Implementation Functional Programming Languages (27 results)

Paperback. Condition: Good. F First Edition. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.

paperback. Condition: Very Good. The MIT Press; Cambridge, 1991. Trade paperback. Review Copy with Review Slip laid in. A Very Good, binding sturdy and intact, some handling/scuff marks to covers, bit of cover edge/corner wear, readers crease, few scuff marks bottom text block edge, a nice, clean and unmarked copy in wraps. 8vo[octavo or approx. 6 x 9], 171pp., bibliography. We pack securely and ship daily w/delivery confirmation on every book. Please Note: Depending on site, actual book for sale may differ physically from picture listed. Additional scan(s) are available for any item, please inquire.Please note: Oversized books/sets MAY require additional postage then what is quoted for 2.2lb book.

Hardcover. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condition: New.

Condition: New.

Condition: New. In.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Hardcover. Condition: new. Hardcover. All traditional implementation techniques for functional languages (mostly based on supercombinators, environments or continuations) fail to avoid useless repetition of work; they are not 'optimal' in their implementation of sharing, often causing a catastrophic, exponential explosion in reduction time. Optimal reduction is an innovative graph reduction technique for functional expressions, introduced by Lamping in 1990, that solves the sharing problem. This book, the first in the subject, is a comprehensive account by two of its leading exponents. Practical implementation aspects are fully covered as are the mathematical underpinnings of the subject. The relationship to the pioneering work of Levy and to Girard's more recent Geometry of Interaction are explored; optimal reduction is thereby revealed as a prime example of how a beautiful mathematical theory can lead to practical benefit. The book is essentially self-contained, requiring no more than basic familiarity with functional languages. It will be welcomed by graduate students and research workers in lambda calculus, functional programming or linear logic. First account of the subject by two of its exponents. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: As New. Unread book in perfect condition.

Hardback. Condition: New. All traditional implementation techniques for functional languages (mostly based on supercombinators, environments or continuations) fail to avoid useless repetition of work; they are not 'optimal' in their implementation of sharing, often causing a catastrophic, exponential explosion in reduction time. Optimal reduction is an innovative graph reduction technique for functional expressions, introduced by Lamping in 1990, that solves the sharing problem. This book, the first in the subject, is a comprehensive account by two of its leading exponents. Practical implementation aspects are fully covered as are the mathematical underpinnings of the subject. The relationship to the pioneering work of Lévy and to Girard's more recent Geometry of Interaction are explored; optimal reduction is thereby revealed as a prime example of how a beautiful mathematical theory can lead to practical benefit. The book is essentially self-contained, requiring no more than basic familiarity with functional languages. It will be welcomed by graduate students and research workers in lambda calculus, functional programming or linear logic.

hardcover. Condition: New. In shrink wrap. Looks like an interesting title!

Hardcover. Condition: new. Hardcover. All traditional implementation techniques for functional languages (mostly based on supercombinators, environments or continuations) fail to avoid useless repetition of work; they are not 'optimal' in their implementation of sharing, often causing a catastrophic, exponential explosion in reduction time. Optimal reduction is an innovative graph reduction technique for functional expressions, introduced by Lamping in 1990, that solves the sharing problem. This book, the first in the subject, is a comprehensive account by two of its leading exponents. Practical implementation aspects are fully covered as are the mathematical underpinnings of the subject. The relationship to the pioneering work of Levy and to Girard's more recent Geometry of Interaction are explored; optimal reduction is thereby revealed as a prime example of how a beautiful mathematical theory can lead to practical benefit. The book is essentially self-contained, requiring no more than basic familiarity with functional languages. It will be welcomed by graduate students and research workers in lambda calculus, functional programming or linear logic. First account of the subject by two of its exponents. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: Brand New. 392 pages. 9.50x6.50x1.00 inches. In Stock.

Hardcover. Condition: new. Hardcover. All traditional implementation techniques for functional languages (mostly based on supercombinators, environments or continuations) fail to avoid useless repetition of work; they are not 'optimal' in their implementation of sharing, often causing a catastrophic, exponential explosion in reduction time. Optimal reduction is an innovative graph reduction technique for functional expressions, introduced by Lamping in 1990, that solves the sharing problem. This book, the first in the subject, is a comprehensive account by two of its leading exponents. Practical implementation aspects are fully covered as are the mathematical underpinnings of the subject. The relationship to the pioneering work of Levy and to Girard's more recent Geometry of Interaction are explored; optimal reduction is thereby revealed as a prime example of how a beautiful mathematical theory can lead to practical benefit. The book is essentially self-contained, requiring no more than basic familiarity with functional languages. It will be welcomed by graduate students and research workers in lambda calculus, functional programming or linear logic. First account of the subject by two of its exponents. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condition: New. pp. 408.

Condition: New. pp. 408 9:B&W 6 x 9 in or 229 x 152 mm Case Laminate on Creme w/Gloss Lam.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - All traditional implementation techniques for functional languages (mostly based on supercombinators, environments or continuations) fail to avoid useless repetition of work; they are not 'optimal' in their implementation of sharing, often causing a catastrophic, exponential explosion in reduction time. Optimal reduction is an innovative graph reduction technique for functional expressions, introduced by Lamping in 1990, that solves the sharing problem. This book, the first in the subject, is a comprehensive account by two of its leading exponents. Practical implementation aspects are fully covered as are the mathematical underpinnings of the subject. The relationship to the pioneering work of Lévy and to Girard's more recent Geometry of Interaction are explored; optimal reduction is thereby revealed as a prime example of how a beautiful mathematical theory can lead to practical benefit. The book is essentially self-contained, requiring no more than basic familiarity with functional languages. It will be welcomed by graduate students and research workers in lambda calculus, functional programming or linear logic.

