MatrixPower.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  Matrix3d A;
10  A << cos(1), -sin(1), 0,
11  sin(1), cos(1), 0,
12  0 , 0 , 1;
13  std::cout << "The matrix A is:\n" << A << "\n\n"
14  "The matrix power A^(pi/4) is:\n" << A.pow(pi/4) << std::endl;
15  return 0;
16 }
SparseMatrix< double > A(n, n)
int main()
Definition: MatrixPower.cpp:6
: 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)