Defect Correction for Nonlinear Elliptic Difference Equations.
Defect Correction from a Galerkin Viewpoint.
Defect correction methods for convection dominated convection-diffusion problems
Deferred Corrections Using Uncentered End Formulas.
Deflation Techniques for the Calculation of Further Solutions of a Nonlinear System.
Degenerate stationary problems with homogeneous boundary conditions.
Degenerate two-phase incompressible flow problems III: Perturbation analysis and numerical experiments.
Degeneration and complexity of bilinear maps: Some asymptotic spectra.
Degree of convergence of iterative algorithms for boundedly Lipschitzian strong pseudocontractions.
Delay-dependent stability of linear multi-step methods for linear neutral systems
In this paper, we are concerned with numerical methods for linear neutral systems with multiple delays. For delay-dependently stable neutral systems, we ask what conditions must be imposed on linear multi-step methods in order that the numerical solutions display stability property analogous to that displayed by the exact solutions. Combining with Lagrange interpolation, linear multi-step methods can be applied to the neutral systems. Utilizing the argument principle, a sufficient condition is derived...
Delay-dependent stability of Runge-Kutta methods for linear neutral systems with multiple delays
In this paper, we are concerned with stability of numerical methods for linear neutral systems with multiple delays. Delay-dependent stability of Runge-Kutta methods is investigated, i. e., for delay-dependently stable systems, we ask what conditions must be imposed on the Runge-Kutta methods in order that the numerical solutions display stability property analogous to that displayed by the exact solutions. By means of Lagrange interpolation, Runge-Kutta methods can be applied to neutral differential...
Dense output for extrapolation methods.
Densité des hypothèses assurant la convergence de l'algorithme de Remes
Density estimation with quadratic loss: a confidence intervals method
We propose a feature selection method for density estimation with quadratic loss. This method relies on the study of unidimensional approximation models and on the definition of confidence regions for the density thanks to these models. It is quite general and includes cases of interest like detection of relevant wavelets coefficients or selection of support vectors in SVM. In the general case, we prove that every selected feature actually improves the performance of the estimator. In the case...
Dependence of the buckling load of a nonshallow arch with respect to the shape of its midcurve
Dependent random variables with a given marginal distribution
Deployment/retrieval modeling of cable-driven parallel robot.
Der Einfluß von Randsingularitäten beim Ritzschen Verfahren. - Solution Effects of the Ritz Method.
Dérivabilité de l'erreur par rapport à la triangulation dans les méthodes d'éléments finis
Derivation of BDF coefficients for equidistant time step
We present the derivation of the explicit formulae of BDF coefficients for equidistant time step.