半线性热方程的源项反问题

根据热方程的正问题理论,建立了一个联系附加数据和未知源项的积分恒等式并据此证明了非线性源项的存在唯一性．     

离散形式的声阻抗反演问题的稳定性分析

1．引言考虑一维声波方程组从脉冲响应州附ω（0.t）反演声阻抗ε（x）,是一个适定问题（[1],[2],[3]）．声阻抗ε（X）具有明确的物理意义,它大于民与之对应的脉冲响应自然也应具有某种特殊的性质,本文对此进行深入的分析．本文首先引入KennethP．Bube和RobertBurrdge关于离散形式的声阻抗反演问题的一些基本结果,分析其实物理系统的脉冲响应的特征,说明了真实物理系统的脉冲响应具有某种正定性,这种特征是本质性的,由真实物理系统的内部固有性质所决定．在实际计算中,作为观测数据给出的脉冲响应数据如果具有这种特征,则反…     

一类抛物型偏微分方程反问题的稳定性

本讨论一类抛物型偏微分方程反问题，研究测量值在特定边界上给定时源项确定的稳定性，在合理的假设下证明了该反问题具有按Lipschitz型连续依赖于测量值的稳定性，推广了Yamamoto的结果。     

识别Rayleigh-Stokes方程源项的分数阶Landweber迭代正则化方法

该文研究具有Riemann-Liouville时间分数阶导数的Rayleigh-Stokes方程未知源识别问题.首先证明这个问题是不适定的,并应用分数阶Landweber正则化方法求解此反问题.基于条件稳定性结果,在先验和后验正则化参数选取规则下,分别给出精确解与正则解之间的误差估计.最后通过数值例子说明此方法求解此类...     

代数特征值反问题之解的稳定性分析

考虑如下代数特征值反问题: 问题 G(A;{A_k}_1~n;λ).设 A=(a_(ij)),A_k=(a_(ij)~((k))),k=1,…,n是n+1个n×n的实对称矩阵,λ=(λ_1,…,λ_n)是n维实向量且λ_i≠λ_j,i≠j.求n维实向量c=(c_1,…,c_n)~T,使矩阵A(c)=A+sum from k=1 to n (c_kA_k)的特征值是λ_1,…,λ_n. 这一问题是经典加法问题的推广.当A_k-e_ke_k~~T(e_k是n阶单位阵的第k列)时,     

地热能开采中的反问题关于OLS解的稳定性

本文在有界区域上讨论地热能开采中的反问题关于OLS(output least squere)解的稳定性,即研究如何确定未知传热系数α(x)连续地依赖于由观测所得到的含水层的温度分布。     

两类矩阵反问题解的稳定性

1 引 言 用R~(n×m)表示所有n×m实矩阵的全体,R_r~(n×m)表示R~(n×m)中矩阵秩为r的子集。A>0(A≥0)表示方阵A是实对称正定(半正定)矩阵。SR_+~(n×n)(SR_0~(n×n)表示所有n×n实     

用于寻源导热反问题的自适应蚁群算法研究

建立以蚁群算法(ant colony optimization,ACO)为基础的二维稳态导热反问题的求解模型.模型根据边界测点的测量信息与计算所得到的测点温度进行比较,将导热反问题转化为一个优化问题.对蚁群算法进行改进,利用不同路径构造方法的自适应蚁群算法对热源强度、热源位置进行反演,得到较为精确的反演结果.结果表明,所采用的蚁群算法和针对不同反演参数的路径构造方法具有较强的稳定性,能够较好反演热源强度及热源位置.     

解含非线性源项的变分不等式问题的非重叠区域分解法

１．引言 近十几年来,变分不等式区域分解算法方面的研究取得了很多成果．特别是重叠型区域分解法方面的研究更是硕果累累,读者可参阅［１－８］等文献．而非重叠型区域分解法方面的研究目前相关结论不多,只有文献［９］针对线性算子单障碍问题提出了一类多子域非重叠区域分解算法（该方法的基本思想来自于工程中早已运用的子结构法）,证明了它的收敛性,并给出了收敛速度分析． 本文将针对含非线性源项的变分不等式问题提出一类多子域非重叠区域分解算法,并给出其收敛性和收敛速度分析． ２．问题及其有限元逼近 设ｎ为ＲＺ中有界凸多…     

一类带立方源项的Keller-Segel模型时变解的整体性态

本文研究一类带立方源项的Keller-Segel模型在齐次Neumann初边值问题下时变解的整体性态.证明了整体解的存在性及一致有界性;在比率b_2~2+4b_1b_3/χ适当大的情况下,证得该模型的正常数平衡解(u_c,v_c)是全局渐近稳定的.     

