numdiff 0.7.1

Numerical differentiation via forward-mode automatic differentiation and finite difference approximations.
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# Changelog

## 0.7.1

1. Added `numdiff::get_shessian!`.
1. Added `numdiff::get_vhessian!`.

## 0.7.0

1. Added `HyperDual` struct.
1. Added `HyperDualVector` trait.
1. Added `Dual::from_real` method for backend implementation of `Dual`.
1. Refactored backend of `Dual` to use `Dual::from_real(real)` in place of `Dual::new(0.0)`.
1. Enabled stricter lints.
1. Updated `linalg-traits` dependency from `0.14.0` to `0.15.0`.
1. Updated `trig` optional dependency from `0.3.1` to `0.4.0`.
1. Updated `numtest` dev dependency from `0.4.0` to `0.5.0`.

## 0.6.1

1. Improved crate-level documentation.

## 0.6.0

1. Updated automatic differentiation macros so optional `param_type` now represents the full type of `p` (e.g. `[Data]` for `&[Data]`), while the default remains `&[f64]`.

## 0.5.0

1. Added ability to pass custom types as extra runtime parameters to the automatic differentiation macros.

## 0.4.1

1. Fixed a stale note in the crate-level documentation.
1. Fixed some lints in unit testing.
1. Added examples for passing extra runtime parameters to all functions.

## 0.4.0

1. Updated `linalg-traits` dependency from `0.13.0` to `0.14.0`.
1. Updated `trig` optional dependency from `0.3.0` to `0.3.1`.
1. Updated `faer` dev dependency from `0.23.2` to `0.24.0`.
1. Updated `ndarray` dev dependency from `0.17.1` to `0.17.2`.
1. Updated `numtest` dev dependency from `0.3.1` to `0.4.0`.

## 0.3.1

1. Added examples passing runtime parameters into derivative functions that were generated via automatic differentiation at compile time.

## 0.3.0

1. Updated automatic differentiation to support providing runtime parameters to functions that were automatically differentiated at compile time. Essentially, functions that are autodifferentiated are now specified as `f(x,p)` instead of just `f(x)`.
1. Updated `linalg-traits` dependency from `0.12.1` to `0.13.0`.
1. Removed `once_cell` dependency.
1. Updated `trig` optional dependency from `0.2.1` to `0.3.0`.
1. Updated `faer` dev dependency from `0.22.6` to `0.23.2`.
1. Updated `nalgebra` dev dependency from `0.33.2` to `0.34.1`.
1. Updated `ndarray` dev dependency from `0.16.1` to `0.17.1`.

## 0.2.1

1. Updated `linalg-traits` dependency from `0.12.0` to `0.12.1`.
1. Updated `trig` optional dependency from `0.2.0` to `0.2.1`.
1. Updated `nalgebra` dev dependency from `0.33.2` to `0.34.0`.
1. Updated `numtest` dev dependency from `0.3.0` to `0.3.1`.

## 0.2.0

1. Updated `rust` version to 2024.
1. Updated `linalg-traits` dependency from `0.11.1` to `0.12.0`.
1. Updated `once_cell` dependency from `1.20.3` to `1.21.3`.
1. Updated `trig` optional dependency from `0.1.4` to `0.2.0`.
1. Updated `faer` dev dependency from `0.21.7` to `0.22.6`.
1. Updated `numtest` dev dependency from `0.2.2` to `0.3.0`.

## 0.1.6

1. Updated `linalg-traits` dependency from `0.9.1` to `0.11.1`.
    * This also adds support for using `faer::Mat` with any of the differentation functions/macros provided by this crate, including automatic differentiation.
1. Updated `once_cell` dependency from `1.1.19` to `1.20.3`.
1. Updated `trig` optional dependency from `0.1.3` to `0.1.4`.
1. Updated `nalgebra` dev dependency from `0.33.0` to `0.33.2`.
1. Updated `ndarray` dev dependency from `0.16.0` to `0.16.1`.
1. Updated `numtest` dev dependency from `0.2.0` to `0.2.2`.

## 0.1.5

1. Implemented the following forward-mode automatic differentiation macros:

    - `numdiff::get_jacobian!`

## 0.1.4

1. Implemented the following forward-mode automatic differentiation macros:

    - `numdiff::get_spartial_derivative!`
    - `numdiff::get_vpartial_derivative!`

## 0.1.3

1. Implemented the following forward-mode automatic differentiation macros:

    - `numdiff::get_directional_derivative!`

1. Swapped the order of the arguments to `numdiff::get_gradient!` to match the other forward-mode automatic differentiation macros.

## 0.1.2

1. Implemented the following forward-mode automatic differentiation macros:

    - `numdiff::get_sderivative!`
    - `numdiff::get_vderivative!`
    - `numdiff::get_gradient!`

## 0.1.1

1. Implemented the following central difference approximation differentiation functions:

    - `numdiff::central_difference::sderivative`
    - `numdiff::central_difference::vderivative`
    - `numdiff::central_difference::spartial`
    - `numdiff::central_difference::vpartial`
    - `numdiff::central_difference::gradient`
    - `numdiff::central_difference::directional_derivative`
    - `numdiff::central_difference::jacobian`
    - `numdiff::central_difference::shessian`
    - `numdiff::central_difference::vhessian`

## 0.1.0

1. Initial release.
1. Implemented the following forward difference approximation differentiation functions:

    - `numdiff::forward_difference::sderivative`
    - `numdiff::forward_difference::vderivative`
    - `numdiff::forward_difference::spartial`
    - `numdiff::forward_difference::vpartial`
    - `numdiff::forward_difference::gradient`
    - `numdiff::forward_difference::directional_derivative`
    - `numdiff::forward_difference::jacobian`
    - `numdiff::forward_difference::shessian`
    - `numdiff::forward_difference::vhessian`