224     for (int i=0; i<iters; ++i) NRM(vd); \
240   VectorXd vd = VectorXd::Ones(s) * yd;  in check_accuracy()  local
243   std::cout << "sqsumNorm\t" << sqsumNorm(vf) << "\t" << sqsumNorm(vd) << "\n";  in check_accuracy()
244   std::cout << "hypotNorm\t" << hypotNorm(vf) << "\t" << hypotNorm(vd) << "\n";  in check_accuracy()
245   std::cout << "blueNorm\t" << blueNorm(vf) << "\t" << blueNorm(vd) << "\n";  in check_accuracy()
246   std::cout << "pblueNorm\t" << pblueNorm(vf) << "\t" << pblueNorm(vd) << "\n";  in check_accuracy()
247   std::cout << "lapackNorm\t" << lapackNorm(vf) << "\t" << lapackNorm(vd) << "\n";  in check_accuracy()
248   std::cout << "twopassNorm\t" << twopassNorm(vf) << "\t" << twopassNorm(vd) << "\n";  in check_accuracy()
249   std::cout << "bl2passNorm\t" << bl2passNorm(vf) << "\t" << bl2passNorm(vd) << "\n";  in check_accuracy()
255   VectorXd vd(s);  in check_accuracy_var()  local
259 …vd[i] = internal::abs(internal::random<double>()) * std::pow(double(10), internal::random<int>(ed0…  in check_accuracy_var()
263 … << sqsumNorm(vf)  << "\t" << sqsumNorm(vd)  << "\t" << sqsumNorm(vf.cast<long double>()) << "\t" …  in check_accuracy_var()
264 … << hypotNorm(vf)  << "\t" << hypotNorm(vd)  << "\t" << hypotNorm(vf.cast<long double>()) << "\t" …  in check_accuracy_var()
265 …  << blueNorm(vf)   << "\t" << blueNorm(vd)   << "\t" << blueNorm(vf.cast<long double>()) << "\t" …  in check_accuracy_var()
266 …  << pblueNorm(vf)  << "\t" << pblueNorm(vd)  << "\t" << blueNorm(vf.cast<long double>()) << "\t" …  in check_accuracy_var()
267 …< lapackNorm(vf) << "\t" << lapackNorm(vd) << "\t" << lapackNorm(vf.cast<long double>()) << "\t" <…  in check_accuracy_var()
268 …wopassNorm(vf) << "\t" << twopassNorm(vd) << "\t" << twopassNorm(vf.cast<long double>()) << "\t" <…  in check_accuracy_var()
320     VectorXd vd = VectorXd::Random(1024*1024*32) * y;  in main()  local
335     VectorXd vd = VectorXd::Random(512) * y;  in main()  local