Enum LaplacianNormalization 

pub enum LaplacianNormalization {
    Unnormalized,
    Symmetric,
    Left,
    Right,
}

Normalization of the Laplacian matrix (igraph_laplacian_normalization_t), used by Graph::get_laplacian, Graph::get_laplacian_sparse and Graph::get_laplacian_sparsemat.

A is the (possibly weighted) adjacency matrix and D the diagonal matrix of degrees (or strengths, if weighted); out-, in- or total degrees are used according to the mode argument.

Variants

Unnormalized

Unnormalized Laplacian, L = D - A.

Symmetric

Symmetrically normalized Laplacian, L = I - D^(-1/2) A D^(-1/2).

Left

Left-stochastic normalized Laplacian, L = I - D^-1 A (rows sum to zero when D holds the row sums of A, e.g. out-degrees).

Right

Right-stochastic normalized Laplacian, L = I - A D^-1 (columns sum to zero when D holds the column sums of A, e.g. in-degrees).

Trait Implementations

impl Clone for LaplacianNormalization

fn clone(&self) -> LaplacianNormalization

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for LaplacianNormalization

impl Debug for LaplacianNormalization

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for LaplacianNormalization

fn default() -> Self

LaplacianNormalization::Unnormalized.

impl Eq for LaplacianNormalization

impl From<LaplacianNormalization> for igraph_laplacian_normalization_t

fn from(value: LaplacianNormalization) -> igraph_laplacian_normalization_t

Converts to this type from the input type.

impl Hash for LaplacianNormalization

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for LaplacianNormalization

fn eq(&self, other: &LaplacianNormalization) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for LaplacianNormalization

impl TryFrom<u32> for LaplacianNormalization

type Error = Error

The type returned in the event of a conversion error.

fn try_from(value: igraph_laplacian_normalization_t) -> Result<Self>

Performs the conversion.