Bump dependencies

Author: bytesnake

ndarray-linalg/Cargo.toml

@@ -50,8 +50,8 @@ paste = "1.0.5"
 criterion = "0.3.4"
 # Keep the same version as ndarray's dependency!
 approx = { version = "0.4", features = ["num-complex"] }
-rand_xoshiro = "0.4"
-ndarray-rand = "0.12"
+rand_xoshiro = "0.6"
+ndarray-rand = "0.14"
 
 [[bench]]
 name = "truncated_eig"

ndarray-linalg/src/lobpcg/mod.rs

@@ -3,7 +3,7 @@
 //! Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) is a matrix-free method for
 //! finding the large (or smallest) eigenvalues and the corresponding eigenvectors of a symmetric
 //! eigenvalue problem
-//! ```
+//! ```text
 //! A x = lambda x
 //! ```
 //! where A is symmetric and (x, lambda) the solution. It has the following advantages: