1) adjoint partial differential equation
伴随偏微分方程
2) adjoint differential equation
伴随微分方程
4) stochastic partial differential equation
随机偏微分方程
1.
In this paper,using a Picard type method of approximation,we research the existence and uniqueness of solutions of stochastic partial differential equations whose coefficients satisfy non-Lipschitz condition and are non-time-homogeneous,generalizing Denis and Stoica s results in [1].
在系数满足非时齐非Lipschitz条件下,利用Picard型逼近法研究了随机偏微分方程解的存在性和唯一性,把Denis和Stoica文章(2004)中相应结论推广到更一般情形,并给出两个具体的例子。
2.
It is proved that, under natural hypotheses, the process is absolutely continuous with respect to the Lebesgue measure and the density process has a continuous version which satisfies a stochastic partial differential equation.
我们证明在自然假设下该过程关于Lebesgue测度是绝对连续的，其密度有连续修正且满足一个随机偏微分方程。
5) adjoint system of differential equations
微分方程的伴随系
6) adjoint linear differential equation
伴随线性微分方程
补充资料：伴随
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