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首页> 外文期刊>Journal of applied mathematics >Convergence Analysis of an Iterative Method for Nonlinear Partial Differential Equations
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Convergence Analysis of an Iterative Method for Nonlinear Partial Differential Equations

机译:非线性偏微分方程迭代法的收敛性分析。

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We will combine linear successive overrelaxation method with nonlinearmonotone iterative scheme to obtain a new iterative method for solving nonlinear equations. Thebasic idea of this method joining traditional monotone iterative method (known as the methodof lower and upper solutions) which depends essentially on the monotone parameter is that byintroducing an acceleration parameter one can construct a sequence to accelerate the convergence. The resulting increase in the speed of convergence is very dramatic. Moreover, the sequence canaccomplish monotonic convergence behavior in the iterative process when some suitable accelerationparameters are chosen. Under some suitable assumptions in aspect of the nonlinear function andthe matrix norm generated from this method, we can prove the boundedness and convergence ofthe resulting sequences. Application of the iterative scheme is given to a logistic model problemin ecology, and numerical results for a test problem with known analytical solution are given todemonstrate the accuracy and efficiency of the present method.
机译:我们将线性连续超松弛方法与非线性单调迭代方案相结合,以获得求解非线性方程的新迭代方法。这种方法基本依赖于单调参数,结合了传统的单调迭代方法(称为上下解方法)的基本思想是,通过引入加速参数,可以构造一个序列来加速收敛。收敛速度的提高非常显着。此外,当一些合适accelerationparameters被选择在迭代过程的序列canaccomplish单调收敛行为。在非线性函数和该方法生成的矩阵范数方面的一些适当假设下,我们可以证明所得序列的有界性和收敛性。将迭代方案应用于生态学中的逻辑模型问题,并给出具有已知解析解的测试问题的数值结果,以证明本方法的准确性和效率。

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