Labelled Λ-Calculi with Explicit Copy and Erase
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Lecture Notes on the Lambda Calculus 2.4 Introduction to Β-Reduction
2.2 Free and bound variables, α-equivalence. 8 2.3 Substitution ............................. 10 Lecture Notes on the Lambda Calculus 2.4 Introduction to β-reduction..................... 12 2.5 Formal definitions of β-reduction and β-equivalence . 13 Peter Selinger 3 Programming in the untyped lambda calculus 14 3.1 Booleans .............................. 14 Department of Mathematics and Statistics 3.2 Naturalnumbers........................... 15 Dalhousie University, Halifax, Canada 3.3 Fixedpointsandrecursivefunctions . 17 3.4 Other data types: pairs, tuples, lists, trees, etc. ....... 20 Abstract This is a set of lecture notes that developed out of courses on the lambda 4 The Church-Rosser Theorem 22 calculus that I taught at the University of Ottawa in 2001 and at Dalhousie 4.1 Extensionality, η-equivalence, and η-reduction. 22 University in 2007 and 2013. Topics covered in these notes include the un- typed lambda calculus, the Church-Rosser theorem, combinatory algebras, 4.2 Statement of the Church-Rosser Theorem, and some consequences 23 the simply-typed lambda calculus, the Curry-Howard isomorphism, weak 4.3 Preliminary remarks on the proof of the Church-Rosser Theorem . 25 and strong normalization, polymorphism, type inference, denotational se- mantics, complete partial orders, and the language PCF. 4.4 ProofoftheChurch-RosserTheorem. 27 4.5 Exercises .............................. 32 Contents 5 Combinatory algebras 34 5.1 Applicativestructures. 34 1 Introduction 1 5.2 Combinatorycompleteness . 35 1.1 Extensionalvs. intensionalviewoffunctions . ... 1 5.3 Combinatoryalgebras. 37 1.2 Thelambdacalculus ........................ 2 5.4 The failure of soundnessforcombinatoryalgebras . .... 38 1.3 Untypedvs.typedlambda-calculi . 3 5.5 Lambdaalgebras .......................... 40 1.4 Lambdacalculusandcomputability . 4 5.6 Extensionalcombinatoryalgebras . 44 1.5 Connectionstocomputerscience . -
Cognitive Programming Language (CPL) Programmer's Guide
Cognitive Programming Language (CPL) Programmer's Guide 105-008-02 Revision C2 – 3/17/2006 *105-008-02* Copyright © 2006, Cognitive. Cognitive™, Cxi™, and Ci™ are trademarks of Cognitive. Microsoft® and Windows™ are trademarks of Microsoft Corporation. Other product and corporate names used in this document may be trademarks or registered trademarks of other companies, and are used only for explanation and to their owner’s benefit, without intent to infringe. All information in this document is subject to change without notice, and does not represent a commitment on the part of Cognitive. No part of this document may be reproduced for any reason or in any form, including electronic storage and retrieval, without the express permission of Cognitive. All program listings in this document are copyrighted and are the property of Cognitive and are provided without warranty. To contact Cognitive: Cognitive Solutions, Inc. 4403 Table Mountain Drive Suite A Golden, CO 80403 E-Mail: [email protected] Telephone: +1.800.525.2785 Fax: +1.303.273.1414 Table of Contents Introduction.............................................................................................. 1 Label Format Organization .................................................................. 2 Command Syntax................................................................................ 2 Important Programming Rules............................................................. 3 Related Publications........................................................................... -
A Compiler for a Simple Language. V0.16
Project step 1 – a compiler for a simple language. v0.16 Change log: v0.16, changes from 0.15 Make all push types in compiler actions explicit. Simplified and better documentation of call and callr instruction compiler actions. Let the print statement print characters and numbers. Added a printv statement to print variables. Changed compiler actions for retr to push a variable value, not a literal value. Changes are shown in orange. v0.15, changes from 0.14 Change compiler actions for ret, retr, jmp. Change the description and compiler actions for poke. Change the description for swp. Change the compiler actions for call and callr. Changes shown in green. v0.14, changes from 0.13 Add peek, poke and swp instructions. Change popm compiler actions. Change callr compiler actions. Other small changes to wording. Changes are shown in blue. v0.13, changes from 0.12 Add a count field to subr, call and callr to simplify code generation. Changes are shown in red. v0.12 Changes from 0.11. Added a callr statement that takes a return type. Fix the generated code for this and for call to allow arguments to be pushed by the call. Add a retr that returns a value and update the reg. v0.11: changes from 0.10. Put typing into push operators. Put opcodes for compare operators. fix actions for call. Make declarations reserve a stack location. Remove redundant store instruction (popv does the same thing.) v0.10: changes from 0.0. Comparison operators (cmpe, cmplt, cmpgt) added. jump conditional (jmpc) added. bytecode values added. -
