Integral Approximation Algorithm
(Redirected from Numerical Integration Algorithm)
Jump to navigation
Jump to search
A Integral Approximation Algorithm is an numerical approximation algorithm that can be implemented by an integral approximation system (to solve an numerical integration task).
- Example(s):
- See: Deterministic Approximate Bayesian Inference Algorithm.
References
2016
- http://docs.scipy.org/doc/scipy/reference/tutorial/integrate.html
- QUOTE: The scipy.integrate sub-package provides several integration techniques including an ordinary differential equation integrator.
>>> help(integrate) Methods for Integrating Functions given function object. quad -- General purpose integration. dblquad -- General purpose double integration. tplquad -- General purpose triple integration. fixed_quad -- Integrate func(x) using Gaussian quadrature of order n. quadrature -- Integrate with given tolerance using Gaussian quadrature. romberg -- Integrate func using Romberg integration.
Methods for Integrating Functions given fixed samples. trapz -- Use trapezoidal rule to compute integral from samples. cumtrapz -- Use trapezoidal rule to cumulatively compute integral. simps -- Use Simpson's rule to compute integral from samples. romb -- Use Romberg Integration to compute integral from (2**k + 1) evenly-spaced samples.