The maths in one place
One module holds the numerics: the types, the control-systems tooling, and the evaluator the console runs on.
The types
- Matrix — the workhorse: arithmetic, decompositions, reductions over all entries and along an axis, and the linear-algebra solvers.
- Polynomial, Spline — roots and fitting, with the spline degree reduced automatically when there are too few points to support it.
- Time series — a signal with its own time base, which is what a run hands back.
- Complex variable — for the places where the answer is not real.
The control-systems tooling
- Discretization of a continuous state-space model;
- State-space to transfer function conversion;
- Time response — step, impulse and the rest;
- Root locus;
- Block merging — series, parallel and feedback, which is what block reduction is built on.
And the rest
Calculus, geometry, optimisation and signal processing sit alongside them, together with the expression evaluator — the same one the command window uses, so an expression you can type into the console is an expression the SDK can evaluate.
G = tf([1],[1 2 1]) declared in the console, then read straight out of the variables space by the analysis tool — magnitude falling at 40 dB per decade and phase settling at −π, as a double pole at s = −1 should.One place, deliberately
These are not scattered helpers collected under a heading. Everything in the product that needs numerics asks this module, which is why the console, the solver, the block library and the code generators agree about what a matrix is and what an operation means.
See also: Eigen, wrapped · Python and MATLAB, both
See it run on your own model.
Download the application from the customer portal, or read the documentation first — the manual, every block with its measured response, and the full command reference are public.