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首页> 外文期刊>Latin American Applied Research >Linearly implicit discrete event methods for stiff ODE's.
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Linearly implicit discrete event methods for stiff ODE's.

机译:刚性ODE的线性隐式离散事件方法。

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This paper introduces two new numerical methods for integration of stiff ordinary differential equations. Following the idea of quantization based integration, i.e., replacing the time discretization by state quantization, the new methods perform first and second order backward approximations allowing to simulate stiff systems. It is shown that the new algorithms satisfy the same theoretical properties of previous quantization-based integration methods. The translation of the new algorithms into a discrete event (DEVS) specification and its implementation in a DEVS simulation tool is discussed. The efficience of the methods is illustrated comparing the simulation of two examples with the classic methods implemented by Matlab/Simulink.
机译:本文介绍了两种用于刚性常微分方程积分的新数值方法。遵循基于量化的积分的想法,即用状态量化代替时间离散化,新方法执行一阶和二阶向后逼近,从而可以模拟刚性系统。结果表明,新算法满足了以前基于量化的积分方法的相同理论特性。讨论了将新算法转换为离散事件(DEVS)规范及其在DEVS仿真工具中的实现。通过将两个示例的仿真与Matlab / Simulink实现的经典方法进行比较,说明了这些方法的效率。

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