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Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.

Computer programming. --- LISP (Computer program language)

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This is a comprehensive account of the semantics and the implementation of the whole Lisp family of languages, namely Lisp, Scheme and related dialects. It describes 11 interpreters and 2 compilers, including very recent techniques of interpretation and compilation. The book is in two parts. The first starts from a simple evaluation function and enriches it with multiple name spaces, continuations and side-effects with commented variants, while at the same time the language used to define these features is reduced to a simple lambda-calculus. Denotational semantics is then naturally introduced. The second part focuses more on implementation techniques and discusses precompilation for fast interpretation: threaded code or bytecode; compilation towards C. Some extensions are also described such as dynamic evaluation, reflection, macros and objects. This will become the new standard reference for people wanting to know more about the Lisp family of languages: how they work, how they are implemented, what their variants are and why such variants exist. The full code is supplied (and also available over the Net). A large bibliography is given as well as a considerable number of exercises. Thus it may also be used by students to accompany second courses on Lisp or Scheme.

LISP (Computer program language) --- List processing computer language --- List processing (Electronic computers) --- 681.3*D11 --- 681.3*D32 --- 681.3*D11 Applicative (functional) programming --- Applicative (functional) programming --- 681.3*D32 language classifications: applicative languages; data-flow languages; design languages; extensible languages; macro and assembly languages; nonprocedural languages; specialized application and very high-level languages (Programminglanguages) --- language classifications: applicative languages; data-flow languages; design languages; extensible languages; macro and assembly languages; nonprocedural languages; specialized application and very high-level languages (Programminglanguages) --- LISP (Computer program language). --- Computer programming.

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LISP (Computer program language) --- Computer programming --- LISP (Langage de programmation) --- Programmation (Informatique) --- Périodiques. --- Computer programming. --- List processing computer language --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Programming --- List processing (Electronic computers) --- Coding theory --- LISP (Llenguatge de programació) --- Programació (Ordinadors) --- Périodiques.

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Discover the functioning and example uses of the Common Lisp condition system. This book supplements already existing material for studying Common Lisp as a language by providing detailed information about the Lisp condition system and its control flow mechanisms; it also describes an example ANSI-conformant implementation of the condition system. In part 1 of The Common Lisp Condition System, the author introduces the condition system using a bottom-up approach, constructing it piece by piece. He uses a storytelling approach to convey the foundation of the condition system, dynamically providing code to alter the behavior of an existing program. Later, in part 2, you’ll implement a full and complete ANSI-conformant condition system while examining and testing each piece of code that you write. Throughout, the author demonstrates how to extend Lisp using Lisp itself by using the condition system as an example. This is done while paying proper attention to the CL restart subsystem, giving it attention on a par with the handler subsystem. After reading and using this book, you'll have learned about the inner functioning of the condition system, how to use it in your own Common Lisp coding and applications, and how to implement it from scratch, should such a need arise. You will: Examine the condition system and see why it is important in Common Lisp Construct the condition system from scratch using foundational mechanisms provided by Common Lisp Program the condition system and its control flow mechanisms to achieve practical results Implement all parts of a condition system: conditions, restarts, handler- and restart-binding macros, signalling mechanisms, assertions, a debugger, and more.

Computer software. --- Open source software. --- Computer programming. --- Professional Computing. --- Open Source. --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Free software (Open source software) --- Open code software --- Opensource software --- Computer software --- Software, Computer --- Computer systems --- Programming --- COMMON LISP (Computer program language) --- Functional programming languages --- Object-oriented programming languages

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This book makes use of the LISP programming language to provide readers with the necessary background to understand and use fuzzy logic to solve simple to medium-complexity real-world problems. It introduces the basics of LISP required to use a Fuzzy LISP programming toolbox, which was specifically implemented by the author to “teach” the theory behind fuzzy logic and at the same time equip readers to use their newly-acquired knowledge to build fuzzy models of increasing complexity. The book fills an important gap in the literature, providing readers with a practice-oriented reference guide to fuzzy logic that offers more complexity than popular books yet is more accessible than other mathematical treatises on the topic. As such, students in first-year university courses with a basic tertiary mathematical background and no previous experience with programming should be able to easily follow the content. The book is intended for students and professionals in the fields of computer science and engineering, as well as disciplines including astronomy, biology, medicine and earth sciences. Software developers may also benefit from this book, which is intended as both an introductory textbook and self-study reference guide to fuzzy logic and its applications. The complete set of functions that make up the Fuzzy LISP programming toolbox can be downloaded from a companion book’s website.

Computer Science --- Engineering & Applied Sciences --- Engineering. --- Artificial intelligence. --- Observations, Astronomical. --- Astronomy --- Computational intelligence. --- Control engineering. --- Computational Intelligence. --- Control. --- Artificial Intelligence (incl. Robotics). --- Astronomy, Observations and Techniques. --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Astronomical observations --- Observations, Astronomical --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Observations. --- Control and Systems Theory. --- Artificial Intelligence. --- Fuzzy logic. --- LISP (Computer program language) --- Astronomy—Observations.