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Convergence and Superconvergence of the Local Discontinuous Galerkin Method for Semilinear Second‑Order Elliptic Problems on Cartesian Grids
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作者 Mahboub Baccouch 《Communications on Applied Mathematics and Computation》 2022年第2期437-476,共40页
This paper is concerned with convergence and superconvergence properties of the local discontinuous Galerkin(LDG)method for two-dimensional semilinear second-order elliptic problems of the form−Δu=f(x,y,u)on Cartesia... This paper is concerned with convergence and superconvergence properties of the local discontinuous Galerkin(LDG)method for two-dimensional semilinear second-order elliptic problems of the form−Δu=f(x,y,u)on Cartesian grids.By introducing special GaussRadau projections and using duality arguments,we obtain,under some suitable choice of numerical fuxes,the optimal convergence order in L2-norm of O(h^(p+1))for the LDG solution and its gradient,when tensor product polynomials of degree at most p and grid size h are used.Moreover,we prove that the LDG solutions are superconvergent with an order p+2 toward particular Gauss-Radau projections of the exact solutions.Finally,we show that the error between the gradient of the LDG solution and the gradient of a special Gauss-Radau projection of the exact solution achieves(p+1)-th order superconvergence.Some numerical experiments are performed to illustrate the theoretical results. 展开更多
关键词 Semilinear second-order elliptic boundary-value problems local discontinuous Galerkin method A priori error estimation Optimal superconvergence SUPERCLOSENESS Gauss-Radau projections
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CONVERGENCE ANALYSIS OF MIXED VOLUME ELEMENT-CHARACTERISTIC MIXED VOLUME ELEMENT FOR THREE-DIMENSIONAL CHEMICAL OIL-RECOVERY SEEPAGE COUPLED PROBLEM
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作者 袁益让 程爱杰 +2 位作者 羊丹平 李长峰 杨青 《Acta Mathematica Scientia》 SCIE CSCD 2018年第2期519-545,共27页
The physical model is described by a seepage coupled system for simulating numerically three-dimensional chemical oil recovery, whose mathematical description includes three equations to interpret main concepts. The p... The physical model is described by a seepage coupled system for simulating numerically three-dimensional chemical oil recovery, whose mathematical description includes three equations to interpret main concepts. The pressure equation is a nonlinear parabolic equation, the concentration is defined by a convection-diffusion equation and the saturations of different components are stated by nonlinear convection-diffusion equations. The transport pressure appears in the concentration equation and saturation equations in the form of Darcy velocity, and controls their processes. The flow equation is solved by the conservative mixed volume element and the accuracy is improved one order for approximating Darcy velocity. The method of characteristic mixed volume element is applied to solve the concentration, where the diffusion is discretized by a mixed volume element method and the convection is treated by the method of characteristics. The characteristics can confirm strong computational stability at sharp fronts and it can avoid numerical dispersion and nonphysical oscillation. The scheme can adopt a large step while its numerical results have small time-truncation error and high order of accuracy. The mixed volume element method has the law of conservation on every element for the diffusion and it can obtain numerical solutions of the concentration and adjoint vectors. It is most important in numerical simulation to ensure the physical conservative nature. The saturation different components are obtained by the method of characteristic fractional step difference. The computational work is shortened greatly by decomposing a three-dimensional problem into three successive one-dimensional problems and it is completed easily by using the algorithm of speedup. Using the theory and technique of a priori estimates of differential equations, we derive an optimal second order estimates in 12 norm. Numerical examples are given to show the effectiveness and practicability and the method is testified as a powerful tool to solve the important problems. 展开更多
