[−][src]Struct benchmark_functions::Matyas
This is the Ackley function.
The function is borrowed from here. Although the function accepts a vector with an arbitrary number of inputs, this is what it looks like in 2D:
Trait Implementations
impl Function for Matyas[src]
const BOUNDS: (f64, f64)[src]
The bounds of the canonical sphere optimization problem are infinite.
const MINIMUM: f64[src]
The global minimum is constant and zero
fn f(x: Vec<f64>) -> f64[src]
Function for evaluating
fn minimizer(n: usize) -> Vec<f64>[src]
This function returns the minimizer (argument that will return the global minimum
Auto Trait Implementations
impl RefUnwindSafe for Matyas
impl Send for Matyas
impl Sync for Matyas
impl Unpin for Matyas
impl UnwindSafe for Matyas
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized, [src]
T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized, [src]
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized, [src]
T: ?Sized,
fn borrow_mut(&mut self) -> &mut T[src]
impl<T> From<T> for T[src]
impl<T, U> Into<U> for T where
U: From<T>, [src]
U: From<T>,
impl<T, U> TryFrom<U> for T where
U: Into<T>, [src]
U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>[src]
impl<T, U> TryInto<U> for T where
U: TryFrom<T>, [src]
U: TryFrom<T>,