一类非线性抛物最优控制问题的有限元误差估计

该文对一类非线性抛物最优控制问题给出了有限元逼近格式,并讨论了两种不同类型的控制约束集.文中对状态和伴随状态变量采用了线性连续函数离散,而控制变量则由分片常函数近似.得到了控制和状态逼近的先验误差估计■(h_U+h+k),这里h_U与h分别表示控制和状态的空间网格步长,k表示时间步长.数值试验表明了算法的有效性.     

参数识别问题混合有限元解的最大模误差估计

研究了参数识别问题混合有限元解的最大模误差估计.利用1阶Raviart-Thomas混合有限元离散状态和对偶状态变量,利用分片线性函数逼近控制变量,获得了状态变量和控制变量的最大模误差估计,这里控制变量的收敛阶是h~2,状态变量的收敛阶是h3/2|lnh|1/2.最后利用数值算例验证了理论结果.     

半线性椭圆问题Petrov-Galerkin逼近及亏量迭代

本文考虑了二阶半线性椭圆问题的Petrov-Galerkin逼近格式,用双二次多项式空间作为形函数空间,用双线性多项式空间作为试探函数空间,证明了此逼近格式与标准的二次有限元逼近格式有同样的收敛阶.并且根据插值算子的逼近性质,进一步证明了半线性有限元解的亏量迭代序列收敛到Petrov-Galerkin解.     

三角形二次插值系数有限元法解半线性椭圆问题的超收敛性

基于均匀三角形的剖分求解一类二阶半线性椭圆问题,用插值系数有限元方法比经典有限元法更容易实现,与经典二次有限元一样,二次插值系数有限元方法在对称点处也有四阶超收敛精度,数值计算表明这些结论是正确的.     

数值模拟粘性不可压缩流的速度线性/压力常数(或线性)有限元

在定常粘性不可压缩流的有限元计算中,最简单的逼近方法是:速度用分片线性(或双线性)逼近;压力用分片常数逼近.但如此匹配产生的有限元空间对并不满足有限元格式的稳定性不等式,即经典的Babuska-Brezzi不等式.事实上,对于二维问题,若使用三角剖分,速度和压力的有限元空间用分片线性/常数匹配时并不满足B-B不等式,     

海水入浸问题的数值分析

海水入浸问题的数学模型是两个耦合抛物型偏微分方程,其中一个是关于压力的流动方程,另一个是关于浓度的对流扩散方程.压力方程由标准有限元方法逼近,浓度方程则用特征有限元方法逼近.在扩散项系数半正定的情形得到逼近解的次优L2 模误差估计.     

一类非线性双曲型方程的广义Galerkin方法

本文研究一类非线性双曲型方程混合问题的广义Galerkin方法,即广义差分法.本文应用分片线性试探函数空间和分片常数检验函数空间,讨论了非线性二维二阶双曲型问题半离散和全离散方程的收敛性和稳定性,得到了与线性有限元方法相同的最优收敛阶.     

基于剖分模糊系统输入空间的多维分片线性函数的构造及逼近

多维分片线性函数是一元分段线性函数在多元情况下的推广,它在研究模糊系统的逼近性中起到重要的桥梁作用.文章针对一类u-可积函数,通过剖分模糊系统输入空间和超平面的定义构造了一个多维分片线性函数,进而证明了该分片线性函数依K-积分模为度量对给定u-可积函数具有逼近性能.结果表明,模糊系统中分片线性函数对连续函数的逼近能力可以推广为对一般可积函数的逼近能力.     

抛物型问题半离散Galerkin近似解的L_∞估计

考察典型的抛物型问题:其中Ω为平面有界区域.设S_h?H_1~0(Ω)是在正规剖分上由分片m-1次多项式构成的有限元空间,其半离散Galerkin逼近可由下式确定:     

圆周上带希尔伯特核的柯西奇异积分方程的数值解(英文)

本文研究了圆周上带希尔伯特核的柯西奇异积分的复合梯型公式.利用连续的分片线性函数逼近被积函数,得到积分公式的误差估计;然后用积分公式构造求解对应奇异积分方程的两种格式;最后给出数值实验验证理论分析结果.     

Superconvergence analysis of fully discrete finite element methods for semilinear parabolic optimal control problems

We study the superconvergence property of fully discrete finite element approximation for quadratic optimal control problems governed by semilinear parabolic equations with control constraints. The time discretization is based on difference methods, whereas the space discretization is done using finite element methods. The state and the adjoint state are approximated by piecewise linear functions and the control is approximated by piecewise constant functions. First, we define a fully discrete finite element approximation scheme for the semilinear parabolic control problem. Second, we derive the superconvergence properties for the control, the state and the adjoint state. Finally, we do some numerical experiments for illustrating our theoretical results.     

