Taylor expansion method for nonlinear evolution equations

Introduction Thestudyofnonlinearevolutionequationsisafascinatingproblemwhichisattheveryheart oftheunderstandingofmanyimportantproblemsinthenaturalsciences[1,2].Thenonlinear evolutionequationsandtheirnumericalapproximationareveryimportantintheareasof theoreticalmathematicsandcomputationalmathematics.Aninterestingfeatureofthe approximationtheoryofthenonlinearevolutionequationsistheapplicationsofthefunctional analyticmethodstothenumericalapproximationofthenonlinearevolutionequations. Thispaperist…     

Modified integral-level set method for the constrained solving Global Optimization

The constrained global optimization problem being considered, a modified integral-level set method was illustrated based on Chew-Zheng‘s paper on Integral Global Optimizationand Wu‘s paper on Implementable Algorithm Convergence of Mottled Integral-Level SetMethod for Global Optimization Problem. It has two characters : 1 ) Each phase must constructa new function which has the same global optimal value as that of primitive objective function ;2) Comparing it with Zheng‘s method, solving level set procedure is avoided. Animplementable algorithm also is given and it is proved that this algorithm is convergent.     

CONVERGENCE OF NEWTON＇S METHOD FOR A MINIMIZATION PROBLEM IN IMPULSE NOISE REMOVAL

Recently, two-phase schemes for removing salt-and-pepper and random-valued impulse noise are proposed in [6, 7]. The first phase uses decision-based median filters to locate those pixels which are likely to be corrupted by noise (noise candidates). In the second phase, these noise candidates are restored using a detail-preserving regularization method which allows edges and noise-free pixels to be preserved. As shown in [18], this phase is equivalent to solving a one-dimensional nonlinear equation for each noise candidate.One can solve these equations by using Newton‘s method. However, because of the edgepreserving term, the domain of convergence of Newton‘s method will be very narrow. In this paper, we determine the initial guesses for these equations such that Newton‘s method will always converge.     

CONVERGENCE OF AN ALTERNATING A-φ SCHEME FOR QUASI-MAGNETOSTATIC EDDY CURRENT PROBLEM

We propose in this paper an alternating A-$\phi$ method for the quasi-magnetostatic eddy current problem by means of finite element approximations. Bounds for continuous and discrete error in finite time are given. And it is verified that provided the time step $\tau$ is sufficiently small, the proposed algorithm yields for finite time $T$ an error of $O(h+\tau^{1/2})$ in the $L^2$-norm for the magnetic field $H(= \mu^{-1} \nabla \times A)$, where $h$ is the mesh size, $\mu$ the magnetic permeability.     

Three-step relaxed hybrid steepest-descent methods for variational inequalities

The classical variational inequality problem with a Lipschitzian and strongly monotone operator on a nonempty closed convex subset in a real Hilbert space is studied. A new three-step relaxed hybrid steepest-descent method for this class of variational inequalities is introduced.Strong convergence of this method is established under suitable assumptions imposed on the algorithm parameters.     

三维非稳态热传导逆问题反演算法研究

利用表面温度测量来反演热传导方程中的热源项是一类典型的热传导逆问题,在采用有限体积法对三维非稳态热传导问题进行数值求解的基础上,将该热传导逆问题转化为优化问题,建立了伴随方程法和共轭梯度法这两类反演算法. 采用这两类算法对一个典型算例的计算结果表明:建立的两类反演算法是有效的,具有较好的抗噪性能. 此外,对反演算法中计算收敛准则的选取进行了较深入的分析,结果表明,由于热传导逆问题的不适定性,优化过程中目标函数值越小并不意味着反演结果与真值更为接近,可以通过设定合适的收敛准则来模拟正则化项的作用,克服不适定性的影响.      

变可信度模型管理优化设计方法在气动外形设计中的应用

在信赖域最优化方法的基础上,将梯度搜索方法与近似模型管理结构相结合,结合N-S方程与Euler方程,建立了一种用于气动外形设计的梯度AMF优化设计方法.该方法在气动优化中,通过对采用不同的流体控制方程的计算结果进行组织和管理,从而可以在优化迭代过程中将主要搜索过程集中在低可信度模型的计算上,并利用高可信度模型监控优化过程,使得最终的优化解收敛到高可信度模型上.本文采用梯度AMF气动优化设计方法进行翼型设计,取得了良好的设计效果,实际结果表明本文提出的方法具有可行性和适用性.     

横观各向同性饱和多孔半空间与圆板的动力相互作用

对横观各向同性饱和弹性半空间地基与弹性薄圆板的动力相互作用问题进行了系统地分析.板的挠度、荷载、地基反力及板下地基表面的沉降均被展开为二重Fourier-Bessel级数,这些级数中的待定系数由板的边界条件、板的控制方程及板-地基的相容条件加以确定,从而将饱和弹性半空间地基与弹性薄圆板的动力相互作用问题转化为数值积分和代数方程组的求解问题.数值计算表明,该级数解答具有较快的收敛速度.可以将该方法推广到弹性半空间与梁、矩形板相互作用问题的分析.     

基于宏观调控策略的结构损伤检测PSO改进算法

结构损伤检测是结构健康监测过程重要的一步,数学上常常转化为求解约束优化问题。针对粒子群优化(PSO)算法易于出现的"早熟问题",采用市场经济条件下的宏观调控策略对早熟前粒子群位置进行干涉,藉以增强PSO算法抵抗局部极小的能力,达到改进PSO算法的目的。四个基准测试函数极值问题分析结果验证了改进后的PSO算法优于带权重因子的PSO算法,两层刚架单损伤和多损伤数值仿真以及三层建筑框架结构四种损伤工况试验研究进一步证明了改进后的PSO算法在结构损伤检测领域的应用是有效可行的。     

关于奇异非线性方程组的Newton法的收敛性

在Lipschitz条件下,建立了为求奇异非线性方程组的解的Newton法收敛的判别条件．同时也给出了Newton法收敛球的半径的估计．