Programming Basics - FORTRAN 77
CWCS Workshop May 2005 Programming Basics - FORTRAN 77 http://www.physics.nau.edu/~bowman/PHY520/F77tutor/tutorial_77.html Program Organization A FORTRAN program is just a sequence of lines of plain text. This is called the source code. The text has to follow certain rules (syntax) to be a valid FORTRAN program. We start by looking at a simple example: program circle real r, area, pi c This program reads a real number r and prints c the area of a circle with radius r. write (*,*) 'Give radius r:' read (*,*) r pi = atan(1.0e0)*4.0e0 area = pi*r*r write (*,*) 'Area = ', area end A FORTRAN program generally consists of a main program and possibly several subprograms (i.e., functions or subroutines). The structure of a main program is: program name declarations statements end Note: Words that are in italics should not be taken as literal text, but rather as a description of what belongs in their place. FORTRAN is not case-sensitive, so "X" and "x" are the same variable. Blank spaces are ignored in Fortran 77. If you remove all blanks in a Fortran 77 program, the program is still acceptable to a compiler but almost unreadable to humans. Column position rules Fortran 77 is not a free-format language, but has a very strict set of rules for how the source code should be formatted. The most important rules are the column position rules: Col. 1: Blank, or a "c" or "*" for comments Col. 1-5: Blank or statement label Col. 6: Blank or a "+" for continuation of previous line Col. -
Category Theory and Lambda Calculus
Category Theory and Lambda Calculus Mario Román García Trabajo Fin de Grado Doble Grado en Ingeniería Informática y Matemáticas Tutores Pedro A. García-Sánchez Manuel Bullejos Lorenzo Facultad de Ciencias E.T.S. Ingenierías Informática y de Telecomunicación Granada, a 18 de junio de 2018 Contents 1 Lambda calculus 13 1.1 Untyped λ-calculus . 13 1.1.1 Untyped λ-calculus . 14 1.1.2 Free and bound variables, substitution . 14 1.1.3 Alpha equivalence . 16 1.1.4 Beta reduction . 16 1.1.5 Eta reduction . 17 1.1.6 Confluence . 17 1.1.7 The Church-Rosser theorem . 18 1.1.8 Normalization . 20 1.1.9 Standardization and evaluation strategies . 21 1.1.10 SKI combinators . 22 1.1.11 Turing completeness . 24 1.2 Simply typed λ-calculus . 24 1.2.1 Simple types . 25 1.2.2 Typing rules for simply typed λ-calculus . 25 1.2.3 Curry-style types . 26 1.2.4 Unification and type inference . 27 1.2.5 Subject reduction and normalization . 29 1.3 The Curry-Howard correspondence . 31 1.3.1 Extending the simply typed λ-calculus . 31 1.3.2 Natural deduction . 32 1.3.3 Propositions as types . 34 1.4 Other type systems . 35 1.4.1 λ-cube..................................... 35 2 Mikrokosmos 38 2.1 Implementation of λ-expressions . 38 2.1.1 The Haskell programming language . 38 2.1.2 De Bruijn indexes . 40 2.1.3 Substitution . 41 2.1.4 De Bruijn-terms and λ-terms . 42 2.1.5 Evaluation . -
Fortran 90 Programmer's Reference
Fortran 90 Programmer’s Reference First Edition Product Number: B3909DB Fortran 90 Compiler for HP-UX Document Number: B3908-90002 October 1998 Edition: First Document Number: B3908-90002 Remarks: Released October 1998. Initial release. Notice Copyright Hewlett-Packard Company 1998. All Rights Reserved. Reproduction, adaptation, or translation without prior written permission is prohibited, except as allowed under the copyright laws. The information contained in this document is subject to change without notice. Hewlett-Packard makes no warranty of any kind with regard to this material, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. Hewlett-Packard shall not be liable for errors contained herein or for incidental or consequential damages in connection with the furnishing, performance or use of this material. Contents Preface . xix New in HP Fortran 90 V2.0. .xx Scope. xxi Notational conventions . xxii Command syntax . xxiii Associated documents . xxiv 1 Introduction to HP Fortran 90 . 1 HP Fortran 90 features . .2 Source format . .2 Data types . .2 Pointers . .3 Arrays . .3 Control constructs . .3 Operators . .4 Procedures. .4 Modules . .5 I/O features . .5 Intrinsics . .6 2 Language elements . 7 Character set . .8 Lexical tokens . .9 Names. .9 Program structure . .10 Statement labels . .10 Statements . .11 Source format of program file . .13 Free source form . .13 Source lines . .14 Statement labels . .14 Spaces . .14 Comments . .15 Statement continuation . .15 Fixed source form . .16 Spaces . .16 Source lines . .16 Table of Contents i INCLUDE line . 19 3 Data types and data objects . 21 Intrinsic data types . 22 Type declaration for intrinsic types . -
