Computes the inverse of a positive definite matrix from its Cholesky factor.
Note: x should be the Cholesky factor (L or U), not the original matrix.
     
    
    Usage
    mlx_cholesky_inv(x, upper = FALSE)
 
    
    Arguments
- x
- An mlx array. 
- upper
- Logical; if - TRUE,- xis upper triangular, otherwise lower triangular.
 
 
    
    Value
    The inverse of the original matrix (A^-1 where A = LL' or A = U'U).
     
    
    Details
    For a more R-like interface, see chol2inv().
     
    
    
    Examples
    # Create a positive definite matrix
A <- matrix(rnorm(9), 3, 3)
A <- t(A) %*% A
# Compute Cholesky factor
L <- chol(A, pivot = FALSE, upper = FALSE)
# Get inverse from Cholesky factor
A_inv <- mlx_cholesky_inv(as_mlx(L))