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New iterative method for solving linear and nonlinear hypersingular integral equations

机译:求解线性和非线性超奇异积分方程的新迭代方法

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摘要

We propose a method for solving linear and nonlinear hypersingular integral equations. For nonlinear equations the advantage of the method is in rather weak requirements for the nonlinear operator behavior in the vicinity of the solution. The singularity of the kernel not only guarantees strong diagonal dominance of the discretized equations, but also guarantees the convergence of a simple iterative scheme based on Lyapunov stability theory. The resulting computational method can be implemented with recurrent neural networks or analog computers.
机译:我们提出了一种求解线性和非线性超奇异积分方程的方法。对于非线性方程,该方法的优点是对解决方案附近的非线性算子行为的要求很弱。核的奇异性不仅保证了离散方程的强对角优势,而且还保证了基于Lyapunov稳定性理论的简单迭代方案的收敛性。所得的计算方法可以用递归神经网络或模拟计算机来实现。

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