本文整理汇总了C++中VectorXd::sparseView方法的典型用法代码示例。如果您正苦于以下问题：C++ VectorXd::sparseView方法的具体用法？C++ VectorXd::sparseView怎么用？C++ VectorXd::sparseView使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类VectorXd的用法示例。
在下文中一共展示了VectorXd::sparseView方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: solveQurdOpt
Mat solveQurdOpt(SpMat L, SpMat C, VectorXd alpha_star){
//
omp_set_num_threads(1);
Eigen::setNbThreads(1);
cout << "solving quadratic optimization proble .............." << endl;
double lambda = 0.000001;
SpMat D(L.rows(), L.cols());
D.setIdentity();
SpMat b = alpha_star.sparseView();
SpMat A, alpha;
A = L + C + lambda * D;
b = C * b;
Eigen::SimplicialLDLT<SpMat> solver;
cout << "begin to factorize A" << endl;
solver.compute(A);
if(solver.info() != Eigen::Success)
cout << "decomposition failed" << endl;
else
cout << "decomposition success" << endl;
cout << "begin to solve !" << endl;
alpha = solver.solve(b);
cout << "solve success" << endl;
Mat alpha_mat;
eigen2cv(MatrixXd(alpha), alpha_mat);
alpha_mat = alpha_mat.t();
alpha_mat = alpha_mat.reshape(0, imgSize.width).t();
alpha_mat = alpha_mat * 0.5 + 0.5;
alpha_mat = max(min(alpha_mat, 1), 0);
//showSavePicLBDM("alpha", alpha_mat, showImgLBDM, saveImgLBDM);
return alpha_mat;
}