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Improved method of numerical inversion of two-dimensional Laplace transforms for dynamical systems simulation

机译:改进的二维拉普拉斯变换的数值反演方法,用于动力系统模拟

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Laplace transforms in two variables can very be useful in the solution of partial differential equations describing transient behaviour of linear dynamical systems. It is often either too difficult or even impossible to obtain their originals analytically, however. The paper presents a novel way of the numerical inversion of two-dimensional Laplace transforms (2D-NILT). The method comes Out the previous works where the 2D-NILT techniques based on the FFT and the ε-algorithm was elaborated. Here, however, quotient-difference algorithm of Rutishauser is used to accelerate the convergence of a two-dimensional complex Fourier series instead of the ε-algorithm. This leads to an improvement in the numerical stability of the method while the accuracy is approximatelly the same.
机译:在两个变量中的拉普拉斯变换在描述线性动力系统的瞬态行为的局部微分方程中非常有用。然而,它通常太难甚至无法分析原始的原件。本文介绍了二维拉普拉斯变换的数值反演的新方法(2D-NILT)。该方法出现了先前的作品,其中阐述了基于FFT和ε-算法的2D-NILT技术。然而,这里,RutishaUser的商差算法用于加速二维复合傅里叶系列而不是ε算法的收敛。这导致该方法的数值稳定性的改进,而准确率近似地相同。

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