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Condition Numbers and the Loss of Precision of Linear Equations

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Abstract

The condition number of an invertible real or complex n x n matrix A is defined as

$$ \kappa (A) = \left\| A \right\|\;\left\| {{{A}^{{ - 1}}}} \right\|, $$

where ‖A‖ is the operator norm

$$ \left\| A \right\| = \mathop{{\sup }}\limits_{{x \ne 0}} \frac{{\left\| {Ax} \right\|}}{{\left\| x \right\|}} $$

and ℝn or ℂn is given the usual inner product. The condition number measures the relative error in the solution of the system of linear equations

$$ {\text{Ax = v}}{\text{.}} $$

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© 1998 Springer Science+Business Media New York

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Blum, L., Cucker, F., Shub, M., Smale, S. (1998). Condition Numbers and the Loss of Precision of Linear Equations. In: Complexity and Real Computation. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0701-6_11

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  • DOI: https://doi.org/10.1007/978-1-4612-0701-6_11

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-6873-4

  • Online ISBN: 978-1-4612-0701-6

  • eBook Packages: Springer Book Archive

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