Prune-and-search with limited workspace
Prune-and-search is an excellent algorithmic paradigm for solving various optimization problems. We provide a general scheme for prune-and-search technique and show how to implement it in space-efficient manner. We consider both the in-place and read-only model which have several advantages compared...
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| Vydáno v: | Journal of computer and system sciences Ročník 81; číslo 2; s. 398 - 414 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Inc
01.03.2015
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| Témata: | |
| ISSN: | 0022-0000, 1090-2724 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Prune-and-search is an excellent algorithmic paradigm for solving various optimization problems. We provide a general scheme for prune-and-search technique and show how to implement it in space-efficient manner. We consider both the in-place and read-only model which have several advantages compared to the traditional model of computation. Our technique can be applied to a large number of problems which accept prune-and-search. For examples, we study the following problems each of which has tremendous practical usage apart from theoretical implication:•computing the minimum enclosing circle (MEC) of a set of n points in R2, and•linear programming problems with two and three variables and n constraints. In the in-place setting, all these problems can be solved in O(n) time using O(1) extra-space. In the read-only setup, the time and extra-space complexities of the proposed algorithms for all these problems are O(npolylog(n)) and O(polylog(n)), respectively. |
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| ISSN: | 0022-0000 1090-2724 |
| DOI: | 10.1016/j.jcss.2014.08.001 |