关键词 Chemical oil recovery mixed volume element-characteristic mixed volume element characteristic fractional step differences local conservation of mass second-order error estimate in l2-norm
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A MIXED FINITE ELEMENT AND CHARACTERISTIC MIXED FINITE ELEMENT FOR INCOMPRESSIBLE MISCIBLE DARCY-FORCHHEIMER DISPLACEMENT AND NUMERICAL ANALYSIS
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作者 袁益让 李长峰 +1 位作者 孙同军 杨青 《Acta Mathematica Scientia》 SCIE CSCD 2023年第5期2026-2042,共17页
In this paper a mixed finite element-characteristic mixed finite element method is discussed to simulate an incompressible miscible Darcy-Forchheimer problem.The flow equation is solved by a mixed finite element and t... In this paper a mixed finite element-characteristic mixed finite element method is discussed to simulate an incompressible miscible Darcy-Forchheimer problem.The flow equation is solved by a mixed finite element and the approximation accuracy of Darch-Forchheimer velocity is improved one order.The concentration equation is solved by the method of mixed finite element,where the convection is discretized along the characteristic direction and the diffusion is discretized by the zero-order mixed finite element method.The characteristics can confirm strong stability at sharp fronts and avoids numerical dispersion and nonphysical oscillation.In actual computations the characteristics adopts a large time step without any loss of accuracy.The scalar unknowns and its adjoint vector function are obtained simultaneously and the law of mass conservation holds in every element by the zero-order mixed finite element discretization of diffusion flux.In order to derive the optimal 3/2-order error estimate in L^(2) norm,a post-processing technique is included in the approximation to the scalar unknowns.Numerical experiments are illustrated finally to validate theoretical analysis and efficiency.This method can be used to solve such an important problem. 展开更多
关键词 Darcy-Forchheimer miscible displacement mixed element-characteristic mixed element-postprocessing scheme local conservation of mass 3/2-order error estimates in L^(2)-norm numerical computation
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多孔介质一般非Darcy流问题的块中心有限差分算法 被引量:1
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作者 芮洪兴 赵丹汇 《中国科学:数学》 CSCD 北大核心 2017年第4期515-532,共18页
本文对描述多孔介质一般非Darcy流的非线性方程,提出一类数值求解的块中心有限差分算法.该格式保持局部质量守恒,并能够同时获得速度和压力近似解.在一般非均匀矩形网格上,本文证明了速度和压力近似在离散l^2模意义下的二阶误差估计.采... 本文对描述多孔介质一般非Darcy流的非线性方程,提出一类数值求解的块中心有限差分算法.该格式保持局部质量守恒,并能够同时获得速度和压力近似解.在一般非均匀矩形网格上,本文证明了速度和压力近似在离散l^2模意义下的二阶误差估计.采用该格式进行的数值实验表明,收敛阶与理论分析一致. 展开更多
关键词 一般非Darcy流 非线性 块中心差分 二阶精度 局部质量守恒
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Unconditional convergence of a linearized implicit finite difference method for the 2D/3D Gross-Pitaevskii equation with angular momentum rotation 被引量:1
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作者 Tingchun Wang Boling Guo 《Science China Mathematics》 SCIE CSCD 2019年第9期1669-1686,共18页
This paper is concerned with the time-step condition of a linearized implicit finite difference method for solving the Gross-Pitaevskii equation with an angular momentum rotation term. Unlike the existing studies in t... This paper is concerned with the time-step condition of a linearized implicit finite difference method for solving the Gross-Pitaevskii equation with an angular momentum rotation term. Unlike the existing studies in the literature, where the cut-off function technique was used to establish the error estimates under some conditions of the time-step size, this paper introduces an induction argument and a 'lifting' technique as well as some useful inequalities to build the optimal maximum error estimate without any constraints on the time-step size. The analysis method can be directly extended to the general nonlinear Schr¨odinger-type equations in twoand three-dimensions and other linear implicit finite difference schemes. As a by-product, this paper defines a new type of energy functional of the grid functions by using a recursive relation to prove that the proposed scheme preserves well the total mass and energy in the discrete sense. Several numerical results are reported to verify the error estimates and conservation laws. 展开更多
关键词 Gross-Pitaevskii equation ANGULAR MOMENTUM ROTATION finite difference method mass and energy conservation unconditional and optimal error estimate
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