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Abstract

Suppose that we are to compute f(x) at some x. We know that algorithms sometimes do not produce very accurate answers. When thinking this over, we should comprehend that not only might an algorithm be “bad” but it might be a problem itself. An important question: how far can f(x) change when x goes through small perturbations?

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References

  1. For more detail, see J. W. Demmel. On condition numbers and the distance to the nearest ill-posed problem. Numer. Math. 51, 251–289 (1987).

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© 1997 Springer Science+Business Media New York

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Tyrtyshnikov, E.E. (1997). Lecture 3. In: A Brief Introduction to Numerical Analysis. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-0-8176-8136-4_3

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  • DOI: https://doi.org/10.1007/978-0-8176-8136-4_3

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-6413-2

  • Online ISBN: 978-0-8176-8136-4

  • eBook Packages: Springer Book Archive

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