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Non-linear ADTs—Trees

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Abstract

In linear abstract data types, there exists exactly one previous and one next element for each element of the ADT (except the first and last elements). In non-linear structures, such a linear ordering does not exist among the components of the structure. The first non-linear structure which we shall study is the ADT tree.

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Bibliographic Notes and Further Reading

  • ACM (1984). ACM-SIGMOID, Vol. 14, No. 2.

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  • Adel’son-Velskii, G. M. and Landis, Y. M. (1962). ‘An algorithm for the representation of information’, Soviet Math., Vol. 3, pp. 1259–1262.

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  • Aho, A. V., Hopcroft, J. E. and Ullman, J. D. (1983). Data Structures and Algorithms, Addison-Wesley, Reading, Massachusetts.

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  • Aho, A V., Sethi, R. and Ullman, J. P. (1986) Compilers — Principles, Techniques and Tools, Addison-Wesley, Reading, Massachusetts.

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  • Bayer, R. and McCreight, C. (1972). ‘Organisation and maintenance of large ordered indexes’, Acta Informatica, Vol. 1, No. 3, pp. 173–189.

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  • Comer, D. (1979). ‘The ubiquitous B-tree’, ACM Computing Surveys, Vol. 11, No. 2, June, p. 121.

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  • Date, C. J. (1985). Introduction to Database Systems, Vol 1, 4th edition, Addison-Wesley, Reading, Massachusetts.

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  • Eppinger, J. (1983). ‘An empirical study of insertion and deletion in binary search trees’, CACM, Vol. 26, No. 9, September, pp. 663–670.

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  • Gonnet, G. H. (1983). ‘Balancing binary trees by internal path reductions’, CACM, Vol. 26, No. 12, December, pp. 1074–1082.

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  • Stout, Q. F. and Warren, B. L. (1986). ‘Tree rebalancing in optimal time and space’, CACM, Vol. 29, No. 9 pp. 902–908.

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  • Wirth, N. (1976). Algorithms + Data Structures = Programs, Prentice-Hall, Englewood Cliffs, New Jersey.

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© 1990 Manoochehr Azmoodeh

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Azmoodeh, M. (1990). Non-linear ADTs—Trees. In: Abstract Data Types and Algorithms. Macmillan Computer Science Series. Palgrave, London. https://doi.org/10.1007/978-1-349-21151-7_4

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  • DOI: https://doi.org/10.1007/978-1-349-21151-7_4

  • Publisher Name: Palgrave, London

  • Print ISBN: 978-0-333-51210-4

  • Online ISBN: 978-1-349-21151-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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