The exponential fitting technique uses information on the expected behaviour of the solution of a differential problem to define accurate and efficient numerical methods. In particular, exponentially fitted methods are very effective when applied to problems with oscillatory solutions. In this cases, compared to standard methods, they have proved to be very accurate even using large integration steps. In this paper we consider exponentially fitted Runge-Kutta methods and we give characterizations of those that preserve local conservation laws of linear and quadratic quantities. As benchmark problems we consider wave equations arising as models in several fields such as fluid dynamics and quantum physics, and derive exponentially fitted methods that preserve their conservation laws of mass (or charge) and momentum. The proposed methods are applied to approximate breather wave solutions and are compared to other known methods of the same order.
翻译:指数齐备技术利用关于差别问题解决办法预期行为的信息来界定准确有效的数字方法,特别是,指数齐备方法在适用于流体动力学和量子物理学等若干领域的模型时非常有效,并得出能保持其质量(或电量)和动力的保存法的指数齐全方法,与标准方法相比,这些方法证明即使使用大型集成步骤,也非常准确。在本文中,我们考虑了指数齐备的龙格-库塔方法,并对保存当地线性和二次量保护法的方法进行了定性。作为基准问题,我们认为波方程式是流体动力和量子物理学等若干领域的模型,并得出了能保持其质量(或电量)和动力的保存法的指数齐全方法。拟议方法用于大致的呼吸波解决办法,并与已知的其他相同顺序方法作比较。