The paper presents fourth order Runge–Kutta methods derived from symmetric Hermite– Obreshkov schemes by suitably approximating the involved higher derivatives. In particular, starting from the multi-derivative extension of the midpoint method we have obtained a new symmetric implicit Runge–Kutta method of order four, for the numerical solution of first-order differential equations. The new method is symplectic and is suitable for the solution of both initial and bound-ary value Hamiltonian problems. Moreover, starting from the conjugate class of multi-derivative trapezoidal schemes, we have derived a new method that is conjugate to the new symplectic method
12 pages, 1 table, 23rd Congress on Differential Equations and Applications, CEDYA 2013International...
For the numerical treatment of Hamiltonian differential equations, symplectic integrators are the mo...
Much recent work has indicated that considerable benefit arises from the use of symplectic algorithm...
The paper presents fourth order Runge–Kutta methods derived from symmetric Hermite– Obreshkov scheme...
Conjugate symplecticity up to order p 2 of p-th one-step multi-derivative methods based on an extens...
Multi-derivative one-step methods based upon Euler–Maclaurin integration formulae are considered for...
This paper investigates the conservative behaviour of two-step Runge-Kutta (TSRK) methods and multis...
The long-time integration of Hamiltonian differential equations requires special numerical methods. ...
AbstractThe construction of exponentially fitted Runge–Kutta (EFRK) methods for the numerical integr...
The class of A-stable symmetric one-step Hermite–Obreshkov (HO) methods introduced by F. Losca...
AbstractWe investigate the symplecticity of multistep Runge-Kutta methods (MRKMs) as general linear ...
Multisymplectic integration is a relatively new addition to the field of geometric integration, whi...
For the numerical treatment of Hamiltonian differential equations, symplectic integra-tors are the m...
We introduce a class of methods of order two that exactly preserve the Hamiltonian function of separ...
Symplectic Runge-Kutta schemes for integration of general Hamiltonian systems are implicit. In pract...
12 pages, 1 table, 23rd Congress on Differential Equations and Applications, CEDYA 2013International...
For the numerical treatment of Hamiltonian differential equations, symplectic integrators are the mo...
Much recent work has indicated that considerable benefit arises from the use of symplectic algorithm...
The paper presents fourth order Runge–Kutta methods derived from symmetric Hermite– Obreshkov scheme...
Conjugate symplecticity up to order p 2 of p-th one-step multi-derivative methods based on an extens...
Multi-derivative one-step methods based upon Euler–Maclaurin integration formulae are considered for...
This paper investigates the conservative behaviour of two-step Runge-Kutta (TSRK) methods and multis...
The long-time integration of Hamiltonian differential equations requires special numerical methods. ...
AbstractThe construction of exponentially fitted Runge–Kutta (EFRK) methods for the numerical integr...
The class of A-stable symmetric one-step Hermite–Obreshkov (HO) methods introduced by F. Losca...
AbstractWe investigate the symplecticity of multistep Runge-Kutta methods (MRKMs) as general linear ...
Multisymplectic integration is a relatively new addition to the field of geometric integration, whi...
For the numerical treatment of Hamiltonian differential equations, symplectic integra-tors are the m...
We introduce a class of methods of order two that exactly preserve the Hamiltonian function of separ...
Symplectic Runge-Kutta schemes for integration of general Hamiltonian systems are implicit. In pract...
12 pages, 1 table, 23rd Congress on Differential Equations and Applications, CEDYA 2013International...
For the numerical treatment of Hamiltonian differential equations, symplectic integrators are the mo...
Much recent work has indicated that considerable benefit arises from the use of symplectic algorithm...