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Loop Programming Practices that Simplify Quicksort Implementations

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Shoupu Wan

Data Structures and Algorithms · Submitted 12 Jun 2019

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim In this article, we present loop programming and refactoring techniques that lead to simplified implementation for Hoare's quicksort algorithm consisting of a single loop.

how it is stated · asserted 1.00 read the record →

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arXiv ID1906.05384 (version 1)
Pith ID5TNUFYZ2, Pith's permanent record of this paper and its review
CitationShoupu Wan. "Loop Programming Practices that Simplify Quicksort Implementations." arXiv:1906.05384 (2019). https://pith.science/paper/5TNUFYZ2
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 2,870 input tokens.

What the abstract itself states, as probabilities: claims first 0.06 · states limitation 0.12 · human participants 0.02 · controlled comparison 0.05 · randomized assignment 0.01 · states quantitative result 0.43 · compares with prior results 0.68 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Quicksort algorithm with Hoare's partition scheme is traditionally implemented with nested loops. In this article, we present loop programming and refactoring techniques that lead to simplified implementation for Hoare's quicksort algorithm consisting of a single loop. We believe that the techniques are beneficial for general programming and may be used for the discovery of more novel algorithms.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Quicksort algorithm with Hoare's partition scheme is traditionally implemented with nested loops. background 1.00 0.04 0.02 asserted 1.00
s1 In this article, we present loop programming and refactoring techniques that lead to simplified implementation for Hoare's quicksort algorithm consisting of a single loop. contribution 1.00 0.91 0.74 asserted 1.00
s2 We believe that the techniques are beneficial for general programming and may be used for the discovery of more novel algorithms. interpretation 0.83 0.10 0.21 hedged possibility 0.97

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from argument 0.95.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
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  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Quicksort algorithm with Hoare's partition scheme is traditionally implemented with nested loops. In this article, we present loop programming and refactoring techniques that lead to simplified implementation for Hoare's quicksort algorithm consisting of a single loop. We believe that the techniques are beneficial for general programming and may be used for the discovery of more novel algorithms.

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