of the functions:
- std::cout << "Maximum of l1 : " << l1.compute_maximum() << std::endl;
- std::cout << "Maximum of l2 : " << l2.compute_maximum() << std::endl;
+ std::clog << "Maximum of l1 : " << l1.compute_maximum() << std::endl;
+ std::clog << "Maximum of l2 : " << l2.compute_maximum() << std::endl;
// here are the norms of landscapes:
- std::cout << "L^1 Norm of l1 : " << l1.compute_norm_of_landscape(1.) << std::endl;
- std::cout << "L^1 Norm of l2 : " << l2.compute_norm_of_landscape(1.) << std::endl;
+ std::clog << "L^1 Norm of l1 : " << l1.compute_norm_of_landscape(1.) << std::endl;
+ std::clog << "L^1 Norm of l2 : " << l2.compute_norm_of_landscape(1.) << std::endl;
// here is the average of landscapes:
Persistence_landscape average;
average.compute_average({&l1, &l2});
- std::cout << "average : " << average << std::endl;
+ std::clog << "average : " << average << std::endl;
// here is the distance of landscapes:
- std::cout << "Distance : " << l1.distance(l2) << std::endl;
+ std::clog << "Distance : " << l1.distance(l2) << std::endl;
// here is the scalar product of landscapes:
- std::cout << "Scalar product : " << l1.compute_scalar_product(l2) << std::endl;
+ std::clog << "Scalar product : " << l1.compute_scalar_product(l2) << std::endl;
// here is how to create a file which is suitable for visualization via gnuplot:
average.plot("average_landscape");