The symplectic geometric algorithm and the Ronge-Kutta algorithm are examined from the viewpoint of the algebraic dynamical algorithm.
从代数动力学算法的观点考察了辛几何算法和龙格-库塔算法的保真问题。
The second order stochastic Runge Kutta algorithm for systems driven by a single additive noise is generalized, which makes it more suitable for complex situation.
推广了单噪声驱动系统的二阶随机龙格库塔数值模拟算法，使之适用于关联白噪声和色噪声共同驱动的系统这一更为复杂的情况。
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