Integrator

class spdcalc.spdcalc.Integrator

Bases: object

Integrator for numerical integration

Use this class to choose a different numerical integration method.

The available methods are:

• Simpson’s rule

• Adaptive Simpson’s rule

• Gauss-Konrod quadrature

• Gauss-Legendre quadrature

• Clenshaw-Curtis quadrature

Methods Summary

adaptive_simpson([tolerance, max_depth])	Adaptive Simpson's rule
clenshaw_curtis([tolerance])	Clenshaw-Curtis quadrature
default()	Default integrator
gauss_konrod([tolerance, max_depth])	Gauss-Kronrod quadrature
gauss_legendre([degree])	Gauss-Legendre quadrature
simpson([divs])	Simpson's rule

Methods Documentation

static adaptive_simpson(tolerance=None, max_depth=None)

Adaptive Simpson’s rule

Parameters

tolerance: float, optional

The tolerance, by default 1e5

max_depth: int, optional

The maximum depth, by default 1_000_000

Returns

Integrator

The integrator

static clenshaw_curtis(tolerance=None)

Clenshaw-Curtis quadrature

Parameters

tolerance: float, optional

The tolerance, by default 1e5

Returns

Integrator

The integrator

static default()

Default integrator

The default is Simpson(divs=50).

static gauss_konrod(tolerance=None, max_depth=None)

Gauss-Kronrod quadrature

Parameters

tolerance: float, optional

The tolerance, by default 1e5

max_depth: int, optional

The maximum depth, by default 1_000_000

Returns

Integrator

The integrator

static gauss_legendre(degree=None)

Gauss-Legendre quadrature

Parameters

degree: int, optional

The degree of the quadrature, by default 40

Returns

Integrator

The integrator

static simpson(divs=None)

Simpson’s rule

Parameters

divs: int, optional

The number of divisions, by default 50

Returns

Integrator

The integrator