Struct ida::nonlinear::newton::Newton

pub struct Newton<M: ModelSpec> { /* fields omitted */ }

Trait Implementations

impl<M> NLSolver<M> for Newton<M> where
    M: ModelSpec,
    M::Scalar: Float + NumRef + NumAssignRef + Debug + LowerExp, 

fn new(size: usize, maxiters: usize) -> Self

Create a new NLSolver

fn solve<NLP, S1, S2, S3>(
    &mut self,
    problem: &mut NLP,
    y0: ArrayBase<S1, Ix1>,
    y: ArrayBase<S2, Ix1>,
    w: ArrayBase<S3, Ix1>,
    tol: M::Scalar,
    call_lsetup: bool
) -> Result<(), Error> where
    NLP: NLProblem<M>,
    S1: Data<Elem = M::Scalar>,
    S2: DataMut<Elem = M::Scalar>,
    S3: Data<Elem = M::Scalar>, 

Solves the nonlinear system F(y)=0 or G(y)=y.

fn get_num_iters(&self) -> usize

get the total number on nonlinear iterations (optional)

fn get_cur_iter(&self) -> usize

SUNNonlinSolGetCurIter get the iteration count for the current nonlinear solve

fn get_num_conv_fails(&self) -> usize

get the total number on nonlinear solve convergence failures (optional)

fn setup<S1>(&self, _y: &mut ArrayBase<S1, Ix1>) -> Result<(), Error> where
    S1: DataMut<Elem = M::Scalar>, 

Description The optional function SUNNonlinSolSetup performs any solver setup needed for a nonlinear solve.

impl<M: Clone + ModelSpec> Clone for Newton<M> where
    M::Scalar: Clone, 

fn clone(&self) -> Newton<M>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<M: Debug + ModelSpec> Debug for Newton<M> where
    M::Scalar: Debug, 

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

Formats the value using the given formatter.