Local Stability for an Inverse Coefficient Problem of a Fractional Diffusion Equation

Time-fractional diffusion equations are of great interest and importance on describing the power law decay for diffusion in porous media. In this paper, to identify the diffusion rate, i.e., the heterogeneity of medium, the authors consider an inverse coefficient problem utilizing finite measurements and obtain a local Hlder type conditional stability based upon two Carleman estimates for the corresponding differential equations of integer orders.     

Exponential Tikhonov Regularization Method for Solving an Inverse Source Problem of Time Fractional Diffusion Equation

In this paper, we mainly study an inverse source problem of time fractional diffusion equation in a bounded domain with an over-specified terminal condition at a fixed time. A novel regularization method, which we call the exponential Tikhonov regularization method with a parameter $\gamma$, is proposed to solve the inverse source problem, and the corresponding convergence analysis is given under a-priori and a-posteriori regularization parameter choice rules. When $\gamma$ is less than or equal to zero, the optimal convergence rate can be achieved and it is independent of the value of $\gamma$. However, when $\gamma$ is greater than zero, the optimal convergence rate depends on the value of $\gamma$ which is related to the regularity of the unknown source. Finally, numerical experiments are conducted for showing the effectiveness of the proposed exponential regularization method.     

一个非标准逆热传导问题的具有对数稳定性的Fourier正则化方法

逆热传导问题是严重不适定问题,即问题的解(如果存在)将不连续依赖于测量数据,使其数值计算非常困难.但最近20 年来人们主要关注标准的逆热传导问题而对非标准情形研究较少.本文给出了一个非标准逆热传导问题的具有对数稳定性的Fourier正则化方法,恢复了解对数据的连续依赖性.     

Adjoint Method for an Inverse Problem of CCPF Model

The problem for determining the exchange rate function of 2D CCPF model by measurements on the partial boundary is considered and solved as one PDE-constraint optimization problem. The optimal variant is the minimum of a cost functional that quantifies the difference between the measurements and the exact solutions. Gradientbased algorithm is used to solve this optimization problem. At each step, the derivative of the cost functional with respect to the exchange rate function is calculated and only one forward solution and one adjoint solution are needed. One method based on the adjoint equation is developed and implemented. Numerical examples show the efficiency of the adjoint method.     

Two-Dimensional Parabolic Inverse Source Problem with Final Overdetermination in Reproducing Kernel Space

A new method of the reproducing kernel Hilbert space is applied to a twodimensional parabolic inverse source problem with the final overdetermination. The exact and approximate solutions are both obtained in a reproducing kernel space. The approximate solution and its partial derivatives are proved to converge to the exact solution and its partial derivatives, respectively. A technique is proposed to improve some existing methods. Numerical results show that the method is of high precision, and confirm the robustness of our method for reconstructing source parameter.     

Stability Estimates for the Inverse Conductivity Problem for Less Regular Conductivities

A log-type stability estimate for the inverse conductivity problem in space dimension n ≥ 3, if the conductivity has C ^3/2+ε regularity is proven.     

Inverse Obstacle Problem for the Non-Stationary Wave Equation with an Unknown Background

We consider boundary measurements for the wave equation on a bounded domain M ? ?² or on a compact Riemannian surface, and introduce a method to locate a discontinuity in the wave speed. Assuming that the wave speed consist of an inclusion in a known smooth background, the method can determine the distance from any boundary point to the inclusion. In the case of a known constant background wave speed, the method reconstructs a set contained in the convex hull of the inclusion and containing the inclusion. Even if the background wave speed is unknown, the method can reconstruct the distance from each boundary point to the inclusion assuming that the Riemannian metric tensor determined by the wave speed gives simple geometry in M. The method is based on reconstruction of volumes of domains of influence by solving a sequence of linear equations. For τ ∈C(?M) the domain of influence M(τ) is the set of those points on the manifold from which the distance to some boundary point x is less than τ(x).