Recursive quadrature integration is an iterative numerical integration method that works by recursively dividing a given integration interval into smaller sub-intervals. This method is more accurate and efficient than traditional numerical integration methods for complex functions. Here's an example implementation in MATLAB:
main.m1101 chars38 lines
This implementation first calculates the midpoint mid
of the given interval [a,b]
, and uses that to compute the function values fa
, fb
, and fm
at each endpoint and midpoint using the input function f
. It then calculates the trapezoidal integration trap
and Simpson's integration simp
of the whole interval using these function values. If the absolute difference between these two results is small enough (<= tol
), the function returns the Simpson's integration value as the final result. Otherwise, it recursively sub-divides the interval into two halves and finds the quadrature integration of each half using the same function. The recursion continues until the tolerance value is reached, and the function returns the sum of all the recursive sub-integrals as the final result.
gistlibby LogSnag