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Types for Proofs and Programs

Overview of attention for book
Cover of 'Types for Proofs and Programs'

Table of Contents

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    Book Overview
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    Chapter 1 Collection Principles in Dependent Type Theory
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    Chapter 2 Executing Higher Order Logic
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    Chapter 3 A Tour with Constructive Real Numbers
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    Chapter 4 An Implementation of Type:Type
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    Chapter 5 On the Logical Content of Computational Type Theory: A Solution to Curry’s Problem
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    Chapter 6 Constructive Reals in Coq: Axioms and Categoricity
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    Chapter 7 A Constructive Proof of the Fundamental Theorem of Algebra without Using the Rationals
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    Chapter 8 A Kripke-Style Model for the Admissibility of Structural Rules
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    Chapter 9 Towards Limit Computable Mathematics
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    Chapter 10 Formalizing the Halting Problem in a Constructive Type Theory
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    Chapter 11 On the Proofs of Some Formally Unprovable Propositions and Prototype Proofs in Type Theory
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    Chapter 12 Changing Data Structures in Type Theory: A Study of Natural Numbers
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    Chapter 13 Elimination with a Motive
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    Chapter 14 Generalization in Type Theory Based Proof Assistants
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    Chapter 15 An Inductive Version of Nash-Williams’ Minimal-Bad-Sequence Argument for Higman’s Lemma
Attention for Chapter 3: A Tour with Constructive Real Numbers
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Citations

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Chapter title
A Tour with Constructive Real Numbers
Chapter number 3
Book title
Types for Proofs and Programs
Published by
Springer, Berlin, Heidelberg, December 2000
DOI 10.1007/3-540-45842-5_3
Book ISBNs
978-3-54-043287-6, 978-3-54-045842-5
Authors

Alberto Ciaffaglione, Pietro Di Gianantonio, Ciaffaglione, Alberto, Gianantonio, Pietro Di

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Computer Science 3 100%

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