Enum LineSearch

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pub enum LineSearch {
    Armijo(Scalar, Scalar, usize),
    Goldstein(Scalar, Scalar, usize),
    Wolfe(Scalar, Scalar, Scalar, usize, bool),
}
Expand description

Available line search algorithms.

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Armijo(Scalar, Scalar, usize)

The Armijo condition.

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Goldstein(Scalar, Scalar, usize)

The Goldstein conditions.

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Wolfe(Scalar, Scalar, Scalar, usize, bool)

The Wolfe conditions.

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impl LineSearch

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pub fn backtrack<X, J>( &self, function: impl Fn(&X) -> Result<Scalar, OptimizeError>, jacobian: impl Fn(&X) -> Result<J, OptimizeError>, argument: &X, decrement: &X, step_size: &Scalar, ) -> Result<Scalar, OptimizeError>
where J: Jacobian, for<'a> &'a J: From<&'a X>, X: Solution, for<'a> &'a X: Mul<Scalar, Output = X>,

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impl Debug for LineSearch

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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 LineSearch

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fn default() -> Self

Returns the “default value” for a type. Read more

Auto Trait Implementations§

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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>,