Module poly 

Polynomials with coefficients stored highest power first, like NumPy’s legacy np.poly* functions (np.polyval, np.polyfit, np.roots, …).

[1.0, -3.0, 2.0] is x^2 - 3x + 2. The numerical kernels live in the private kernels module and work on plain Vec<f64> / &[f64]; the public Array-level wrappers live in api.rs.

Roots are complex in general. rustnum v0.1 has no complex dtype, so roots returns the real and imaginary parts as two arrays (re, im).

Functions

polyadd

Sum of two polynomials, like np.polyadd(a, b).

polyder

m-th derivative of a polynomial, like np.polyder(p, m).

polydiv

Polynomial division u / v, like np.polydiv(u, v); returns (quotient, remainder).

polyfit

Least-squares polynomial fit of degree deg, like np.polyfit(x, y, deg).

polyint

m-fold antiderivative of a polynomial, like np.polyint(p, m, k).

polymul

Product of two polynomials, like np.polymul(a, b) (a convolution of the coefficients).

polysub

Difference of two polynomials, like np.polysub(a, b).

polyval

Evaluate a polynomial at x, like np.polyval(p, x).

roots

Roots of a polynomial, like np.roots(p); returns (re, im) arrays of length degree.