A vectorized algorithm for correlation dimension estimation

Eran Toledo, Sivan Toledo, Yael Almog, Solange Akselrod*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


We present an algorithm for the efficient and reliable computation of the Grassberger-Procaccia correlation dimension in cases where the correlation integral is constructed using all pairs of points. This algorithm is explicitly designed for modern super-scalar processors.

Original languageEnglish
Pages (from-to)375-378
Number of pages4
JournalPhysics Letters, Section A: General, Atomic and Solid State Physics
Issue number6
StatePublished - 2 Jun 1997


  • Algorithm
  • Correlation dimension
  • GPA
  • Nonlinear


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