Charalambos Makridakis
University of Crete
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Featured researches published by Charalambos Makridakis.
Mathematics of Computation | 1998
Ohannes A. Karakashian; Charalambos Makridakis
The convergence of the discontinuous Galerkin method for the nonlinear (cubic) Schrodinger equation is analyzed in this paper. We show the existence of the resulting approximations and prove optimal order error estimates in L∞(L 2 ). These estimates are valid under weak restrictions on the space-time mesh.
Numerische Mathematik | 1999
Georgios Akrivis; Michel Crouzeix; Charalambos Makridakis
Summary. Efficient combinations of implicit and explicit multistep methods for nonlinear parabolic equations were recently studied in [1]. In this note we present a refined analysis to allow more general nonlinearities. The abstract theory is applied to a quasilinear parabolic equation.
Mathematics of Computation | 2005
Georgios Akrivis; Charalambos Makridakis; Ricardo H. Nochetto
We derive optimal order a posteriori error estimates for time discretizations by both the Crank-Nicolson and the Crank-Nicolson-Galerkin methods for linear and nonlinear parabolic equations. We examine both smooth and rough initial data. Our basic tool for deriving a posteriori estimates are second-order Crank-Nicolson reconstructions of the piecewise linear approximate solutions. These functions satisfy two fundamental properties: (i) they are explicitly computable and thus their difference to the numerical solution is controlled a posteriori, and (ii) they lead to optimal order residuals as well as to appropriate pointwise representations of the error equation of the same form as the underlying evolution equation. The resulting estimators are shown to be of optimal order by deriving upper and lower bounds for them depending only on the discretization parameters and the data of our problem. As a consequence we provide alternative proofs for known a priori rates of convergence for the Crank-Nicolson method.
Mathematics of Computation | 2006
Omar Lakkis; Charalambos Makridakis
We derive a posteriori error estimates for fully discrete approximations to solutions of linear parabolic equations. The space discretization uses finite element spaces that are allowed to change in time. Our main tool is an appropriate adaptation of the elliptic reconstruction technique, introduced by Makridakis and Nochetto. We derive novel a posteriori estimates for the norms of L∞(0, T; L2(Ω)) and the higher order spaces, L∞(0, T;H1(Ω)) and H1(0, T; L2(Ω)), with optimal orders of convergence.
Mathematics of Computation | 1998
Georgios Akrivis; Michel Crouzeix; Charalambos Makridakis
We approximate the solution of initial boundary value problems for nonlinear parabolic equations. In space we discretize by finite element methods. The discretization in time is based on linear multistep schemes. One part of the equation is discretized implicitly and the other explicitly. The resulting schemes are stable, consistent and very efficient, since their implementation requires at each time step the solution of a linear system with the same matrix for all time levels. We derive optimal order error estimates. The abstract results are applied to the Kuramoto-Sivashinsky and the Cahn-Hilliard equations in one dimension, as well as to a class of reaction diffusion equations in R v , v = 2,3.
SIAM Journal on Numerical Analysis | 1999
Ohannes A. Karakashian; Charalambos Makridakis
The convergence of a class of continuous Galerkin methods for the nonlinear (cubic) Schrodinger equation is analyzed in this paper. These methods allow variable temporal stepsizes as well as changing of the spatial grid from one time level to the next. We show the existence of the resulting approximations and prove optimal order error estimates in
Numerische Mathematik | 1999
Georgios T. Kossioris; Charalambos Makridakis; Panagiotis E. Souganidis
L^\infty (L^2 )
SIAM Journal on Numerical Analysis | 2009
Alan Demlow; Omar Lakkis; Charalambos Makridakis
and in
Numerische Mathematik | 2009
Georgios Akrivis; Charalambos Makridakis; Ricardo H. Nochetto
L^\infty (H^1 ) .
SIAM Journal on Numerical Analysis | 2012
Eberhard Bänsch; Fotini Karakatsani; Charalambos Makridakis
These estimates are valid under weak restrictions on the space-time mesh. These restrictions are milder if the elliptic projection is used at every time step instead of the L2 projection. We also give superconvergence results at the temporal nodes tn.