MatrixLogarithm.cpp
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2 #include <iostream>
3 
4 using namespace Eigen;
5 
6 int main()
7 {
8  using std::sqrt;
9  MatrixXd A(3,3);
10  A << 0.5*sqrt(2), -0.5*sqrt(2), 0,
11  0.5*sqrt(2), 0.5*sqrt(2), 0,
12  0, 0, 1;
13  std::cout << "The matrix A is:\n" << A << "\n\n";
14  std::cout << "The matrix logarithm of A is:\n" << A.log() << "\n";
15 }
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) > sqrt(const Eigen::AutoDiffScalar< DerType > &x)
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_sqrt_op< typename Derived::Scalar >, const Derived > sqrt(const Eigen::ArrayBase< Derived > &x)