Gaussian Quadrature Rule using ε-Quasiorthogonality
Abstract
We introduce a new type of quadrature, known as approximate Gaussian quadrature (AGQ) rules using ε-quasiorthogonality, for the approximation of integrals of the form ∫ f(x)d α(x). The measure α(·) can be arbitrary as long as it possesses finite moments μn for sufficiently large n. The weights and nodes associated with the quadrature can be computed in low complexity and their count is inferior to that required by classical quadratures at fixed accuracy on some families of integrands. Furthermore, we show how AGQ can be used to discretize the Fourier transform with few points in order to obtain short exponential representations of functions.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.