In this note we consider splitting methods based on linear multistep methods and stabilizing corrections. To enhance the stability of the methods, we employ an idea of Bruno & Cubillos [5] who combine a high-order extrapolation formula for the explicit term with a formula of one order lower for the implicit terms. Several examples of the obtained multistep stabilizing correction methods are presented, and results on linear stability and convergence are derived. The methods are tested in the application to the well-known Heston model arising in financial mathematics and are found to be competitive with well-established one-step splitting methods from the literature
AbstractTo overcome the “order barrier” imposed by A-stability on linear multistep methods (LMMs), U...
This paper presents a new class of high order linear ImEx (implicit-explicit) multistep schemes with...
AbstractWe consider multistep quasi-Newton methods for unconstrained optimization. These methods wer...
textabstractThis paper contains a convergence analysis for the method of Stabilizing Corrections, wh...
With splitting technique, a new semi-analytical scheme with predictable strong convergence order 1.0...
. We show how certain widely used multistep approximation algorithms can be interpreted as instances...
In this technical note a general procedure is described to construct internally consistent splittin...
Convergence and stability of initial and boundary value multistep methods are analyzed for a class o...
In many applications, large systems of ordinary differential equations (ODEs) have to be solved nume...
Abstract. An important requirement of numerical me-thods for the integration of nonlinear sti ® init...
A comprehensive linear stability analysis of splitting methods is carried out by means of a 2 × 2 ma...
We consider multistep discretizations, stabilized by β-blocking, for Euler-Lagrange DAEs of index 2....
Numerical solution of differential equations using predictor-corrector multistep methods for stabili...
AbstractWe develop a framework employing scaling functions for the construction of multistep quasi-N...
summary:The paper is concerned with the numerical solution of ordinary differential equations by a n...
AbstractTo overcome the “order barrier” imposed by A-stability on linear multistep methods (LMMs), U...
This paper presents a new class of high order linear ImEx (implicit-explicit) multistep schemes with...
AbstractWe consider multistep quasi-Newton methods for unconstrained optimization. These methods wer...
textabstractThis paper contains a convergence analysis for the method of Stabilizing Corrections, wh...
With splitting technique, a new semi-analytical scheme with predictable strong convergence order 1.0...
. We show how certain widely used multistep approximation algorithms can be interpreted as instances...
In this technical note a general procedure is described to construct internally consistent splittin...
Convergence and stability of initial and boundary value multistep methods are analyzed for a class o...
In many applications, large systems of ordinary differential equations (ODEs) have to be solved nume...
Abstract. An important requirement of numerical me-thods for the integration of nonlinear sti ® init...
A comprehensive linear stability analysis of splitting methods is carried out by means of a 2 × 2 ma...
We consider multistep discretizations, stabilized by β-blocking, for Euler-Lagrange DAEs of index 2....
Numerical solution of differential equations using predictor-corrector multistep methods for stabili...
AbstractWe develop a framework employing scaling functions for the construction of multistep quasi-N...
summary:The paper is concerned with the numerical solution of ordinary differential equations by a n...
AbstractTo overcome the “order barrier” imposed by A-stability on linear multistep methods (LMMs), U...
This paper presents a new class of high order linear ImEx (implicit-explicit) multistep schemes with...
AbstractWe consider multistep quasi-Newton methods for unconstrained optimization. These methods wer...