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CHANGELOG.md

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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

[0.10.3] - 2024-11-14

Added

  • Added nalgebra compatibility for Dual2 and Dual2Vec. #81
  • Added atan2 to the DualNum trait. #85

[0.10.2] - 2024-11-06

Changed

  • Exposed macros for the implementation of the DualNum trait publicly. #83

[0.10.1] - 2024-11-05

Added

  • Expose the inner type of a generalized (hyper) dual number in the DualNum trait. #82

[0.10.0] - 2024-10-22

Packaging

  • Updated nalgebra dependency to 0.33. #75
  • Updated simba dependency to 0.9. #75
  • Updated pyo3 and numpy dependencies to 0.22. #80
  • Updated ndarray dependency to 0.16. #80
  • Increased minimum supported Rust version to 1.81. #77

Removed

  • Due to limitations in the numpy dependency, Python wheels for 32-bit Windows are no longer supported. #80

[0.9.1] - 2024-04-15

Added

  • Added serde feature that enables serialization and deserialization of all scalar dual numbers. #74

[0.9.0] - 2024-04-11

Packaging

  • Updated pyo3 and numpy dependencies to 0.21 and adapted to the new Bound API.

[0.8.1] - 2023-10-20

Packaging

  • Un-deprecated the linalg module.

[0.8.0] - 2023-10-15

Packaging

  • Updated pyo3 and numpy dependencies to 0.20.

[0.7.1] - 2023-05-31

Fixed

  • Added dedicated implementations for scalar dual numbers (Dual, Dual2, HyperDual) to avoid a performance regression introduced in 0.7.0. #68

[0.7.0] - 2023-05-29

Added

  • Added new HyerHyperDual number for the calculation of third partial derivatives. #51
  • Added new functions first_derivative, gradient, jacobian, second_derivative, hessian, third_derivative, second_partial_derivative, partial_hessian, third_partial_derivative and third_partial_derivative_vec that provide a convenient interface for the calculation of derivatives. #52
  • Added new functions try_first_derivative, try_gradient, try_jacobian, try_second_derivative, try_hessian, try_third_derivative, try_second_partial_derivative, try_partial_hessian, try_third_partial_derivative and try_third_partial_derivative_vec that provide the same functionalities for fallible functions. #52
  • Implemented the RealField and ComplexField traits from nalgebra for DualVec. #59
  • Added the python_macro feature that provides the impl_dual_num macro. #63

Changed

  • Renamed derive* methods to derivative*. #52
  • Generalized the implementation of vector dual numbers to use both statically and dynamically sized arrays internally. #58
  • Removed Copy, Send and Sync as supertraits of DualNum. The individual dual number data types still implement the traits if they are statically allocated. #58
  • Renamed type aliases from, e.g., DualVec to DualSVec and DualDVec for statically and dynamically allocated dual numbers, respectively. #58

Removed

  • Removed the StaticMat struct in favor of the analogous implementations from nalgebra. #52
  • Removed the derive* methods for vector types due to the change to nalgebra. #52
  • Removed the derive* functions in Python in favor of the aforementioned new functions. #52
  • Removed the build_wheel workspace crate. The main crate is now also used to build the Python package. #63

[0.6.0] - 2023-01-20

Added

  • Publicly exposed all Python classes that are being generated. #47
  • Exported the impl_dual_num macro that implements the arithmetic operators for dual numbers in Python. #47

Packaging

  • Updated pyo3 and numpy dependencies to 0.18. #49

[0.5.3] - 2022-11-11

Added

  • Implemented ScalarOperand for non-scalar dual numbers. #46

[0.5.2] - 2022-05-23

Added

  • Added method is_derivative_zero to check whether all non-real parts of a generalized dual number are zero. #43

[0.5.1] - 2022-03-09

Fixed

  • Removed unused features and added missing linalg feature. #41

[0.5.0] - 2022-03-08

Packaging

  • Updated pyo3 dependency to 0.16. #39

Removed

  • Removed ndarray-linalg feature. #38

[0.4.1] - 2021-12-20

Added

  • Added 0th, 1st and 2nd order Bessel functions of the first kind (bessel_j0, bessel_j1, bessel_j2) for double precision dual numbers. #36

[0.4.0] - 2021-12-16

Added

  • Implementations for LU decomposition and eigendecomposition of symmetric matrices that do not depend on external libraries (BLAS, LAPACK). #34

Packaging

  • Updated pyo3 dependency to 0.15.