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Typed Lambda Calculi and Applications

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Cover of 'Typed Lambda Calculi and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Termination and Productivity Checking with Continuous Types
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    Chapter 2 Derivatives of Containers
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    Chapter 3 Max-Plus Quasi-interpretations
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    Chapter 4 Inductive Types in the Calculus of Algebraic Constructions
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    Chapter 5 On Strong Normalization in the Intersection Type Discipline
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    Chapter 6 Relative Definability and Models of Unary PCF
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    Chapter 7 Principal Typing in Elementary Affine Logic
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    Chapter 8 A Logical Framework with Dependently Typed Records
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    Chapter 9 A Sound and Complete CPS-Translation for λμ-Calculus
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    Chapter 10 Abstraction Barrier-Observing Relational Parametricity
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    Chapter 11 Encoding of the Halting Problem into the Monster Type and Applications
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    Chapter 12 Well-Going Programs Can Be Typed
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    Chapter 13 Parameterizations and Fixed-Point Operators on Control Categories
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    Chapter 14 Functional In-Place Update with Layered Datatype Sharing
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    Chapter 15 A Fully Abstract Bidomain Model of Unary FPC
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    Chapter 16 On a Semantic Definition of Data Independence
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    Chapter 17 Nondeterministic Light Logics and NP-Time
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    Chapter 18 Polarized Proof Nets with Cycles and Fixpoints Semantics
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    Chapter 19 Observational Equivalence and Program Extraction in the Coq Proof Assistant
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    Chapter 20 Permutative Conversions in Intuitionistic Multiary Sequent Calculi with Cuts
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    Chapter 21 A Universal Embedding for the Higher Order Structure of Computational Effects
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Typed Lambda Calculi and Applications
Published by
Springer Berlin Heidelberg, August 2003
DOI 10.1007/3-540-44904-3
978-3-54-040332-6, 978-3-54-044904-1

Hofmann, Martin

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Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 50%
Unknown 1 50%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Professor > Associate Professor 1 50%
Readers by discipline Count As %
Computer Science 2 100%