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8 changes: 8 additions & 0 deletions HISTORY.md
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## 0.15.1

Added Hessian support to the AD interface. Pass `order=2` to `prepare(adtype, problem, x)` to build a Hessian-capable evaluator. The new `value_gradient_and_hessian!!(prepared, x)` then returns `(value, gradient, hessian)` in a single call. Both the DifferentiationInterface and Mooncake extensions implement this.

`order=2` accepts the same `context::Tuple` and `check_dims` options as `order=1`. NamedTuple inputs are not supported with `order=2`.

The `AbstractPPLTestExt` conformance harness now provides a `:hessian` group covering value, gradient and Hessian round-trips, along with an order-mismatch edge case.

## 0.15.0

Added a new evaluator-preparation interface for AD backends. `prepare` binds a callable to a sample input, either a vector or a `NamedTuple`, and returns a `Prepared` wrapper. `value_and_gradient!!` and `value_and_jacobian!!` then compute value-and-derivative pairs from that wrapper. The `!!` suffix means the returned derivative may alias backend cache storage, so copy it if you need to keep it across calls.
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