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An improved first order local regularization method for ill-posed Volterra equations

机译:一种改进的第一阶局部正则化方法,用于造成volterra方程

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In this paper, we present a first order local regularization method for solving ill-posed Volterra equations with nu-smoothing kernels, and establish stability and convergence of the method for all values of nu is an element of N. The method is an improvement of one whose numerical performance is shown to erode at nu = 4 and whose convergence theory is uncertain once nu > 4. We describe numerical implementation of the fast sequential algorithm associated with the method and provide a new scheme to approximate the initial condition. Numerical examples illustrate our theoretical results, particularly the method's stability in the case nu = 4 and higher. (C) 2019 Published by Elsevier Inc.
机译:在本文中,我们介绍了一种用Nu平滑粒求解不良Volterra方程的一阶局部正则化方法,并建立Nu的所有值的方法的稳定性和收敛性是N的元素。该方法是一种改进 其中数字性能被显示为在Nu = 4处侵蚀的一个,其会聚理论是不确定的一旦nu> 4.我们描述了与该方法相关联的快速顺序算法的数值实现,并提供了一种近似初始条件的新方案。 数值示例说明了我们的理论结果,特别是该方法在案例中的稳定性= 4且更高。 (c)2019年由elsevier公司发布

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