Expand description
Request-level perturbation kernel (Phase 1 of the 0.33.0 decision-support train).
Re-exports§
pub use taxonomy::axes_in_group;pub use taxonomy::axis_meta;pub use taxonomy::AxisKind;pub use taxonomy::AxisMeta;pub use taxonomy::InputAxis;pub use taxonomy::InputGroup;pub use access::read_axis;pub use access::with_axis;pub use access::AxisValue;pub use access::KernelError;pub use derive::bisect_axis;pub use derive::central_difference;pub use derive::DifferenceScheme;pub use derive::Derivative;pub use derive::BISECTION_MAX_ITERATIONS;
Modules§
- access
- Reading and writing one taxonomy axis on a canonical request.
- derive
- Derived numerics over the perturbation kernel: central-difference derivatives (feeding an uncertainty/error budget) and monotone bisection (feeding tolerance envelopes).
- taxonomy
- The single input taxonomy for the decision-support train.
Structs§
- Observation
- One solved observation at one requested range.
Functions§
- evaluate
- Solve
reqonce and read a checked observation at each ofranges_m, in the order given.