Decisions on probabilistic selling for consumers with different risk attitudes

Yeu Shiang Huang, Tzu Yi Wu, Chih Chiang Fang, Tzu Liang (Bill) Tseng

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Regular expression matching often used for searching and replacing strings are mostly implemented with backtracking. This causes that matching may not be completed in linear time in the length of a string. Previous works developed analyses to detect such regular expressions based on ambiguity analysis of nondeterrministic finite automata and growth rate analysis of string-to-tree transducers. We incorporate the techniques developed in the previous works and extend the analysis for extended regular expressions including lookahead and back-reference. We have also improved the core part of the analysis and implemented our analysis tool in Scala. It is shown that our tool can analyze more regular expressions than the existing tool of Weideman et al.

Original languageEnglish
Pages (from-to)121-138
Number of pages18
JournalDecision Analysis
Volume18
Issue number2
DOIs
Publication statusPublished - 2021 Jun

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)

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