Trends in Functional Programming [electronic resource] : 22nd International Symposium, TFP 2021, Virtual Event, February 17–19, 2021, Revised Selected Papers /

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Material type: Text

TextSeries: Theoretical Computer Science and General Issues ; 12834Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: VII, 137 p. 35 illus., 10 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030839789

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

005.11 23

LOC classification:

QA76.6-76.66

Online resources:

Click here to access online

Contents:

Nested parallelism, semantics, task-oriented programming -- Dataset Sensitive Autotuning of Multi-Versioned Code based on Monotonic Properties -- A Generic Back-End for Exploratory Programming -- Dynamic Editors for Well-Typed Expressions -- Modelling, translating, proving functional programs -- High-Level Modelling for Typed Functional Programming -- Translating Lambda Calculus into C++ Templates -- ProofViz: An Interactive Visual Proof Explorer.

In: Springer Nature eBookSummary: This book constitutes revised selected papers from the 22nd International Symposium on Trends in Functional Programming, TFP 2021, which was held virtually in February 2020. The 6 full papers presented in this volume were carefully reviewed and selected from 18 submissions. They were organized in topical sections about nested parallelism, semantics, task-oriented programming and modelling, translating, proving functional programs.

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This book constitutes revised selected papers from the 22nd International Symposium on Trends in Functional Programming, TFP 2021, which was held virtually in February 2020. The 6 full papers presented in this volume were carefully reviewed and selected from 18 submissions. They were organized in topical sections about nested parallelism, semantics, task-oriented programming and modelling, translating, proving functional programs.

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