using namespace Eigen; using namespace std; int main() { MatrixXf m = MatrixXf::Random(3,3); m = (m + MatrixXf::Constant(3,3,1.2)) * 50; cout << "m =" << endl << m << endl; VectorXf v(3); v << 1, 2, 3; ...
staticconstintnx = 128;staticconstintny = 128;usingnamespacestd;usingnamespaceEigen;intmain(){ Eigen::Matrix<double, (ny+1), nx> X;//ERROR HEREX.setZero();//other similar initializations} This code is running fine for smaller sizes ofnx; ny;but not the case I am showing. Ideally, ...
#include <iostream>#include<vector>#include<Eigen/Dense>usingnamespaceEigen;usingnamespacestd;doublecost_function(MatrixXd &input_X, MatrixXd &_y, MatrixXd θ) {doublerows =input_X.rows(); MatrixXd predictions= input_X *theta; ArrayXd sqrErrors= (predictions -_y).array().square();doubleJ...
写using namespace Eigen;这句话无非就是为直接写API函数名称就能通过编译而已，和写http://Eigen.xxx...
test() 4. C++ #include <iostream>#include<Eigen/Dense>usingnamespacestd;usingnamespaceEigen; MatrixXd les(MatrixXd&input_X, MatrixXd &y) {return(input_X.transpose() * input_X).inverse() * input_X.transpose() *y; }voidgenerate_data(MatrixXd &input_X, MatrixXd &y) { ...
using namespace Eigen; using namespace std; double cost_function(MatrixXd &input_X, MatrixXd &_y, MatrixXd &theta) { double rows = input_X.rows(); MatrixXd predictions = input_X * theta; ArrayXd sqrErrors = (predictions - _y).array().square(); double J = 1.0 / (2 * rows) ...
using namespace std; using namespace Eigen; // SensorPointXYOffset SensorPointXYOffset::SensorPointXYOffset(const std::string& name_): BinarySensor<Robot2D, EdgeSE2PointXYOffset, WorldObjectPointXY>(name_) {1 change: 1 addition & 0 deletions 1 g2o/apps/g2o_simulator/sensor_pointxyz.cpp ...
using namespace Eigen; namespace vcg { namespace tri { template<class MeshType>226 changes: 111 additions & 115 deletions 226 vcg/complex/algorithms/update/halfedge_topology.h Load diff Large diffs are not rendered by default. 20 changes: 10 additions & 10 deletions 20 vcg/complex/algorith...
#include <vector>#include <iostream>#include <complex>#include <cmath>#include <Eigen/Dense>usingnamespacestd::literals;intmain() { std::vector<std::complex<double>> my_vector { 1.0 + 1.0i, 3.0 + 2i, 4.0 - 5.0i }; Eigen::Map<Eigen::RowVectorXcd> map_of_vector(my_vector.data(...
#include<iostream> using namespace std; int main(void) { double * p3 = new double [3]; p3[0] = 0.2; p3[1] = 0.5; p3[2] = 0.8; cout<<"p3[1] is"<<p3[1]<<".\n"; p3 = p3+1; cout <<"Now p3[0] is"<<p3[0]<<"and"; cout<<"p3[1] is"<<p3[1]<<".\n";...