Recovery Type a Posteriori Error Estimates of Fully Discrete Finite Element Methods for General Convex Parabolic Optimal Control Problems

This paper is concerned with recovery type a posteriori error estimates of fully discrete finite element approximation for general convex parabolic optimal control problems with pointwise control constraints. The time discretization is based on the backward Euler method. The state and the adjoint state are approximated by piecewise linear functions and the control is approximated by piecewise constant functions. We derive the superconvergence properties of finite element solutions. By using the superconvergence results, we obtain recovery type a posteriori error estimates. Some numerical examples are presented to verify the theoretical results.     

A Posteriori Error Estimates of Mixed Methods for Parabolic Optimal Control Problems

In this article, we shall give a brief review on the fully discrete mixed finite element method for general optimal control problems governed by parabolic equations. The state and the co-state are approximated by the lowest order Raviart–Thomas mixed finite element spaces and the control is approximated by piecewise constant elements. Furthermore, we derive a posteriori error estimates for the finite element approximation solutions of optimal control problems. Some numerical examples are given to demonstrate our theoretical results.     

A global superconvergent $L^{\infty}$-error estimate of mixed finite element methods for semilinear elliptic optimal control problems

In this paper, we discuss the superconvergence of mixed finite element methods for a semilinear elliptic control problem with an integral constraint. The state and costate are approximated by the order $k=1$ Raviart-Thomas mixed finite element spaces and the control variable is approximated by piecewise constant functions. Approximation of the optimal control of the continuous optimal control problem will be constructed by a projection of the discrete adjoint state. It is proved that this approximation has convergence order $h^{2}$ in $L^{\infty}$-norm. Finally, a numerical example is given to demonstrate the theoretical results.     

A characteristic finite element method for optimal control problems governed by convection-diffusion equations

In this paper we analyze a characteristic finite element approximation of convex optimal control problems governed by linear convection-dominated diffusion equations with pointwise inequality constraints on the control variable, where the state and co-state variables are discretized by piecewise linear continuous functions and the control variable is approximated by either piecewise constant functions or piecewise linear discontinuous functions. A priori error estimates are derived for the state, co-state and the control. Numerical examples are given to show the efficiency of the characteristic finite element method.     

L ∞-error estimates of triangular mixed finite element methods for optimal control problems governed by semilinear elliptic equations

We look at L ^∞-error estimates for convex quadratic optimal control problems governed by nonlinear elliptic partial differential equations. In so doing, use is made of mixed finite element methods. The state and costate are approximated by the lowest order Raviart-Thomas mixed finite element spaces, and the control, by piecewise constant functions. L ^∞-error estimates of optimal order are derived for a mixed finite element approximation of a semilinear elliptic optimal control problem. Finally, numerical tests are presented which confirm our theoretical results.     

Superconvergence and $L^{\infty}$-Error Estimates of RT1 Mixed Methods for Semilinear Elliptic Control Problems with an Integral Constraint

In this paper, we investigate the superconvergence property and the $L^{\infty}$-error estimates of mixed finite element methods for a semilinear elliptic control problem with an integral constraint. The state and co-state are approximated by the order one Raviart-Thomas mixed finite element space and the control variable is approximated by piecewise constant functions or piecewise linear functions. We derive some superconvergence results for the control variable and the state variables when the control is approximated by piecewise constant functions. Moreover, we derive $L^{\infty}$-error estimates for both the control variable and the state variables when the control is discretized by piecewise linear functions. Finally, some numerical examples are given to demonstrate the theoretical results.     

Error estimates of triangular mixed finite element methods for quasilinear optimal control problems

The goal of this paper is to study a mixed finite element approximation of the general convex optimal control problems governed by quasilinear elliptic partial differential equations. The state and co-state are approximated by the lowest order Raviart-Thomas mixed finite element spaces and the control is approximated by piecewise constant functions. We derive a priori error estimates both for the state variables and the control variable. Finally, some numerical examples are given to demonstrate the theoretical results.     

Superconvergence for Optimal Control Problem Governed by Nonlinear Elliptic Equations

In this article, we investigate the superconvergence of the finite element approximation for optimal control problem governed by nonlinear elliptic equations. The state and co-state are discretized by piecewise linear functions and control is approximated by piecewise constant functions. We give the superconvergence analysis for both the control variable and the state variables. Finally, the numerical experiments show the theoretical results.     

Superconvergence of splitting positive definite mixed finite element for parabolic optimal control problems

In this paper, we investigate the superconvergence of fully discrete splitting positive definite mixed finite element (MFE) methods for parabolic optimal control problems. For the space discretization, the state and co-state are approximated by the lowest order Raviart–Thomas MFE spaces and the control variable is approximated by piecewise constant functions. The time discretization of the state and co-state are based on finite difference methods. We derive the superconvergence between the projections of exact solutions and numerical solutions or the exact solutions and postprocessing numerical solutions for the control, state and co-state. A numerical example is provided to validate the theoretical results.