(Enter summary)
Abstract: In this paper we propose a new method for deriving a practical
linear-time algorithm from the speci
cation of a
maximum-weightsum problem: From the elements of a data
structure x,
nd a subset which satis
es a certain property
p and whose weightsum is maximum. Previously proposed
methods for automatically generating linear-time algorithms
are theoretically appealing, but the algorithms generated are
hardly useful in practice due to a huge constant factor for
space and time. The key points of... (Update)
Context of citations to this paper: More
...# # # # # # # # # # # # # # # # # # # # # # # # # Figure 5.12: An example of the maximum subtree problem. programming. In [76], Sasano and Hu calculated a linear time algorithm for a family of such optimal marking problems given the name because nodes in the tree are marked...
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BibTeX entry: (Update)
Isao Sasano, Zhenjiang Hu, Masato Takeichi, and Mizuhito Ogawa. Make it practical: A generic linear-time algorithm for solving maximum-weightsum problems. In Proceedings of the 5th ACM SIGPLAN International Conference on Functional Programming (ICFP'00), pages 137-149, Montreal, Canada, September 2000. ACM Press. http://citeseer.comp.nus.edu.sg/683015.html More
@misc{ sasano00make,
author = "I. Sasano and Z. Hu and M. Takeichi and M. Ogawa",
title = "Make it practical: A generic linear-time algorithm for solving maximum-weightsum
problems",
text = "Isao Sasano, Zhenjiang Hu, Masato Takeichi, and Mizuhito Ogawa. Make it
practical: A generic linear-time algorithm for solving maximum-weightsum
problems. In Proceedings of the 5th ACM SIGPLAN International Conference
on Functional Programming (ICFP'00), pages 137-149, Montreal, Canada, September
2000. ACM Press.",
year = "2000",
url = "citeseer.comp.nus.edu.sg/683015.html" }
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The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.jaist.ac.jp/~sasano/index.html):
Generation of Efficient Programs for Solving Maximum.. - Sasano, Hu, Takeichi (2001)
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