In applied mathematics, adaptive quadrature is a process in which the integral of a function is approximated using static quadrature rules on adaptively refined subintervals of the integration domain. Generally, adaptive algorithms are just as efficient and effective as traditional algorithms for "well-behaved" integrands, but are also effective for "badly-behaved" integrands for which traditional algorithms fail.
Read more about Adaptive Quadrature: General Scheme, Basic Quadrature Rules, Error Estimation, Subdivision Logic
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