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Knitting for Fun: A Recursive Sweater

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Fun with Algorithms (FUN 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4475))

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Abstract

In this paper we investigate the relations between knitting and computer science. We show that the two disciplines share many concepts. Computer science, in particular algorithm theory, can suggest a lot of powerful tools that can be used both in descriptive and prescriptive ways and that apparently have not yet been used for creative knitting. The obtained results are short (optimal size) recursive descriptions for complex patterns; creation of new complex recursive patterns; and the application of three-valued algebra operations to combine and create a wide variety of new patterns.

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References

  1. Allen, P., Malcolm, T., Tennant, R., Fall, C.: Knitting for Dummies (2002)

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, Università di Pisa, Largo B. Pontecorvo, 3, I-56127, Pisa, Italy

    Anna Bernasconi, Chiara Bodei & Linda Pagli

Authors
  1. Anna Bernasconi
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  2. Chiara Bodei
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  3. Linda Pagli
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Editor information

Editors and Affiliations

  1. Dipartimento di Sistemi e Informatica, Università degli Studi di Firenze, Viale Morgagni 65, 50134, Firenze, Italy

    Pierluigi Crescenzi

  2. Dipartimento di Informatica, Università degli Studi di Pisa, Largo Bruno Pontecorvo 3, 56127, Pisa, Italy

    Giuseppe Prencipe

  3. Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Padova, Via Gradenigo 6/B, 35131, Padova, Italy

    Geppino Pucci

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© 2007 Springer Berlin Heidelberg

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Bernasconi, A., Bodei, C., Pagli, L. (2007). Knitting for Fun: A Recursive Sweater. In: Crescenzi, P., Prencipe, G., Pucci, G. (eds) Fun with Algorithms. FUN 2007. Lecture Notes in Computer Science, vol 4475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72914-3_7

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  • DOI: https://doi.org/10.1007/978-3-540-72914-3_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72913-6

  • Online ISBN: 978-3-540-72914-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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