MatrixSquareRoot.cpp
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2 #include <iostream>
3 
4 using namespace Eigen;
5 
6 int main()
7 {
8  const double pi = std::acos(-1.0);
9 
10  MatrixXd A(2,2);
11  A << cos(pi/3), -sin(pi/3),
12  sin(pi/3), cos(pi/3);
13  std::cout << "The matrix A is:\n" << A << "\n\n";
14  std::cout << "The matrix square root of A is:\n" << A.sqrt() << "\n\n";
15  std::cout << "The square of the last matrix is:\n" << A.sqrt() * A.sqrt() << "\n";
16 }
SparseMatrix< double > A(n, n)
int main()
: TensorContractionSycl.h, provides various tensor contraction kernel for SYCL backend
Eigen::AutoDiffScalar< EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(Eigen::internal::remove_all_t< DerType >, typename Eigen::internal::traits< Eigen::internal::remove_all_t< DerType >>::Scalar, product) > acos(const Eigen::AutoDiffScalar< DerType > &x)
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_cos_op< typename Derived::Scalar >, const Derived > cos(const Eigen::ArrayBase< Derived > &x)
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_sin_op< typename Derived::Scalar >, const Derived > sin(const Eigen::ArrayBase< Derived > &x)