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Intelligent Computer Mathematics

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Cover of 'Intelligent Computer Mathematics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Interaction with Formal Mathematical Documents in Isabelle/PIDE
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    Chapter 2 Beginners’ Quest to Formalize Mathematics: A Feasibility Study in Isabelle
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    Chapter 3 Towards a Unified Mathematical Data Infrastructure: Database and Interface Generation
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    Chapter 4 A Tale of Two Set Theories
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    Chapter 5 Relational Data Across Mathematical Libraries
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    Chapter 6 Variadic Equational Matching
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    Chapter 7 Comparing Machine Learning Models to Choose the Variable Ordering for Cylindrical Algebraic Decomposition
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    Chapter 8 Towards Specifying Symbolic Computation
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    Chapter 9 Lemma Discovery for Induction
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    Chapter 10 Experiments on Automatic Inclusion of Some Non-degeneracy Conditions Among the Hypotheses in Locus Equation Computations
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    Chapter 11 Formalization of Dubé’s Degree Bounds for Gröbner Bases in Isabelle/HOL
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    Chapter 12 The Coq Library as a Theory Graph
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    Chapter 13 BNF-Style Notation as It Is Actually Used
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    Chapter 14 MMTTeX: Connecting Content and Narration-Oriented Document Formats
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    Chapter 15 Diagram Combinators in MMT
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    Chapter 16 Inspection and Selection of Representations
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    Chapter 17 A Plugin to Export Coq Libraries to XML
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    Chapter 18 Forms of Plagiarism in Digital Mathematical Libraries
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    Chapter 19 Integrating Semantic Mathematical Documents and Dynamic Notebooks
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    Chapter 20 Explorations into the Use of Word Embedding in Math Search and Math Semantics
Attention for Chapter 1: Interaction with Formal Mathematical Documents in Isabelle/PIDE
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Citations

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Chapter title
Interaction with Formal Mathematical Documents in Isabelle/PIDE
Chapter number 1
Book title
Intelligent Computer Mathematics
Published by
Springer, Cham, July 2019
DOI 10.1007/978-3-030-23250-4_1
Book ISBNs
978-3-03-023249-8, 978-3-03-023250-4
Authors

Makarius Wenzel, Wenzel, Makarius

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Researcher 2 29%
Other 1 14%
Unknown 2 29%
Readers by discipline Count As %
Mathematics 2 29%
Computer Science 2 29%
Engineering 1 14%
Unknown 2 29%