MatrixSinh.cpp
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2 #include <iostream>
3 
4 using namespace Eigen;
5 
6 int main()
7 {
9  std::cout << "A = \n" << A << "\n\n";
10 
11  MatrixXf sinhA = A.sinh();
12  std::cout << "sinh(A) = \n" << sinhA << "\n\n";
13 
14  MatrixXf coshA = A.cosh();
15  std::cout << "cosh(A) = \n" << coshA << "\n\n";
16 
17  // The matrix functions satisfy cosh^2(A) - sinh^2(A) = I,
18  // like the scalar functions.
19  std::cout << "cosh^2(A) - sinh^2(A) = \n" << coshA*coshA - sinhA*sinhA << "\n\n";
20 }
SparseMatrix< double > A(n, n)
int main()
Definition: MatrixSinh.cpp:6
static const RandomReturnType Random()
: TensorContractionSycl.h, provides various tensor contraction kernel for SYCL backend