Householder Orthogonalization with a Nonstandard Inner Product
نویسندگان
چکیده
Householder orthogonalization plays an important role in numerical linear algebra. It attains perfect orthogonality regardless of the conditioning input. However, context a non-standard inner product, it becomes difficult to apply due lack initial orthonormal basis. We propose strategies overcome this obstacle and discuss algorithms variants with product. Theoretical analysis experiments demonstrate that our approach is numerically stable under mild assumptions.
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ژورنال
عنوان ژورنال: SIAM Journal on Matrix Analysis and Applications
سال: 2023
ISSN: ['1095-7162', '0895-4798']
DOI: https://doi.org/10.1137/21m1414814