Hardback. Condition: New. All traditional implementation techniques for functional languages (mostly based on supercombinators, environments or continuations) fail to avoid useless repetition of work; they are not 'optimal' in their implementation of sharing, often causing a catastrophic, exponential explosion in reduction time. Optimal reduction is an innovative graph reduction technique for functional expressions, introduced by Lamping in 1990, that solves the sharing problem. This book, the first in the subject, is a comprehensive account by two of its leading exponents. Practical implementation aspects are fully covered as are the mathematical underpinnings of the subject. The relationship to the pioneering work of Lévy and to Girard's more recent Geometry of Interaction are explored; optimal reduction is thereby revealed as a prime example of how a beautiful mathematical theory can lead to practical benefit. The book is essentially self-contained, requiring no more than basic familiarity with functional languages. It will be welcomed by graduate students and research workers in lambda calculus, functional programming or linear logic.

paperback. Condition: Like New. Like NewLIKE NEW. book.

Condition: Good. The book may have minor cosmetic wear (i.e. creased spine/cover, scratches, curled corners, folded pages, minor sunburn, minor water damage, minor bent). The book may have some highlights/notes/underlined pages - Accessories such as CD, codes, toys, may not be included - Safe and Secure Mailer - No Hassle Return.

Taschenbuch. Condition: Neu. Neuware -Source: Wikipedia. Pages: 25. Chapters: Administrative normal form, Categorical abstract machine, Closure (computer science), Continuation-passing style, Deforestation (computer science), Defunctionalization, Functional compiler, Graph reduction, Hash consing, Lambda lifting, Lazy evaluation, Partial application, SECD machine, Strictness analysis, Supercombinator, Syntactic closure, Tail call, Thunk (functional programming). Excerpt: In computer science, a closure (also lexical closure or function closure) is a function or reference to a function together with a referencing environment¿a table storing a reference to each of the non-local variables (also called free variables) of that function. A closure¿unlike a plain function pointer¿allows a function to access those non-local variables even when invoked outside of its immediate lexical scope. The concept of closures was developed in the 1960s and was first fully implemented in 1975 as a language feature in the Scheme programming language to support lexically scoped first-class functions. The explicit use of closures is associated with functional programming languages such as Lisp and ML, as traditional imperative languages such as Algol, C and Pascal did not support returning nested functions as results of higher-order functions and thus did not require supporting closures either. Many modern garbage-collected imperative languages support closures, such as Smalltalk (the first object-oriented language to do so) and C#. Support for closures in Java is planned for Java 8. The following fragment of Python 3 code defines a function counter with a local variable x and a nested function increment. This nested function increment has access to x, which from its point of view is a non-local variable. The function counter returns a closure containing a reference to the function increment, which increments non-local variable x. The closure returned by counter can be assigned to a variable: Invoking increment through the closures will give the following results: Peter J. Landin defined the term closure in 1964 as having an environment part and a control part as used by his SECD machine for evaluating expressions. Joel Moses credits Landin with introducing the term closure to refer to a lambda expression whose open bindings (free variables) have been closed by (or bound in) the lexical environment, resulting in a closed expression, or closure. This usage wBooks on Demand GmbH, Überseering 33, 22297 Hamburg 26 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Source: Wikipedia. Pages: 25. Chapters: Administrative normal form, Categorical abstract machine, Closure (computer science), Continuation-passing style, Deforestation (computer science), Defunctionalization, Functional compiler, Graph reduction, Hash consing, Lambda lifting, Lazy evaluation, Partial application, SECD machine, Strictness analysis, Supercombinator, Syntactic closure, Tail call, Thunk (functional programming). Excerpt: In computer science, a closure (also lexical closure or function closure) is a function or reference to a function together with a referencing environment a table storing a reference to each of the non-local variables (also called free variables) of that function. A closure unlike a plain function pointer allows a function to access those non-local variables even when invoked outside of its immediate lexical scope. The concept of closures was developed in the 1960s and was first fully implemented in 1975 as a language feature in the Scheme programming language to support lexically scoped first-class functions. The explicit use of closures is associated with functional programming languages such as Lisp and ML, as traditional imperative languages such as Algol, C and Pascal did not support returning nested functions as results of higher-order functions and thus did not require supporting closures either. Many modern garbage-collected imperative languages support closures, such as Smalltalk (the first object-oriented language to do so) and C sharp. Support for closures in Java is planned for Java 8. The following fragment of Python 3 code defines a function counter with a local variable x and a nested function increment. This nested function increment has access to x, which from its point of view is a non-local variable. The function counter returns a closure containing a reference to the function increment, which increments non-local variable x. The closure returned by counter can be assigned to a variable: Invoking increment through the closures will give the following results: Peter J. Landin defined the term closure in 1964 as having an environment part and a control part as used by his SECD machine for evaluating expressions. Joel Moses credits Landin with introducing the term closure to refer to a lambda expression whose open bindings (free variables) have been closed by (or bound in) the lexical environment, resulting in a closed expression, or closure. 26 pp. Englisch.

Hardcover. Condition: Brand New. 392 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.

Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 800.

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book, the first in the subject, is a comprehensive account of optimal reduction by two of its leading exponents. Practical implementation aspects are fully covered as are its mathematical underpinnings. The book is essentially self-contained, requiring.