Function matrix_exp 

pub fn matrix_exp<T, C>(
    ctx: &mut C,
    tensor: &Tensor<T>,
) -> Result<Tensor<T>, Error>
where
    T: KernelLinalgScalar + ScaleTensorByRealSameShape<C> + MatrixExpAbsTensor<C>,
    <T as LinalgScalar>::Real: KernelLinalgScalar<Real = <T as LinalgScalar>::Real> + Float,
    C: TensorLinalgContextFor<T> + TensorScalarContextFor<Standard<T>> + TensorScalarContextFor<Standard<<T as LinalgScalar>::Real>> + TensorSemiringContextFor<Standard<T>>,
    <C as TensorScalarContextFor<Standard<<T as LinalgScalar>::Real>>>::ScalarBackend: TensorAnalyticPrims<Standard<<T as LinalgScalar>::Real>, Context = C>,
    <C as TensorLinalgContextFor<T>>::Backend: 'static,

Compute the matrix exponential exp(A) of a square matrix.

Examples

use tenferro_device::LogicalMemorySpace;
use tenferro_linalg::matrix_exp;
use tenferro_prims::CpuContext;
use tenferro_tensor::{MemoryOrder, Tensor};

let mut ctx = CpuContext::new(1);
let col = MemoryOrder::ColumnMajor;
let mem = LogicalMemorySpace::MainMemory;
let a = Tensor::<f64>::zeros(&[3, 3], mem, col).unwrap();
let result = matrix_exp(&mut ctx, &a).unwrap();
assert_eq!(result.dims(), &[3, 3]);