Control Flow Graphs • Can Be Done at High Level Or Low Level – E.G., Constant Folding
Optimizations • Code transformations to improve program – Mainly: improve execution time – Also: reduce program size Control Flow Graphs • Can be done at high level or low level – E.g., constant folding • Optimizations must be safe – Execution of transformed code must yield same results as the original code for all possible executions 1 2 Optimization Safety Optimization Safety • Safety of code transformations usually requires certain • Safety of code transformations usually requires certain information that may not be explicit in the code information which may not explicit in the code • Example: dead code elimination • Example: dead code elimination (1) x = y + 1; (1) x = y + 1; (2) y = 2 * z; (2) y = 2 * z; (3) x=y+z;x = y + z; (3) x=y+z;x = y + z; (4) z = 1; (4) z = 1; (5) z = x; (5) z = x; • What statements are dead and can be removed? • Need to know whether values assigned to x at (1) is never used later (i.e., x is dead at statement (1)) – Obvious for this simple example (with no control flow) – Not obvious for complex flow of control 3 4 1 Dead Variable Example Dead Variable Example • Add control flow to example: • Add control flow to example: x = y + 1; x = y + 1; y = 2 * z; y = 2 * z; if (d) x = y+z; if (d) x = y+z; z = 1; z = 1; z = x; z = x; • Statement x = y+1 is not dead code! • Is ‘x = y+1’ dead code? Is ‘z = 1’ dead code? •On some executions, value is used later 5 6 Dead Variable Example Dead Variable Example • Add more control flow: • Add more control flow: while (c) { while (c) { x = y + 1; x = y + 1; y = 2 * z; y = 2 -
Plurals and Mereology
Journal of Philosophical Logic (2021) 50:415–445 https://doi.org/10.1007/s10992-020-09570-9 Plurals and Mereology Salvatore Florio1 · David Nicolas2 Received: 2 August 2019 / Accepted: 5 August 2020 / Published online: 26 October 2020 © The Author(s) 2020 Abstract In linguistics, the dominant approach to the semantics of plurals appeals to mere- ology. However, this approach has received strong criticisms from philosophical logicians who subscribe to an alternative framework based on plural logic. In the first part of the article, we offer a precise characterization of the mereological approach and the semantic background in which the debate can be meaningfully reconstructed. In the second part, we deal with the criticisms and assess their logical, linguistic, and philosophical significance. We identify four main objections and show how each can be addressed. Finally, we compare the strengths and shortcomings of the mereologi- cal approach and plural logic. Our conclusion is that the former remains a viable and well-motivated framework for the analysis of plurals. Keywords Mass nouns · Mereology · Model theory · Natural language semantics · Ontological commitment · Plural logic · Plurals · Russell’s paradox · Truth theory 1 Introduction A prominent tradition in linguistic semantics analyzes plurals by appealing to mere- ology (e.g. Link [40, 41], Landman [32, 34], Gillon [20], Moltmann [50], Krifka [30], Bale and Barner [2], Chierchia [12], Sutton and Filip [76], and Champollion [9]).1 1The historical roots of this tradition include Leonard and Goodman [38], Goodman and Quine [22], Massey [46], and Sharvy [74]. Salvatore Florio [email protected] David Nicolas [email protected] 1 Department of Philosophy, University of Birmingham, Birmingham, United Kingdom 2 Institut Jean Nicod, Departement´ d’etudes´ cognitives, ENS, EHESS, CNRS, PSL University, Paris, France 416 S. -
FORTRAN 77 Language Reference
FORTRAN 77 Language Reference FORTRAN 77 Version 5.0 901 San Antonio Road Palo Alto, , CA 94303-4900 USA 650 960-1300 fax 650 969-9131 Part No: 805-4939 Revision A, February 1999 Copyright Copyright 1999 Sun Microsystems, Inc. 901 San Antonio Road, Palo Alto, California 94303-4900 U.S.A. All rights reserved. All rights reserved. This product or document is protected by copyright and distributed under licenses restricting its use, copying, distribution, and decompilation. No part of this product or document may be reproduced in any form by any means without prior written authorization of Sun and its licensors, if any. Portions of this product may be derived from the UNIX® system, licensed from Novell, Inc., and from the Berkeley 4.3 BSD system, licensed from the University of California. UNIX is a registered trademark in the United States and in other countries and is exclusively licensed by X/Open Company Ltd. Third-party software, including font technology in this product, is protected by copyright and licensed from Sun’s suppliers. RESTRICTED RIGHTS: Use, duplication, or disclosure by the U.S. Government is subject to restrictions of FAR 52.227-14(g)(2)(6/87) and FAR 52.227-19(6/87), or DFAR 252.227-7015(b)(6/95) and DFAR 227.7202-3(a). Sun, Sun Microsystems, the Sun logo, SunDocs, SunExpress, Solaris, Sun Performance Library, Sun Performance WorkShop, Sun Visual WorkShop, Sun WorkShop, and Sun WorkShop Professional are trademarks or registered trademarks of Sun Microsystems, Inc. in the United States and in other countries. -
