numra-core 0.1.1

Core traits and types for the Numra numerical methods library: Scalar, Vector, Signal, Uncertainty, error model.
Documentation

numra-core

Foundational traits and types for the Numra workspace — Scalar, Vector, Signal, Uncertain<S>, and the workspace error model.

Crates.io docs.rs

numra-core defines the numeric vocabulary every other Numra crate shares: a Scalar trait that abstracts over f32 / f64, a Vector trait for state representations, a Signal trait for time-dependent forcings, and an Uncertain<S> primitive that propagates first-order mean / variance through arbitrary scalar pipelines. Optional no-std support for embedded targets.

Example

use numra_core::Uncertain;

// 1.0 ± 0.1 combined with 2.0 ± 0.2 — means add, variances add
let x = Uncertain::from_std(1.0_f64, 0.1);
let y = Uncertain::from_std(2.0_f64, 0.2);
let sum = x.add(&y);

assert!((sum.mean - 3.0).abs() < 1e-12);
assert!((sum.std() - (0.01_f64 + 0.04).sqrt()).abs() < 1e-12);

What's in this crate

  • Scalar trait — f32 / f64 abstraction with from_f64, to_f64, common constants, trig / exp / log methods
  • Vector trait — state-vector backbone for solvers and discretizations
  • Signal trait — Harmonic, Chirp, Pulse, Ramp, Step, Tabulated time-dependent forcings (plus FromFile with std)
  • Uncertain<S> — mean ± std primitive with add / sub / mul / div / scale / add_const methods
  • Interval<S> — interval-arithmetic primitive for worst-case error bounds
  • compute_sensitivities / ParameterSensitivity / ParameterSensitivityResult — finite-difference parameter-sensitivity helper and result type
  • NumraError / NumraResult / LinalgError — workspace-wide error model
  • std feature (default-on) — disable for no-std targets

Composes with

Every crate in the Numra workspace builds on numra-core. The Scalar and Vector traits define the shared numeric vocabulary that lets ODE / SDE / PDE solvers, optimizers, autodiff, and statistics exchange data without conversion or f64 bottlenecks. Signal lets a time-dependent forcing drop into any solver. Uncertain<S> carries first-order uncertainty through arbitrary scalar pipelines.

Install

[dependencies]
numra-core = "0.1"

Or via the umbrella crate:

[dependencies]
numra = "0.1"

Documentation

License

Numra Academic & Research License (Non-Commercial). Academic and research use is free; commercial use requires a separate license — contact contact@spectralautomata.com. See LICENSE.