Update num-dual requirement from 0.13 to 0.14

[dependabot]

Updates the requirements on num-dual to permit the latest version.

Release notes

Sourced from num-dual's releases.

v0.14.1

Fixed

• Fixed trait bounds in the Gradients trait to cover for certain edge cases.

Changelog

Sourced from num-dual's changelog.

[0.14.1] - 2026-06-14

Fixed

• Fixed trait bounds in the Gradients trait to cover for certain edge cases.

[0.14.0] - 2026-06-14

Changed

• Made inner field of Derivative struct public. #111
• Changed DualStruct<T, F> to DualStruct<F> to simplify some trait bounds. #109
• Specified from_py_object parameter for all #[pyclass] objects as this feature became opt-in rather than opt-out in pyo3 0.28.

Packaging

• Updated nalgebra dependency to 0.35.
• Updated simba dependency to 0.10.
• Updated pyo3 and numpy dependencies to 0.29 and removed deprecated extension-module feature.
• Updated maturin minimum required version to 1.9.4.
• Updated minimum supported Rust version to 1.89.

[0.13.7] - 2026-05-21

Added

• Added DualNumCopy<F> trait for dual numbers that have a static size.

Changed

• Added custom implementations of ComplexField::signum for Dual, Dual2, DualVec, and Dual2Vec. These implementations delegate to Signed::signum, which sets the derivative part to None and avoids the floating point errors of the default implementation. #105
• Extended the implementation of ComplexField and related traits from nalgebra to all (non-recursive) dual numbers via macros. #107

[0.13.6] - 2026-03-08

Fixed

• Fixed a bug around the manylinux and cpython versions in CI that lead to a cp38 wheel being built instead of the correct cp310-abi3 wheel. #104

[0.13.5] - 2026-03-08

Changed

• Added PartialOrd and PartialOrd<F> as supertraits to DualNum<F>. All comparisons are based on the real part of the generalized (hyper-) dual numbers to ensure that the execution path does not depend on the dual number type. #103
• Python: Added __richcmp__ to allow the comparison between dual numbers of the same type and dual numbers and floats also in Python. #101

[0.13.4] - 2026-02-20

Added

• Added partial3 in analogy to partial and partial2.

[0.13.3] - 2026-02-20

Changed

• Extended implicit_differentiation_sp to also handle dynamic variable arrays using the Gradients trait. #102

[0.13.2] - 2026-01-13

Added

• Added support for computing Jacobians in Python for arbitrary input sizes and increased the maximum number of variables that uses static allocation to 16 (from 10). #99
• Added implicit_differentiation_sp for implicit differentiation of stationary points. #100

[0.13.1] - 2025-12-17

Fixed

• Fixed the calculation of eigenvectors of 2x2 matrices with zeros as elements. #98

... (truncated)

Commits

• a17b0d5 Fix Gradients trait
• 71c0b3e Release v0.14.0
• f2dd260 Remove generics from DualStruct trait (#109)
• 55a5cb0 Update nalgebra 0.35, PyO3 and numpy 0.29 (#112)
• 8612364 Make inner field of Derivative public (#111)
• c9c3bbc Release v0.13.7
• 3c8a697 Minor performance improvements of the LU decomposition (#108)
• 5c22909 Move implementations of nalgebra trait into macros (#107)
• 382bb88 Custom implementations of ComplexField::signum that delegate to `Signed::si...
• 0485dc0 Release v0.13.6
• Additional commits viewable in compare view

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