1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#ifndef _MSC_VER 2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath #warning deprecated 3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif 4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/* 5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrix3d m = Matrix3d::Zero(); 6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathm.part<Eigen::StrictlyUpperTriangular>().setOnes(); 7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathcout << "Here is the matrix m:" << endl << m << endl; 8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathcout << "And let us now compute m*m.adjoint() in a very optimized way" << endl 9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath << "taking advantage of the symmetry." << endl; 10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrix3d n; 11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathn.part<Eigen::SelfAdjoint>() = (m*m.adjoint()).lazy(); 12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathcout << "The result is:" << endl << n << endl; 13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath*/