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On the numerical stability of algorithmic differentiation

✍ Scribed by Andreas Griewank; Kshitij Kulshreshtha; Andrea Walther

Publisher
Springer Vienna
Year
2011
Tongue
English
Weight
793 KB
Volume
94
Category
Article
ISSN
0010-485X

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## Abstract Ideally, the score vectors numerically computed by an orthogonal scores partial least squares (PLS) algorithm should be orthogonal close to machine precision. However, this is not ensured without taking special precautions. The progressive loss of orthogonality with increasing number of