Skip to main content

Linear Time Algorithm for Approximating a Curve by a Single-Peaked Curve

  • Conference paper
Algorithms and Computation (ISAAC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2906))

Included in the following conference series:

Abstract

Given a function y= f(x) in one variable, we consider the problem of computing the single-peaked curve y=φ(x) minimizing the L 2 distance between them. If the input function f is a histogram with O(n) steps or a piecewise linear function with O(n) linear pieces, we design algorithms for computing φ in linear time. We also give an algorithm to approximate f with a function consisting of the minimum number of single-peaked pieces under the condition that each single-peaked piece is within a fixed L 2 distance from the corresponding portion of f.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Agarwal, P., Hal-Peled, S., Mustafa, N., Wang, Y.: Near Linear Time Approximation Algorithms for Curve Simplification in Two and Three Dimensions. In: Möhring, R.H., Raman, R. (eds.) ESA 2002. LNCS, vol. 2461, pp. 29–41. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  2. Chen, D., Chun, J., Katoh, N., Tokuyama, T.: Efficient Algorithms for Constructing the Optimal Layered Data Segmentation (working paper)

    Google Scholar 

  3. Chun, J., Sadakane, K., Tokuyama, T.: Efficient algorithms for constructing a pyramid from a terrain. In: Akiyama, J., Kano, M. (eds.) JCDCG 2002. LNCS, vol. 2866, pp. 108–117. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  4. Edelsbrunner, H.: Algorithms in Combinatorial Geometry. In: ETACS Monograph on Theoretical Computer Science, vol. 10, Springer, Heidelberg (1987)

    Google Scholar 

  5. Fukuda, T., Morimoto, Y., Morishita, S., Tokuyama, T.: Mining Optimized Association Rules for Numeric Attributes. Journal of Computer and System Sciences 58, 1–12 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  6. Fukuda, T., Morimoto, Y., Morishita, S., Tokuyama, T.: Data Mining with Optimized Two-Dimensional Association Rules. ACM Trans. Database Systems 26, 179–213 (2001)

    Article  MATH  Google Scholar 

  7. Morimoto, Y., Fukuda, T., Morishita, S., Tokuyama, T.: Implementation and Evaluation of Decision Trees with Range and Region Splitting. Constraints, 402–427 (1997)

    Google Scholar 

  8. Preparata, F.P., Shamos, M.I.: Computational Geometry – An Introduction, 2nd edn. Springer, Heidelberg (1988)

    Google Scholar 

  9. Tokuyama, T.: How to Reform a Terrain into a Pyramid. In: DIMACS Workshop on Geometric Graph Theory (2002) (oral presentation)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chun, J., Sadakane, K., Tokuyama, T. (2003). Linear Time Algorithm for Approximating a Curve by a Single-Peaked Curve. In: Ibaraki, T., Katoh, N., Ono, H. (eds) Algorithms and Computation. ISAAC 2003. Lecture Notes in Computer Science, vol 2906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24587-2_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-24587-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20695-8

  • Online ISBN: 978-3-540-24587-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics