Module compute::prelude[−][src]

Re-exports

pub use crate::distributions::*;

pub use crate::functions::*;

pub use crate::integrate::*;

pub use crate::linalg::*;

pub use crate::optimize::*;

pub use crate::predict::*;

pub use crate::signal::*;

pub use crate::statistics::*;

pub use crate::timeseries::*;

pub use crate::validation::*;

This module defines forward automatic differentiation. This mode of autodiff is most efficient when computing deriviatives with more inputs than outputs. It is also useful for computing Jacobian products.

Structs

F

A generic forward differentiation Dual number.

Traits

Float

Generic trait for floating point numbers

FloatConst

NumCast

An interface for casting between machine scalars.

One

Defines a multiplicative identity element for Self.

ReduceOrder

A Helper trait to drop the highest order derivative.

ToPrimitive

A generic trait for converting a value to a number.

Zero

Defines an additive identity element for Self.

Functions

diff

Evaluates the derivative of f at x0

grad

Evaluates the gradient of f at x0

Type Definitions

F1

First order differentiator.

F2

Second order differentiator.

F3