
doi: 10.1137/0913060
This paper outlines several ways to evaluate the integral of the product of two \(B\)-spline functions. Integrals of these forms arise in applications such as the finite element method and least squares function fitting when \(B\)-splines are used as basis functions. The splines may be of different orders and defined on different knot sequences. A detailed description of an algorithm that is based on integration by parts is given. The algorithm reduces the integral to a sum of evaluations of a higher-order spline. This reduction involves differentiating one spline by differencing its coefficients, and integrating the other by summing its coefficients.
algorithm, \(B\)-splines, finite element method, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, Numerical quadrature and cubature formulas, least squares function fitting, Numerical computation using splines, Approximate quadratures, Numerical smoothing, curve fitting, integration of products of \(B\)-splines
algorithm, \(B\)-splines, finite element method, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, Numerical quadrature and cubature formulas, least squares function fitting, Numerical computation using splines, Approximate quadratures, Numerical smoothing, curve fitting, integration of products of \(B\)-splines
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