计算机辅助外科手术空间配准技术的研究

医学图像和实际手术空间的配准问题是计算机辅助外科手术技术的一个重要的研究热点,它能够帮助医生选择最佳手术路径和减小手术损伤,实现手术的方便快捷和微创,提高手术成功率。主要研究了一种基于ICP算法的计算机辅助外科手术中空间配准技术,通过获取实验模型的空间坐标信息,进行点集配准,找到最优旋转矩阵和最优平移向量。并通过仿真实验给出了模拟的配准结果,仿真试验结果表明,ICP算法配准精度高,适用于计算机辅助外科手术。     

A general formulation of monotonically convergent algorithms in the control of quantum dynamics beyond the linear dipole interaction

This paper presents a general method to formulate monotonically convergent algorithms for identifying optimal control fields to manipulate quantum dynamics phenomena beyond the linear dipole interaction. The method, facilitated by a field-dependent dipole moment operator, is based on an integral equation of the first kind arising from the Heisenberg equation of motion for tracking a time-dependent, dynamical invariant observable associated with a reference control field.     

Existence of optimal controls for systems driven by FBSDEs

We prove the existence of optimal relaxed controls as well as strict optimal controls for systems governed by non linear forward-backward stochastic differential equations (FBSDEs). Our approach is based on weak convergence techniques for the associated FBSDEs in the Jakubowski S-topology and a suitable Skorokhod representation theorem.     

定向完备偏序集上的模糊Scott拓扑

设L是一个完备剩余格,定义了定向完备偏序集上的Hohle意义下的满层L-拓扑,称之为模糊Scott拓扑;基于满层的L-滤子,建立了相应的Scott收敛理论。证明了一个定向完备偏序集是连续的当且仅当对于每一个满层的L-滤子,其Scott收敛等价于按模糊Scott拓扑收敛。     

级数sum from n=1 to ∞(α(α-1)…(α-n+1)x~n/n!)在x=±1处的敛散性研究

用比较原则及莱布尼兹判别法对函数f(x)=(1+x)α的马克劳林级数在x=±1的敛散情形给予讨论.     

An Accelerated Iterative Method for Simultaneously Determining All Roots of Polynomial Equation

In this paper, an accelerated iteration method for simultaneously determining of a polynomial equation's roots is proposed. The new method is an improvement of modified Newton method. At the same time, convergence properties and the order of convergence rate are discussed. At last, some numerical results are reported and listed.     

系数矩阵含参数分裂形式的SOR迭代法收敛性分析

给出预条件方后线性方程组的系数矩阵的一类含参数的分裂形式,使系数矩阵的分裂更加一般化,同时讨论在该形式下的SOR迭代法的收敛性,并与一般的预条件方法进行比较分析,说明这种方法收敛性更好,最后找到参数的最优选取.     

Solution of Systems of Equalities and Inequalities by the Method of Interior Points

A version of the Newton method is presented. In constructing an auxiliary problem, constraints in the form of inequalities are not considered and the classical extremal problem is solved. Inequalities are taken into account owing to a special choice of weighted coefficients and the step length. Local convergence of the proposed algorithm is studied. The convergence of successive approximations to a relatively interior admissible point of a non-linear system is established.     

关于双条件期望的几乎处处收敛性

引进了B值随机变量及可测集Γ的双条件期望的概念,对双条件期望的几乎处处收敛性给出一个较为一般的定理,使原来的结果更为简洁,使用起来更方便.     

人工蜂群算法研究综述

人工蜂群算法是近年来群智能方向的研究热点.首先介绍了蜂群算法的思想,然后从Markov链角度证明了蜂群算法的收敛性,从算法改进和算法应用两个方面对蜂群算法的研究现状进行了总结,与其他算法进行了优缺点的对比,最后指出了蜂群算法进一步研究的方向.