论文标题
对归化病例的真实对称矩阵的部分特征分类的衍生物
Derivatives of partial eigendecomposition of a real symmetric matrix for degenerate cases
论文作者
论文摘要
本文介绍了部分特征分类的前向和向后衍生物，即仅获得对退化病例的真实对称矩阵的某些本特征。即使堕落性永远不会消失，并且只有一些特征，也可以实现向前和向后衍生物的数值计算。
This paper presents the forward and backward derivatives of partial eigendecomposition, i.e. where it only obtains some of the eigenpairs, of a real symmetric matrix for degenerate cases. The numerical calculation of forward and backward derivatives can be implemented even if the degeneracy never disappears and only some eigenpairs are available.
