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Sets for Problem Solving

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Book cover Set Theory for Computing

Part of the book series: Monographs in Computer Science ((MCS))

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Abstract

This chapter provides many examples of how set theory is used to specify problems and algorithms and to characterize precisely domains formed by mathematical entities (e.g., numeric fields) or formed by algorithmic data structures (e.g., by trees).

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© 2001 Springer Science+Business Media New York

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Cantone, D., Omodeo, E., Policriti, A. (2001). Sets for Problem Solving. In: Set Theory for Computing. Monographs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3452-2_5

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  • DOI: https://doi.org/10.1007/978-1-4757-3452-2_5

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-2905-1

  • Online ISBN: 978-1-4757-3452-2

  • eBook Packages: Springer Book Archive

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