diff options
Diffstat (limited to 'src/Persistence_representations/example')
4 files changed, 7 insertions, 7 deletions
diff --git a/src/Persistence_representations/example/persistence_heat_maps.cpp b/src/Persistence_representations/example/persistence_heat_maps.cpp index da87486d..c75e2731 100644 --- a/src/Persistence_representations/example/persistence_heat_maps.cpp +++ b/src/Persistence_representations/example/persistence_heat_maps.cpp @@ -55,7 +55,7 @@ int main( int argc , char** argv ) persistence2.push_back( std::make_pair(3,5) ); persistence2.push_back( std::make_pair(6,10) ); - //over here we define a function we sill put on a top on every birth--death pair in the persistence interval. It can be anything. Over here we will use standarg Gaussian + //over here we define a function we sill put on a top on every birth--death pair in the persistence interval. It can be anything. Over here we will use standard Gaussian std::vector< std::vector<double> > filter = create_Gaussian_filter(5,1); //creating two heat maps. @@ -72,7 +72,7 @@ int main( int argc , char** argv ) Persistence_heat_maps<constant_scaling_function> median; median.compute_median( vector_of_maps ); - //to compute L^1 disance between hm1 and hm2: + //to compute L^1 distance between hm1 and hm2: std::cout << "The L^1 distance is : " << hm1.distance( hm2 , 1 ) << std::endl; //to average of hm1 and hm2: diff --git a/src/Persistence_representations/example/persistence_intervals.cpp b/src/Persistence_representations/example/persistence_intervals.cpp index ed5b4e34..947c9627 100644 --- a/src/Persistence_representations/example/persistence_intervals.cpp +++ b/src/Persistence_representations/example/persistence_intervals.cpp @@ -47,7 +47,7 @@ int main( int argc , char** argv ) std::vector<double> dominant_ten_intervals_length = p.length_of_dominant_intervals(10); - std::cout << "Lendth of ten dominant intervals : " <<std::endl; + std::cout << "Length of ten dominant intervals : " <<std::endl; for ( size_t i = 0 ; i != dominant_ten_intervals_length.size() ; ++i ) { std::cout << dominant_ten_intervals_length[i] <<std::endl; @@ -70,7 +70,7 @@ int main( int argc , char** argv ) std::vector< size_t > cumulative_histogram = p.cumulative_histogram_of_lengths( 10 ); - std::cout<< "Cumuative histogram : " <<std::endl; + std::cout<< "Cumulative histogram : " <<std::endl; for ( size_t i = 0 ; i != cumulative_histogram.size() ; ++i ) { std::cout << cumulative_histogram[i] << " "; diff --git a/src/Persistence_representations/example/persistence_landscape.cpp b/src/Persistence_representations/example/persistence_landscape.cpp index 40fb7d32..3ce31918 100644 --- a/src/Persistence_representations/example/persistence_landscape.cpp +++ b/src/Persistence_representations/example/persistence_landscape.cpp @@ -61,7 +61,7 @@ int main( int argc , char** argv ) std::cout << "l1 : " << l1 << std::endl; std::cout << "l2 : " << l2 << std::endl; - //Arythmetic operations on landscapes: + //Arithmetic operations on landscapes: Persistence_landscape sum = l1+l2; std::cout << "sum : " << sum << std::endl; @@ -84,7 +84,7 @@ int main( int argc , char** argv ) //here is the scalar product of landscapes: std::cout << "Scalar product : " << l1.compute_scalar_product( l2 ) << std::endl; - //here is how to create a file which is suitable for vizualization via gnuplot: + //here is how to create a file which is suitable for visualization via gnuplot: average.plot( "average_landscape" ); return 0; diff --git a/src/Persistence_representations/example/persistence_landscape_on_grid.cpp b/src/Persistence_representations/example/persistence_landscape_on_grid.cpp index b38ac3d9..276b7a44 100644 --- a/src/Persistence_representations/example/persistence_landscape_on_grid.cpp +++ b/src/Persistence_representations/example/persistence_landscape_on_grid.cpp @@ -80,7 +80,7 @@ int main( int argc , char** argv ) //here is the scalar product of landscapes: std::cout << "Scalar product : " << l1.compute_scalar_product( l2 ) << std::endl; - //here is how to create a file which is suitable for vizualization via gnuplot: + //here is how to create a file which is suitable for visualization via gnuplot: average.plot( "average_landscape" ); |