关于波动方程混合问题的特征线方法

传统的求解1维波动方程混合问题的方法是分离变量法，进而解出该问题的Fourier级数解，本文将用特征线方法给出该问题在求解区域内解的显式表达式。     

变厚度圆薄板在均布载荷下大挠度问题

本文首先给出变厚度圆薄板大挠度方程,用小参数方法和修正迭代法联合求解此问题,得到三次近似解;给出特征曲线同线性理论进行了比较.     

一类抛物型偏微分方程的特征中心差分方法

运用特征中心差分方法来求解一类抛物型偏微分方程.通过对网格的不均匀剖分来离散方程,得到方程的特征中心差分格式.作了H1误差估计,给出了相应的定理.数值实验表明该方法对解此类问题是高效稳定的.     

求解流函数涡度方程的特征线—差分方法

本文讨论了用特征线方法与有限差分方法相结合的数值方法(特征线—差分方法)求解流函数涡度形式的Navier-Stokes方程的问题.证明了该方法的收敛性,给出了数值例子.     

两相渗流问题特征混合元数值模拟方法

本文提出求解两相渗流问题的一类克服数值弥散的特征混合元方法,用混合元法求解压力方程,利用后退特征线方法导出饱和度沿流线的移动;证明了格式的L_∞稳定性和收敛性,并给出最优阶的误差估计。     

幂模糊数方程和二次模糊方程的结构元求解方法

定义了幂模糊数和幂模糊数方程,基于结构元方法研究了幂模糊数运算和幂模糊数方程的求解,给出了隶属函数的表达式.同时,利用区间[-1,1]上的单调函数将二次模糊方程的求解问题转化为经典参数方程组的求解问题,给出了二次模糊方程解存在的充要条件,并辅以数值例子.     

广义Camassa-Holm方程的几种新结论

给出一种辅助方程的几种新结论, 构造了广义 Camassa-Holm 方程的多种无穷序列新解. 首先, 利用首次积分与函数变换, 给出了一种辅助方程的新解、B¨acklund 变换和解的非线性叠加公式. 然后, 通过函数变换, 把广义Camassa-Holm 方程的求解问题转化为非线性常微分方程的求解问题. 最后, 借助符号计算系统 Mathematica, 构造了广义Camassa-Holm方程的多种无穷序列新解.     

求解动力学问题的普遍方法

本文阐明了标准化的Routh方程[1]的应用,给出了求解系统动力学问题的约束反力及运动状态变化的普遍方法,并给出了相应的矩阵方程。     

广义Camassa-Holm方方程的几种新结论

给出一种辅助方程的几种新结论,构造了广义Camassa-Holm方程的多种无穷序列新解.首先,利用首次积分与函数变换,给出了一种辅助方程的新解、B¨acklund变换和解的非线性叠加公式.然后,通过函数变换,把广义Camassa-Holm方程的求解问题转化为非线性常微分方程的求解问题.最后,借助符号计算系统Mathematica,构造了广义Camassa-Holm方程的多种无穷序列新解.     

利用边界元法求解一类重调和方程

边界元法(BEM)和多重互易法(MRM)相结合求解一类重调和方程.通过重调和基本解序列给出的MRM-方法和BEM, 推导出该类问题的MRM-边界变分方程, 用边界元法求解该变分方程, 从而得到重调和方程的近似解, 并给出了解的存在唯一性证明.通过数值算例说明了MRM-方法具有收敛速度快、计算精度高, 易编程等优点, 为使用边界元法数值求解重调和方程提供了方法和理论依据.适合于工程中的实际运算.     

热传导(对流-扩散)方程源项识别的粒子群优化算法

提出了利用粒子群优化(PSO)算法反演热传导方程与对流-扩散方程源项的一种新方法,在已有文献方法的基础上,求解出这两类方程正问题的解析解,再把源项识别问题转化为最优化问题,结合粒子群优化算法寻优求解.通过数值模拟与统计检验,结果表明,此方法可快速有效地实现热传导方程与对流-扩散方程源项的识别,并可推广应用到其它数学物理方程的源项或参数的反演识别.     

Quantum Lévy Laplacian and associated heat equation

As a non-commutative extension of the Lévy Laplacian for entire functions on a nuclear space, we define the quantum Lévy Laplacian acting on white noise operators. We solve a heat type equation associated with the quantum Lévy Laplacian and study its relation to the classical Lévy heat equation. The solution to the quantum Lévy heat equation is obtained also from a normal-ordered white noise differential equation involving the quadratic quantum white noise.     

