Struct NewtonRaphson

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pub struct NewtonRaphson {
    pub abs_tol: Scalar,
    pub line_search: Option<LineSearch>,
    pub max_steps: usize,
}
Expand description

The Newton-Raphson method.

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§abs_tol: Scalar

Absolute error tolerance.

§line_search: Option<LineSearch>

Line search algorithm.

§max_steps: usize

Maximum number of steps.

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impl Debug for NewtonRaphson

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

Formats the value using the given formatter. Read more
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impl Default for NewtonRaphson

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fn default() -> Self

Returns the “default value” for a type. Read more
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impl<F, J, X> FirstOrderRootFinding<F, J, X> for NewtonRaphson
where F: Jacobian, for<'a> &'a F: Div<J, Output = X> + From<&'a X>, J: Hessian, X: Solution, for<'a> &'a X: Mul<Scalar, Output = X>, for<'a> &'a Matrix: Mul<&'a X, Output = Vector>,

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fn root( &self, function: impl Fn(&X) -> Result<F, OptimizeError>, jacobian: impl Fn(&X) -> Result<J, OptimizeError>, initial_guess: X, equality_constraint: EqualityConstraint, ) -> Result<X, OptimizeError>

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impl<J, H, X> SecondOrderOptimization<f64, J, H, X> for NewtonRaphson
where H: Hessian, J: Jacobian, for<'a> &'a J: Div<H, Output = X> + From<&'a X>, X: Solution, for<'a> &'a X: Mul<Scalar, Output = X>, for<'a> &'a Matrix: Mul<&'a X, Output = Vector>,

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fn minimize( &self, function: impl Fn(&X) -> Result<Scalar, OptimizeError>, jacobian: impl Fn(&X) -> Result<J, OptimizeError>, hessian: impl Fn(&X) -> Result<H, OptimizeError>, initial_guess: X, equality_constraint: EqualityConstraint, banded: Option<Banded>, ) -> Result<X, OptimizeError>

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
where T: ?Sized,

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

Mutably borrows from an owned value. Read more
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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, U> Into<U> for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
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impl<A, Y, U> OdeSolver<Y, U> for A
where A: Debug, Y: Tensor, U: TensorVec<Item = Y>,