Created
June 21, 2017 22:45
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| #include <iostream> | |
| #include <vector> | |
| #include <Eigen/Core> | |
| using namespace std; | |
| using namespace Eigen; | |
| int main() { | |
| Matrix4d d4; | |
| cout << "d4" << endl; | |
| cout << d4 << endl; | |
| Matrix<double, 5, 5> d5; | |
| cout << "d5" << endl; | |
| cout << d5 << endl; | |
| Matrix<double, 2, 3> d23; | |
| cout << "d23" << endl; | |
| cout << d23 << endl; | |
| Matrix<double, Dynamic, Dynamic> d43 = MatrixXd(4, 3); | |
| cout << "4, 3" << endl; | |
| cout << MatrixXd(4, 3) << endl; | |
| cout << "zero(3, 3)" << endl; | |
| cout << MatrixXd::Zero(3, 3) << endl; | |
| // std::vector to Eigen::√ector | |
| vector<double> r = {1, 2, 3}; | |
| VectorXd v3 = Map<VectorXd>(&r[0], r.size()); | |
| cout << "Mapping vector" << endl; | |
| cout << v3 << endl; | |
| // std::vector to Eigen::Matrix | |
| vector<double> vec(16); | |
| MatrixXd A = Map<MatrixXd>(vec.data(), 4, 4); | |
| cout << "\nA" << endl; | |
| cout << A << endl; | |
| // std::vector<vector<double>> to Eigen::Matrix | |
| vector<vector<double>> mat {{1, 2, 3}, {4, 5, 6}, {7, 8, 9}}; | |
| const int N = mat.size(); | |
| const int M = mat[0].size(); | |
| vector<double> vmat(N*M); | |
| for (int i = 0; i < N; ++i) { | |
| std::copy(mat[i].begin(), mat[i].end(), vmat.begin() + i * M); | |
| } | |
| MatrixXd B = Map<Matrix<double, Dynamic, Dynamic, RowMajor>>(vmat.data(), N, M); | |
| cout << "\nB" << endl; | |
| cout << B << endl; | |
| } |
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