Struct AMGPreconditioner 

pub struct AMGPreconditioner<T>
where
    T: Float + Debug + Copy + 'static,
{ /* private fields */ }

AMG preconditioner implementation

Implementations

impl<T> AMGPreconditioner<T>

where T: Float + Debug + Copy + 'static,

pub fn new(matrix: &CsrArray<T>, options: AMGOptions) -> SparseResult<Self>

Create a new AMG preconditioner from a sparse matrix

Arguments

• matrix - The coefficient matrix
• options - AMG options

Returns

A new AMG preconditioner

Example

use scirs2_sparse::csr_array::CsrArray;
use scirs2_sparse::linalg::{AMGPreconditioner, AMGOptions};

// Create a simple matrix
let rows = vec![0, 0, 1, 1, 2, 2];
let cols = vec![0, 1, 0, 1, 1, 2];
let data = vec![2.0, -1.0, -1.0, 2.0, -1.0, 2.0];
let matrix = CsrArray::from_triplets(&rows, &cols, &data, (3, 3), false).unwrap();

// Create AMG preconditioner
let amg = AMGPreconditioner::new(&matrix, AMGOptions::default()).unwrap();

pub fn apply(&self, b: &ArrayView1<'_, T>) -> SparseResult<Array1<T>>

Apply the AMG preconditioner

Solves the system M * x = b approximately, where M is the preconditioner

Arguments

• b - Right-hand side vector

Returns

Approximate solution x

pub fn num_levels(&self) -> usize

Get the number of levels in the hierarchy

pub fn level_size(&self, level: usize) -> Option<(usize, usize)>

Get the size of the matrix at a given level

Trait Implementations

impl<T> Debug for AMGPreconditioner<T>

where T: Float + Debug + Copy + 'static + Debug,

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

Formats the value using the given formatter.