9 pages, 5 figures9 pages, 5 figures9 pages, 5 figuresHigh order finite-difference or spectral methods are typically problematic in approximating a function with a jump discontinuity. Some common remedies come with a cost in accuracy near discontinuities, or in computational cost, or in complexity of implementation. However, for certain classes of problems involving piecewise analytic functions, the jump in the function and its derivatives are known or easy to compute. We show that high-order or spectral accuracy can then be recovered by simply adding to the Lagrange interpolation formula a linear combination of the jumps. Discretizations developed for smooth problems are thus easily extended to nonsmooth problems. Furthermore, in the conte...
This paper addresses the recovery of piecewise smooth functions from their discrete data. Reconstru...
In this paper, a well-conditioned collocation method is constructed for solving general $p$th order ...
This paper addresses the recovery of piecewise smooth functions from their discrete data. Reconstru...
Abstract: "An initial value problem with piecewise constant coefficients is considered. The accuraci...
The accuracy of adaptively chosen, mapped polynomial approximations is studied for functions with st...
In the conventional pseudo-spectral collocation method to solve an ordinary first order differential...
This paper addresses the recovery of piecewise smooth functions from their discrete data. Reconstru...
This work continues our previous studies of algorithms for accelerating the convergence of pseudospe...
This is the published version, also available here: http://dx.doi.org/10.1137/S1064827595291984.The ...
This is the published version, also available here: http://dx.doi.org/10.1137/S1064827595291984.The ...
Pseudospectral collocation is employed for the numerical solution of nonlinear two-point boundary va...
Pseudospectral vs finite difference methods for initial value problems with discontinuous coefficien...
AbstractA least-squares spectral collocation scheme for discontinuous problems is proposed. For the ...
Pseudospectral differentiation matrices suffer from large round-off error, and give rise to illcondi...
Pseudospectral discretizations of differential equations are much more accurate than finite differen...
This paper addresses the recovery of piecewise smooth functions from their discrete data. Reconstru...
In this paper, a well-conditioned collocation method is constructed for solving general $p$th order ...
This paper addresses the recovery of piecewise smooth functions from their discrete data. Reconstru...
Abstract: "An initial value problem with piecewise constant coefficients is considered. The accuraci...
The accuracy of adaptively chosen, mapped polynomial approximations is studied for functions with st...
In the conventional pseudo-spectral collocation method to solve an ordinary first order differential...
This paper addresses the recovery of piecewise smooth functions from their discrete data. Reconstru...
This work continues our previous studies of algorithms for accelerating the convergence of pseudospe...
This is the published version, also available here: http://dx.doi.org/10.1137/S1064827595291984.The ...
This is the published version, also available here: http://dx.doi.org/10.1137/S1064827595291984.The ...
Pseudospectral collocation is employed for the numerical solution of nonlinear two-point boundary va...
Pseudospectral vs finite difference methods for initial value problems with discontinuous coefficien...
AbstractA least-squares spectral collocation scheme for discontinuous problems is proposed. For the ...
Pseudospectral differentiation matrices suffer from large round-off error, and give rise to illcondi...
Pseudospectral discretizations of differential equations are much more accurate than finite differen...
This paper addresses the recovery of piecewise smooth functions from their discrete data. Reconstru...
In this paper, a well-conditioned collocation method is constructed for solving general $p$th order ...
This paper addresses the recovery of piecewise smooth functions from their discrete data. Reconstru...