Trait SMat

pub trait SMat {
    // Required methods
    fn nrows(&self) -> usize;
    fn ncols(&self) -> usize;
    fn nnz(&self) -> usize;
    fn svd_opa(&self, x: &[f64], y: &mut [f64], transposed: bool);
}

Sparse matrix

Required Methods

fn nrows(&self) -> usize

fn ncols(&self) -> usize

fn nnz(&self) -> usize

fn svd_opa(&self, x: &[f64], y: &mut [f64], transposed: bool)

Implementations on Foreign Types

impl SMat for CooMatrix<f64>

fn svd_opa(&self, x: &[f64], y: &mut [f64], transposed: bool)

takes an n-vector x and returns A*x in y

fn nrows(&self) -> usize

fn ncols(&self) -> usize

fn nnz(&self) -> usize

impl SMat for CscMatrix<f64>

fn svd_opa(&self, x: &[f64], y: &mut [f64], transposed: bool)

takes an n-vector x and returns A*x in y

fn nrows(&self) -> usize

fn ncols(&self) -> usize

fn nnz(&self) -> usize

impl SMat for CsrMatrix<f64>

fn svd_opa(&self, x: &[f64], y: &mut [f64], transposed: bool)

takes an n-vector x and returns A*x in y

fn nrows(&self) -> usize

fn ncols(&self) -> usize

fn nnz(&self) -> usize

Implementors