Enum ndarray_linalg::lobpcg::LobpcgResult[−][src]

pub enum LobpcgResult<A> {
    Ok(Array1<A>, Array2<A>, Vec<A>),
    Err(Array1<A>, Array2<A>, Vec<A>, LinalgError),
    NoResult(LinalgError),
}

The result of the eigensolver

In the best case the eigensolver has converged with a result better than the given threshold, then a LobpcgResult::Ok gives the eigenvalues, eigenvectors and norms. If an error ocurred during the process, it is returned in LobpcgResult::Err, but the best result is still returned, as it could be usable. If there is no result at all, then LobpcgResult::NoResult is returned. This happens if the algorithm fails in an early stage, for example if the matrix A is not SPD

Variants

Ok(Array1<A>, Array2<A>, Vec<A>)
Err(Array1<A>, Array2<A>, Vec<A>, LinalgError)
NoResult(LinalgError)

Trait Implementations

impl<A: Debug> Debug for LobpcgResult<A>[src]

Auto Trait Implementations

impl<A> RefUnwindSafe for LobpcgResult<A> where
    A: RefUnwindSafe, 

impl<A> Send for LobpcgResult<A> where
    A: Send, 

impl<A> Sync for LobpcgResult<A> where
    A: Sync, 

impl<A> Unpin for LobpcgResult<A> where
    A: Unpin, 

impl<A> UnwindSafe for LobpcgResult<A> where
    A: RefUnwindSafe + UnwindSafe, 

Blanket Implementations

impl<T> Any for T where
    T: 'static + ?Sized, [src]

impl<T> Borrow<T> for T where
    T: ?Sized, [src]

impl<T> BorrowMut<T> for T where
    T: ?Sized, [src]

impl<T> From<T> for T[src]

impl<T, U> Into<U> for T where
    U: From<T>, [src]

impl<T, U> TryFrom<U> for T where
    U: Into<T>, [src]

type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, [src]

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<V, T> VZip<V> for T where
    V: MultiLane<T>,