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• W2090616302 abstract "We introduce a new ``convolution spline'' temporal approximation of time domain boundary integral equations (TDBIEs). It shares some properties of convolution quadrature (CQ) but, instead of being based on an underlying ODE solver, the approximation is explicitly constructed in terms of compactly supported basis functions. This results in sparse system matrices and makes it computationally more efficient than using the linear multistep version of CQ for TDBIE time-stepping. We use a Volterra integral equation (VIE) to illustrate the derivation of this new approach: at time step $t_n = ndt$ the VIE solution is approximated in a backwards-in-time manner in terms of basis functions $phi_j$ by $u(t_n-t) approx sum_{j=0}^n u_{n-j},phi_j(t/dt)$ for $t in [0,t_n]$. We show that using isogeometric B-splines of degree $mge 1$ on $[0,infty)$ in this framework gives a second order accurate scheme, but cubic splines with the parabolic runout conditions at $t=0$ are fourth order accurate. We establish a methodology for the stability analysis of VIEs and demonstrate that the new methods are stable for non-smooth kernels which are related to convergence analysis for TDBIEs, including the case of a Bessel function kernel oscillating at frequency $oo(1/dt)$. Numerical results for VIEs and for TDBIE problems on both open and closed surfaces confirm the theoretical predictions." @default.
• W2090616302 created "2016-06-24" @default.
• W2090616302 creator A5045427447 @default.
• W2090616302 creator A5054959668 @default.
• W2090616302 date "2014-09-01" @default.
• W2090616302 modified "2023-10-13" @default.
• W2090616302 title "Convolution spline approximations for time domain boundary integral equations" @default.
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• W2090616302 doi "https://doi.org/10.1216/jie-2014-26-3-369" @default.
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