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Group Homotopy Algorithm with a Parameterized Newton Iteration for Symmetric Eigen Problems

机译:对称eIGen问题的参数化牛顿迭代组统一算法

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In this paper we develop a general Homotopy method called the Group Homotopy method to solve the symmetric eigenproblem. The Group Homotopy method overcomes notable drawbacks of the existing Homotopy method, namely, (ⅰ) the possibility of breakdown or having a slow rate of convergence in the presence of clustering of the eigenvalues and (ⅱ) the absence of any definite criterion to choose a step size that guarantees the convergence of the method. On the other hand, the Group Homotopy method maintains attractive features of the ordinary Homotopy method such as the natural parallelism and the structure preserving properties.
机译:在本文中,我们开发了一种称为群体同型方法的一般同型方法,以解决对称的eIgenProblem。本集团同型方法克服了现有同型均成分方法的显着缺点,即(Ⅰ)在特征值的聚类中崩溃或在存在细胞聚类中的可能性较小,并且在没有任何明确标准的情况下选择a步长,可保证该方法的收敛性。另一方面,本组同型方法保持普通同型方法的吸引力,例如自然并联和保护性能。

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