再生核空间中求解带有积分边界条件的半线性热传导方程

该文给出了一个新的方法来求解带有积分边界条件的半线性热传导方程.方程的精确解以级数的形式在再生核空间中给出.证明了精确解的n项逼近是收敛于精确解的.同时给出了一些算例说明了这个方法的有效性.     

一维热传导方程移动边界识别的计算方法

构造了一种正则化的积分方程方法来由Cauchy数据确定一维热传导方程的移动边界．在将区域延拓至规则区域后,通过Fourier方法将问题转化为一个第一类Volterra积分方程．然后分别用Lavrentiev正则化方法以及Tikhonov正则化方法将不稳定的第一类Volterra积分方程转化为适定的第二类积分方程,并分别将积分方程转化为常微分方程组,并用Runge—Kutta方法数值求解,以及直接离散来求解．最后通过自由边界上的条件得到数值的移动边界．通过一些数值试验表明此方法是有效可行的,并且给出的方法无需迭代,数值计算较简单．     

On exact and approximate boundary controllabilities for the heat equation: A numerical approach

The present article is concerned with the numerical implementation of the Hilbert uniqueness method for solving exact and approximate boundary controllability problems for the heat equation. Using convex duality, we reduce the solution of the boundary control problems to the solution of identification problems for the initial data of an adjoint heat equation. To solve these identification problems, we use a combination of finite difference methods for the time discretization, finite element methods for the space discretization, and of conjugate gradient and operator splitting methods for the iterative solution of the discrete control problems. We apply then the above methodology to the solution of exact and approximate boundary controllability test problems in two space dimensions. The numerical results validate the methods discussed in this article and clearly show the computational advantage of using second-order accurate time discretization methods to approximate the control problems.     

Some controllability results for the 2D Kolmogorov equation

In this article, we prove the null controllability of the 2D Kolmogorov equation both in the whole space and in the square. The control is a source term in the right-hand side of the equation, located on a subdomain, that acts linearly on the state. In the first case, it is the complementary of a strip with axis x and in the second one, it is a strip with axis x.The proof relies on two ingredients. The first one is an explicit decay rate for the Fourier components of the solution in the free system. The second one is an explicit bound for the cost of the null controllability of the heat equation with potential that the Fourier components solve. This bound is derived by means of a new Carleman inequality.     

Remarks on a semilinear heat equation with integral boundary conditions

For a semilinear heat equation we consider a nonlocal boundary problem. On the basis of the solution of a Dirichlet problem for a parabolic equation and Volterra integral equation we establish the well-posedness for the nonlocal problem, which generalizes some recent results.     

Numerical solution of the nonlinear Schrodinger equation by feedforward neural networks

We present a method to solve boundary value problems using artificial neural networks (ANN). A trial solution of the differential equation is written as a feed-forward neural network containing adjustable parameters (the weights and biases). From the differential equation and its boundary conditions we prepare the energy function which is used in the back-propagation method with momentum term to update the network parameters. We improved energy function of ANN which is derived from Schrodinger equation and the boundary conditions. With this improvement of energy function we can use unsupervised training method in the ANN for solving the equation. Unsupervised training aims to minimize a non-negative energy function. We used the ANN method to solve Schrodinger equation for few quantum systems. Eigenfunctions and energy eigenvalues are calculated. Our numerical results are in agreement with their corresponding analytical solution and show the efficiency of ANN method for solving eigenvalue problems.     

The King-Werner method for solving nonsymmetric algebraic Riccati equation

For the nonsymmetric algebraic Riccati equation arising from transport theory, we concern about solving its minimal positive solution. In [1], Lu transferred the equation into a vector form and pointed out that the minimal positive solution of the matrix equation could be obtained via computing that of the vector equation. In this paper, we use the King-Werner method to solve the minimal positive solution of the vector equation and give the convergence and error analysis of the method. Numerical tests show that the King-Werner method is feasible to determine the minimal positive solution of the vector equation.     

关于KdV方程孤子解的研究

KdV方程的多孤子解很难直接验证，本文通过证明GLM反散射变换方程导出的Jost解满足两个Lax方程的方法，解决了这个问题．