Tutorial_ReductionsVisitorsBroadcasting_reductions_norm.cpp
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00001 #include <Eigen/Dense>
00002 #include <iostream>
00003 
00004 using namespace std;
00005 using namespace Eigen;
00006 
00007 int main()
00008 {
00009   VectorXf v(2);
00010   MatrixXf m(2,2), n(2,2);
00011   
00012   v << -1,
00013        2;
00014   
00015   m << 1,-2,
00016        -3,4;
00017 
00018   cout << "v.squaredNorm() = " << v.squaredNorm() << endl;
00019   cout << "v.norm() = " << v.norm() << endl;
00020   cout << "v.lpNorm<1>() = " << v.lpNorm<1>() << endl;
00021   cout << "v.lpNorm<Infinity>() = " << v.lpNorm<Infinity>() << endl;
00022 
00023   cout << endl;
00024   cout << "m.squaredNorm() = " << m.squaredNorm() << endl;
00025   cout << "m.norm() = " << m.norm() << endl;
00026   cout << "m.lpNorm<1>() = " << m.lpNorm<1>() << endl;
00027   cout << "m.lpNorm<Infinity>() = " << m.lpNorm<Infinity>() << endl;
00028 }


libicr
Author(s): Robert Krug
autogenerated on Mon Jan 6 2014 11:33:55