A new polynomial formulation of variable step size linear multistep methods is presented, where each k-step method is characterized by a fixed set of k-1 or k parameters. This construction includes all methods of maximal order (p=k for stiff, and p=k+1 for nonstiff problems). Supporting time step adaptivity by construction, the new formulation is not based on extending classical fixed step size methods; instead classical methods are obtained as fixed step size restrictions within a unified framework. The methods are implemented in Matlab, with local error estimation and a wide range of step size controllers. This provides a platform for investigating and comparing different multistep method in realistic operational conditions. Computational...
In this paper, an order six implicit block multistep method is implemented for third order ordinary ...
A new formulation of explicit multistep methods allows variable step-sizes by construction. This for...
Strong stability preserving (SSP) methods are designed primarily for time integration of nonlinear h...
Multistep methods are classically constructed by specially designed difference operators on an equid...
We present a software package, Modes, offering h-adaptive and p-adaptive linear multistep methods fo...
Recently a new way of constructing variable step-size multistep methods has been proposed, that para...
Adaptive multistep methods have been widely used to solve initial value problems. These ordinary dif...
AbstractIn linear multistep methods with variable step size, the method's coefficients are functions...
We consider linear multistep methods that possess the TVD (total variation diminishing) or TVB (tota...
AbstractThe α-type multistep methods have the form of Yn+kαnYn+k-1+(αn-1)Yn+k-2=hn+kΣi=0kβi,nfn+1 wh...
During the numerical integration of a system of first order differential equations, practical algori...
AbstractIn this paper we derive new generalized multistep methods with variable stepsize for initial...
Backward differentiation methods are used extensively for integration of stiff systems of ordinary d...
AbstractThis paper deals with the achievement of explicit computable bounds for the global discretiz...
AbstractNumerical integration techniques which have been previously thought of as distinct are shown...
In this paper, an order six implicit block multistep method is implemented for third order ordinary ...
A new formulation of explicit multistep methods allows variable step-sizes by construction. This for...
Strong stability preserving (SSP) methods are designed primarily for time integration of nonlinear h...
Multistep methods are classically constructed by specially designed difference operators on an equid...
We present a software package, Modes, offering h-adaptive and p-adaptive linear multistep methods fo...
Recently a new way of constructing variable step-size multistep methods has been proposed, that para...
Adaptive multistep methods have been widely used to solve initial value problems. These ordinary dif...
AbstractIn linear multistep methods with variable step size, the method's coefficients are functions...
We consider linear multistep methods that possess the TVD (total variation diminishing) or TVB (tota...
AbstractThe α-type multistep methods have the form of Yn+kαnYn+k-1+(αn-1)Yn+k-2=hn+kΣi=0kβi,nfn+1 wh...
During the numerical integration of a system of first order differential equations, practical algori...
AbstractIn this paper we derive new generalized multistep methods with variable stepsize for initial...
Backward differentiation methods are used extensively for integration of stiff systems of ordinary d...
AbstractThis paper deals with the achievement of explicit computable bounds for the global discretiz...
AbstractNumerical integration techniques which have been previously thought of as distinct are shown...
In this paper, an order six implicit block multistep method is implemented for third order ordinary ...
A new formulation of explicit multistep methods allows variable step-sizes by construction. This for...
Strong stability preserving (SSP) methods are designed primarily for time integration of nonlinear h...