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
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