离散问题

A numerical solution of the isothermal EHL problem for finite line contacts has been pressnted which is convergence in moderate load and material parameters.

二。用差分格式离散二维Reynolds方程，通过间接求解的方法，推出了中等载荷和材料参数下收敛的等温有限长线接触弹流数值计算方法，有效地克服了等温有限长线接触Reynolds方程的强各向异性所产生的数值计算易发散问题。

And under two classes of perturbations, corresponding controller designs are presented.

二、研究了离散时滞大系统的分散镇定和弹性控制器的设计问题。

In chapter two ,we consider the Expanded Mixed Finite Method for the following quasilinear parabolic integro-differential equation.

在本章中我们给出了拟线性抛物问题的混合体积元的变分形式，并利用该方法得到了其真解与离散解的最优L~2模误差估计。

Structural topology optimization is formulated in terms of the nodal variables on the level set function , which is converted to 0-1 variables by Heaviside function regularized by the sigmoid function.

利用有限元离散后的水平集函数的节点值作为拓扑设计变量来求解连续体拓扑优化问题。

In this paper, combining the moving Kriging interpolation method and meshless local Petrov-Galerkin method, an improved meshless local Petrov-Galerkin method is presented, in which the Heaviside step function is used as test function over the local weak form.

本文将滑动Kriging插值方法与无网格局部Petrov-Galerkin法相结合，采用Heaviside分段函数作为局部弱形式的权函数，提出一种改进的无网格局部Petrov-Galerkin法，进一步将这种无网格法应用于位势问题，并推导出相应的离散方程。

Aiming at the problem of Markova chain state transition prediction, this paper presents equivalent prediction method and models based on Discrete Process Neural Networks. According to the description of system state transition problems in a certain condition, we discuss the equivalence relation between DPNN and Markov models.

针对Markov链状态转移预测，提出一种基于离散过程神经元网络的等效状态转移预测方法和模型，探讨DPNN与Markov模型在一定条件下对于系统状态转移特性描述的等价性问题。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。