Describes the LISP programming language, and covers basic procedures, data, and modularity

Structure and Interpretation of Computer Programs (The Mit Electrical Engineering and Computer Science Series)

Computers & Technology

Sussman, Julie

Sussman, Gerald Jay

Abelson, Harold

Programming

McGraw=Hill

Designed for the introductory computer science subject at MIT, this book presents a unique conceptual introduction to programming that should make it required reading for every computer scientist. The authors' main concern is to give their readers command of the major techniques used to control the complexity of large software systems: building abstractions, establishing conventional interfaces, and establishing new descriptive languages. Structure and Interpretation of Computer Programs covers a wide range of material, from simple numerical programs, through symbol manipulation, logic programming, interpretation, and compilation. Main sections of the book are: Building Abstractions with Procedures; Building Abstractions with Data; Modularity, Objects, and State, Meta-Linguistic Abstraction; and Computing with Register Machines. Each chapter includes numerous exercises and programming projects. As a programming language, the book uses Scheme, a modern dialect of LISP, which incorporates block structure and lexical scoping. This book inaugurates the MIT Electrical Engineering and Computer Science series, copublished with McGraw Hill.

Structure and Interpretation of Computer Programs (MIT Electrical Engineering and Computer Science)

Reference

Mit Pr

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.

Structure and Interpretation of Computer Programs - 2nd Edition (MIT Electrical Engineering and Computer Science)

Computer Science

An explanation of the mathematics needed as a foundation for a deep understanding of general relativity or quantum field theory.
Physics is naturally expressed in mathematical language. Students new to the subject must simultaneously learn an idiomatic mathematical language and the content that is expressed in that language. It is as if they were asked to read Les Misérables while struggling with French grammar. This book offers an innovative way to learn the differential geometry needed as a foundation for a deep understanding of general relativity or quantum field theory as taught at the college level.
The approach taken by the authors (and used in their classes at MIT for many years) differs from the conventional one in several ways, including an emphasis on the development of the covariant derivative and an avoidance of the use of traditional index notation for tensors in favor of a semantically richer language of vector fields and differential forms. But the biggest single difference is the authors' integration of computer programming into their explanations. By programming a computer to interpret a formula, the student soon learns whether or not a formula is correct. Students are led to improve their program, and as a result improve their understanding.

Functional Differential Geometry (Mit Press)

Science & Math

Wisdom, Jack

Evolution

The MIT Press

The new edition of a classic text that concentrates on developing general methods for studying the behavior of classical systems, with extensive use of computation.
We now know that there is much more to classical mechanics than previously suspected. Derivations of the equations of motion, the focus of traditional presentations of mechanics, are just the beginning. This innovative textbook, now in its second edition, concentrates on developing general methods for studying the behavior of classical systems, whether or not they have a symbolic solution. It focuses on the phenomenon of motion and makes extensive use of computer simulation in its explorations of the topic. It weaves recent discoveries in nonlinear dynamics throughout the text, rather than presenting them as an afterthought. Explorations of phenomena such as the transition to chaos, nonlinear resonances, and resonance overlap to help the student develop appropriate analytic tools for understanding. The book uses computation to constrain notation, to capture and formalize methods, and for simulation and symbolic analysis. The requirement that the computer be able to interpret any expression provides the student with strict and immediate feedback about whether an expression is correctly formulated. 
This second edition has been updated throughout, with revisions that reflect insights gained by the authors from using the text every year at MIT. In addition, because of substantial software improvements, this edition provides algebraic proofs of more generality than those in the previous edition; this improvement permeates the new edition.

Structure and Interpretation of Classical Mechanics, second edition

Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications. Time pressures encourage programmers to write code that works well for a narrow purpose, with no room to grow. But the best systems are evolvable; they can be adapted for new situations by adding code, rather than changing the existing code. The authors describe techniques they have found effective--over their combined 100-plus years of programming experience--that will help programmers avoid programming themselves into corners. The authors explore ways to enhance flexibility by- . Organizing systems using combinators to compose mix-and-match parts, ranging from small functions to whole arithmetics, with standardized interfaces . Augmenting data with independent annotation layers, such as units of measurement or provenance . Combining independent pieces of partial information using unification or propagation . Separating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtracking . Extending the programming language, using dynamically extensible evaluators

Software Design for Flexibility: How to Avoid Programming Yourself into a Corner

Hanson, Chris

This textbook takes an innovative approach to the teaching of classical mechanics, emphasizing the development of general but practical intellectual tools to support the analysis of nonlinear Hamiltonian systems. The development is organized around a progressively more sophisticated analysis of particular natural systems and weaves examples throughout the presentation. Explorations of phenomena such as transitions to chaos, nonlinear resonances, and resonance overlaps to help the student to develop appropriate analytic tools for understanding. Computational algorithms communicate methods used in the analysis of dynamical phenomena. Expressing the methods of mechanics in a computer language forces them to be unambiguous and computationally effective. Once formalized as a procedure, a mathematical idea also becomes a tool that can be used directly to compute results.
The student actively explores the motion of systems through computer simulation and experiment. This active exploration is extended to the mathematics. The requirement that the computer be able to interpret any expression provides strict and immediate feedback as to whether an expression is correctly formulated. The interaction with the computer uncovers and corrects many deficiencies in understanding.

Structure and Interpretation of Classical Mechanics

Functional Differential Geometry

MIT Press (MA)

Abelson, Harold, Sussman, Gerald Jay

Structure and Interpretation of Computer Programs (Mit Electrical Engineering and Computer Science)

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.

Literature & Fiction

Dramas & Plays

See the best price to sell, buy, or rent books by Sussman, Gerald Jay. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Sussman, Gerald Jay

See the best price to sell, buy, or rent books by Sussman, Gerald Jay. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Structure and Interpretation of Computer Programs (The Mit Electrical Engineering and Computer Science Series)

Structure and Interpretation of Computer Programs (MIT Electrical Engineering and Computer Science)

Structure and Interpretation of Computer Programs - 2nd Edition (MIT Electrical Engineering and Computer Science)

Functional Differential Geometry (Mit Press)

Structure and Interpretation of Classical Mechanics, second edition

Software Design for Flexibility: How to Avoid Programming Yourself into a Corner

Structure and Interpretation of Classical Mechanics

Functional Differential Geometry

Structure and Interpretation of Computer Programs (Mit Electrical Engineering and Computer Science)

Structure and Interpretation of Computer Programs - 2nd Edition (MIT Electrical Engineering and Computer Science)