pub struct JacobianOperations;Expand description
Jacobian matrix operations
Implementations§
Source§impl JacobianOperations
impl JacobianOperations
Sourcepub fn compute(
functions: &[Expression],
variables: &[Symbol],
) -> Vec<Vec<Expression>>
pub fn compute( functions: &[Expression], variables: &[Symbol], ) -> Vec<Vec<Expression>>
Compute Jacobian matrix for vector-valued function F: ℝⁿ → ℝᵐ
§Examples
use mathhook_core::simplify::Simplify;
use mathhook_core::calculus::derivatives::Derivative;
use mathhook_core::calculus::derivatives::PartialUtils;
use mathhook_core::calculus::derivatives::MatrixUtils;
use mathhook_core::{Expression};
use mathhook_core::symbol;
use mathhook_core::calculus::derivatives::JacobianOperations;
let x = symbol!(x);
let y = symbol!(y);
let functions = vec![
Expression::mul(vec![Expression::symbol(x.clone()), Expression::symbol(y.clone())]),
Expression::add(vec![Expression::symbol(x.clone()), Expression::symbol(y.clone())])
];
let variables = vec![x, y];
let jacobian = JacobianOperations::compute(&functions, &variables);Sourcepub fn compute_cached(
functions: &[Expression],
variables: &[Symbol],
cache: &mut HashMap<String, Expression>,
) -> Vec<Vec<Expression>>
pub fn compute_cached( functions: &[Expression], variables: &[Symbol], cache: &mut HashMap<String, Expression>, ) -> Vec<Vec<Expression>>
Compute Jacobian matrix with caching for repeated variable sets
§Examples
use mathhook_core::{Expression};
use mathhook_core::symbol;
use mathhook_core::calculus::derivatives::JacobianOperations;
use std::collections::HashMap;
let x = symbol!(x);
let y = symbol!(y);
let functions = vec![
Expression::symbol(x.clone()),
Expression::symbol(y.clone())
];
let variables = vec![x, y];
let mut cache = HashMap::new();
let jacobian = JacobianOperations::compute_cached(&functions, &variables, &mut cache);Sourcepub fn transpose(
functions: &[Expression],
variables: &[Symbol],
) -> Vec<Vec<Expression>>
pub fn transpose( functions: &[Expression], variables: &[Symbol], ) -> Vec<Vec<Expression>>
Compute transpose of Jacobian matrix
§Examples
use mathhook_core::{Expression};
use mathhook_core::symbol;
use mathhook_core::calculus::derivatives::JacobianOperations;
let x = symbol!(x);
let y = symbol!(y);
let functions = vec![
Expression::symbol(x.clone()),
Expression::symbol(y.clone())
];
let variables = vec![x, y];
let jacobian_t = JacobianOperations::transpose(&functions, &variables);Auto Trait Implementations§
impl Freeze for JacobianOperations
impl RefUnwindSafe for JacobianOperations
impl Send for JacobianOperations
impl Sync for JacobianOperations
impl Unpin for JacobianOperations
impl UnwindSafe for JacobianOperations
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
Source§impl<T> IntoEither for T
impl<T> IntoEither for T
Source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left is true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moreSource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read more