Self-Generated Figures in Sequence Processing

David Ginat*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


A figure may convey an idea, an argument and even a proof, sometimes better than words. It may also elicit an idea, an argument and a proof. In problem solving, a figure may give a “feel” of a problem. A self-generated figure may help getting insight, or serve as a means for representing one's inner associations, or mental model of the problem. This paper presents self-generated figures in algorithmic problem solving. Students of our IOI advanced stage demonstrated constructive utilization of self-generated figures in solving challenging sequence processing tasks. The figures elicited associations of hidden patterns, whose recognition yielded elegant and efficient algorithmic solutions. We advocate the application and examination of self-generated figures in algorithmic problem solving.

Original languageEnglish
Pages (from-to)13-21
Number of pages9
JournalOlympiads in Informatics
StatePublished - 2021
EventInternational Conference Joint with the 33rd International Olympiad in Informatics, IOI 2021 - Virtual, Online, Singapore
Duration: 19 Jun 202125 Jun 2021


  • algorithmic problem solving
  • figure drawing


Dive into the research topics of 'Self-Generated Figures in Sequence Processing'. Together they form a unique fingerprint.

Cite this