Concepts, Techniques, and Models of Computer Programming
by Peter Van Roy, Seif Haridi
Publisher: The MIT Press 2004
Number of pages: 939
This innovative text presents computer programming as a unified discipline in a way that is both practical and scientifically sound. The book focuses on techniques of lasting value and explains them precisely in terms of a simple abstract machine. The book presents all major programming paradigms in a uniform framework that shows their deep relationships and how and where to use them together. After an introduction to programming concepts, the book presents both well-known and lesser-known computation models ("programming paradigms"). Each model has its own set of techniques and each is included on the basis of its usefulness in practice. The general models include declarative programming, declarative concurrency, message-passing concurrency, explicit state, object-oriented programming, shared-state concurrency, and relational programming. Specialized models include graphical user interface programming, distributed programming, and constraint programming. Each model is based on its kernel language -- a simple core language that consists of a small number of programmer- significant elements. The kernel languages are introduced progressively, adding concepts one by one, thus showing the deep relationships between different models. The kernel languages are defined precisely in terms of a simple abstract machine. Because a wide variety of languages and programming paradigms can be modeled by a small set of closely related kernel languages, this approach allows programmer and student to grasp the underlying unity of programming. The book has many program fragments and exercises, all of which can be run on the Mozart Programming System, an Open Source software package that features an interactive incremental development environment.
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by Carroll Morgan - Prentice-Hall
Rigorous treatment of most elementary program-development constructs, including iteration, recursion, procedures, parameters, modules and data refinement. Additions include more material on data refinement, recursively defined types, and case studies.
by John C. Reynolds - Prentice Hall
Read this book if you need a much deeper understanding of programming: the need to carefully structure a program to avoid being overwhelmed by its complexity, or the need to insure reliability beyond what can he achieved by debugging.
by Stephen Muggleton, Luc de Raedt - ScienceDirect
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by Karl Seguin - codingintro.com
This book will teach you the fundamentals of programming and act as a foundation for whatever your programming goals may be. Rather than ignore complexities, we will face them head-on, in small steps, and unshroud the mysteries of computer language.