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Information-based complexity: Recent results and open problems

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Fundamentals of Computation Theory (FCT 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 529))

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Abstract

Information-based complexity (IBC) studies the computational complexity of infinite dimensional problems. These are problems where either the input or output are elements of infinite dimensional spaces. Such problems commonly arise in the continuous mathematical models used in science and engineering. Examples include optimization, integration, approximation, ordinary and partial differential equations, and integral equations.

This research was supported in part by the National Science Foundation.

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Bibliography

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Authors and Affiliations

  1. Computer Science Department, Columbia University, 10027, New York, NY, USA

    Joseph F. Traub

Authors
  1. Joseph F. Traub
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Editor information

L. Budach

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© 1991 Springer-Verlag Berlin Heidelberg

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Traub, J.F. (1991). Information-based complexity: Recent results and open problems. In: Budach, L. (eds) Fundamentals of Computation Theory. FCT 1991. Lecture Notes in Computer Science, vol 529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54458-5_52

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  • DOI: https://doi.org/10.1007/3-540-54458-5_52

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54458-6

  • Online ISBN: 978-3-540-38391-8

  • eBook Packages: Springer Book Archive

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