SpectralProjectedNewton

optimization_solvers::newton::spn

Struct SpectralProjectedNewton 

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pub struct SpectralProjectedNewton { /* private fields */ }

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impl SpectralProjectedNewton

Auto-generated by derive_getters::Getters.

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pub fn grad_tol(&self) -> &Floating

Get field grad_tol from instance of SpectralProjectedNewton.

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pub fn x(&self) -> &DVector<Floating>

Get field x from instance of SpectralProjectedNewton.

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pub fn k(&self) -> &usize

Get field k from instance of SpectralProjectedNewton.

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pub fn lower_bound(&self) -> &DVector<Floating>

Get field lower_bound from instance of SpectralProjectedNewton.

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pub fn upper_bound(&self) -> &DVector<Floating>

Get field upper_bound from instance of SpectralProjectedNewton.

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pub fn lambda(&self) -> &Floating

Get field lambda from instance of SpectralProjectedNewton.

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pub fn lambda_min(&self) -> &Floating

Get field lambda_min from instance of SpectralProjectedNewton.

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pub fn lambda_max(&self) -> &Floating

Get field lambda_max from instance of SpectralProjectedNewton.

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impl SpectralProjectedNewton

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pub fn with_lambdas(self, lambda_min: Floating, lambda_max: Floating) -> Self

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pub fn new( grad_tol: Floating, x0: DVector<Floating>, oracle: &mut impl FnMut(&DVector<Floating>) -> FuncEvalMultivariate, lower_bound: DVector<Floating>, upper_bound: DVector<Floating>, ) -> Self

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impl ComputeDirection for SpectralProjectedNewton

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fn compute_direction( &mut self, eval: &FuncEvalMultivariate, ) -> Result<DVector<Floating>, SolverError>

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impl HasBounds for SpectralProjectedNewton

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fn lower_bound(&self) -> &DVector<Floating>

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fn set_lower_bound(&mut self, lower_bound: DVector<Floating>)

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fn set_upper_bound(&mut self, upper_bound: DVector<Floating>)

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fn upper_bound(&self) -> &DVector<Floating>

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impl LineSearchSolver for SpectralProjectedNewton

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fn has_converged(&self, eval: &FuncEvalMultivariate) -> bool

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fn xk(&self) -> &DVector<Floating>

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fn xk_mut(&mut self) -> &mut DVector<Floating>

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fn k(&self) -> &usize

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fn k_mut(&mut self) -> &mut usize

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fn update_next_iterate<LS: LineSearch>( &mut self, line_search: &mut LS, eval_x_k: &FuncEvalMultivariate, oracle: &mut impl FnMut(&DVector<Floating>) -> FuncEvalMultivariate, direction: &DVector<Floating>, max_iter_line_search: usize, ) -> Result<(), SolverError>

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fn setup(&mut self)

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fn evaluate_x_k( &mut self, oracle: &mut impl FnMut(&DVector<Floating>) -> FuncEvalMultivariate, ) -> Result<FuncEvalMultivariate, SolverError>

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fn minimize<LS: LineSearch>( &mut self, line_search: &mut LS, oracle: impl FnMut(&DVector<Floating>) -> FuncEvalMultivariate, max_iter_solver: usize, max_iter_line_search: usize, callback: Option<&mut dyn FnMut(&Self)>, ) -> Result<(), SolverError>

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fn borrow_mut(&mut self) -> &mut T

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T> HasProjectedGradient for T
where T: LineSearchSolver + HasBounds,

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fn projected_gradient(&self, eval: &FuncEvalMultivariate) -> DVector<Floating>

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fn is_in_subset(&self) -> bool

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fn to_subset_unchecked(&self) -> SS

Use with care! Same as self.to_subset but without any property checks. Always succeeds.
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fn from_subset(element: &SS) -> SP

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