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Studies in Complexity and Cryptography. Miscellanea on the Interplay between Randomness and Computation pp 465–469Cite as

A Brief Introduction to Property Testing

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6650))

Abstract

This short article provides a brief description of the main issues that underly the study of property testing.

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References

  1. Alon, N., Fischer, E., Newman, I., Shapira, A.: A Combinatorial Characterization of the Testable Graph Properties: It’s All About Regularity. In: 38th STOC, pp. 251–260 (2006)

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  4. Goldreich, O. (ed.): Property Testing. LNCS, vol. 6390, pp. 142–157. Springer, Heidelberg (2010)

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  5. Goldreich, O.: Introduction to Testing Graph Properties. In: Goldreich, O., et al.: Studies in Complexity and Cryptography. LNCS, vol. 6650, pp. 467–471. Springer, Heidelberg (2011)

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  6. Goldreich, O., Goldwasser, S., Ron, D.: Property testing and its connection to learning and approximation. Journal of the ACM, 653–750 (July 1998); Extended abstract in 37th FOCS (1996)

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  9. Kaufman, T., Krivelevich, M., Ron, D.: Tight bounds for testing bipartiteness in general graphs. In: Arora, S., Jansen, K., Rolim, J.D.P., Sahai, A. (eds.) RANDOM 2003 and APPROX 2003. LNCS, vol. RANDOM, pp. 341–353. Springer, Heidelberg (2003)

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Authors
  1. Oded Goldreich
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Editor information

Editors and Affiliations

  1. Faculty of Mathematics and Computer Science, Weizmann Institute of Science, 76100, Rehovot, Israel

    Oded Goldreich

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© 2011 Springer-Verlag Berlin Heidelberg

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Goldreich, O. (2011). A Brief Introduction to Property Testing. In: Goldreich, O. (eds) Studies in Complexity and Cryptography. Miscellanea on the Interplay between Randomness and Computation. Lecture Notes in Computer Science, vol 6650. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22670-0_31

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  • DOI: https://doi.org/10.1007/978-3-642-22670-0_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22669-4

  • Online ISBN: 978-3-642-22670-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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