Computational Lambda-Calculus and Monads
Computational lambda-calculus and monads Eugenio Moggi∗ LFCS Dept. of Comp. Sci. University of Edinburgh EH9 3JZ Edinburgh, UK [email protected] October 1988 Abstract The λ-calculus is considered an useful mathematical tool in the study of programming languages, since programs can be identified with λ-terms. However, if one goes further and uses βη-conversion to prove equivalence of programs, then a gross simplification1 is introduced, that may jeopardise the applicability of theoretical results to real situations. In this paper we introduce a new calculus based on a categorical semantics for computations. This calculus provides a correct basis for proving equivalence of programs, independent from any specific computational model. 1 Introduction This paper is about logics for reasoning about programs, in particular for proving equivalence of programs. Following a consolidated tradition in theoretical computer science we identify programs with the closed λ-terms, possibly containing extra constants, corresponding to some features of the programming language under con- sideration. There are three approaches to proving equivalence of programs: • The operational approach starts from an operational semantics, e.g. a par- tial function mapping every program (i.e. closed term) to its resulting value (if any), which induces a congruence relation on open terms called operational equivalence (see e.g. [Plo75]). Then the problem is to prove that two terms are operationally equivalent. ∗On leave from Universit`a di Pisa. Research partially supported by the Joint Collaboration Contract # ST2J-0374-C(EDB) of the EEC 1programs are identified with total functions from values to values 1 • The denotational approach gives an interpretation of the (programming) lan- guage in a mathematical structure, the intended model. -
Continuation Calculus
Eindhoven University of Technology MASTER Continuation calculus Geron, B. Award date: 2013 Link to publication Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain Continuation calculus Master’s thesis Bram Geron Supervised by Herman Geuvers Assessment committee: Herman Geuvers, Hans Zantema, Alexander Serebrenik Final version Contents 1 Introduction 3 1.1 Foreword . 3 1.2 The virtues of continuation calculus . 4 1.2.1 Modeling programs . 4 1.2.2 Ease of implementation . 5 1.2.3 Simplicity . 5 1.3 Acknowledgements . 6 2 The calculus 7 2.1 Introduction . 7 2.2 Definition of continuation calculus . 9 2.3 Categorization of terms . 10 2.4 Reasoning with CC terms . -
Dynamic Security Labels and Noninterference
Dynamic Security Labels and Noninterference Lantian Zheng Andrew C. Myers Computer Science Department Cornell University {zlt,andru}@cs.cornell.edu Abstract This paper explores information flow control in systems in which the security classes of data can vary dynamically. Information flow policies provide the means to express strong security requirements for data confidentiality and integrity. Recent work on security-typed programming languages has shown that information flow can be analyzed statically, ensuring that programs will respect the restrictions placed on data. However, real computing systems have security policies that vary dynamically and that cannot be determined at the time of program analysis. For example, a file has associated access permissions that cannot be known with certainty until it is opened. Although one security-typed programming lan- guage has included support for dynamic security labels, there has been no examination of whether such a mechanism can securely control information flow. In this paper, we present an expressive language- based mechanism for securely manipulating dynamic security labels. The mechanism is presented both in the context of a Java-like programming language and, more formally, in a core language based on the typed lambda calculus. This core language is expressive enough to encode previous dynamic label mechanisms; as importantly, any well-typed program is provably secure because it satisfies noninterfer- ence. 1 Introduction Information flow control protects information security by constraining how information is transmitted among objects and users of various security classes. These security classes are expressed as labels associated with the information or its containers. Dynamic labels, labels that can be manipulated and checked at run time, are vital for modeling real systems in which security policies may be changed dynamically.