MatrixFunction.cpp
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2 #include <iostream>
3 
4 using namespace Eigen;
5 
6 std::complex<double> expfn(std::complex<double> x, int)
7 {
8  return std::exp(x);
9 }
10 
11 int main()
12 {
13  const double pi = std::acos(-1.0);
14 
15  MatrixXd A(3,3);
16  A << 0, -pi/4, 0,
17  pi/4, 0, 0,
18  0, 0, 0;
19 
20  std::cout << "The matrix A is:\n" << A << "\n\n";
21  std::cout << "The matrix exponential of A is:\n"
22  << A.matrixFunction(expfn) << "\n\n";
23 }
SparseMatrix< double > A(n, n)
std::complex< double > expfn(std::complex< double > x, int)
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)
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) > exp(const Eigen::AutoDiffScalar< DerType > &x)