Randomized, one-point-per-triangle quadrature assembles finite element systems for rough-coefficient elliptic equations with proven first-order convergence, and an importance-sampling variant reaches nearly second order for smooth data.
Randomized exponential integrators for modulated nonlinear Schr\"odinger equations
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abstract
We consider the nonlinear Schr\"odinger equation with dispersion modulated by a (formal) derivative of a time-dependent function with fractional Sobolev regularity of class $W^{\alpha,2}$ for some $\alpha\in (0,1)$. Due to the loss of smoothness in the problem classical numerical methods face severe order reduction. In this work, we develop and analyze a new randomized exponential integrator based on a stratified Monte Carlo approximation. The new discretization technique averages the high oscillations in the solution allowing for improved convergence rates of order $\alpha+1/2$. In addition, the new approach allows us to treat a far more general class of modulations than the available literature. Numerical results underline our theoretical findings and show the favorable error behavior of our new scheme compared to classical methods.
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Application of Randomized Quadrature Formulas to the Finite Element Method for Elliptic Equations
Randomized, one-point-per-triangle quadrature assembles finite element systems for rough-coefficient elliptic equations with proven first-order convergence, and an importance-sampling variant reaches nearly second order for smooth data.