A Practical Theory Of Programming
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| Author | : Eric C.R. Hehner |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 257 |
| Release | : 2012-09-08 |
| Genre | : Computers |
| ISBN | : 1441985964 |
There are several theories of programming. The first usable theory, often called "Hoare's Logic", is still probably the most widely known. In it, a specification is a pair of predicates: a precondition and postcondition (these and all technical terms will be defined in due course). Another popular and closely related theory by Dijkstra uses the weakest precondition predicate transformer, which is a function from programs and postconditions to preconditions. lones's Vienna Development Method has been used to advantage in some industries; in it, a specification is a pair of predicates (as in Hoare's Logic), but the second predicate is a relation. Temporal Logic is yet another formalism that introduces some special operators and quantifiers to describe some aspects of computation. The theory in this book is simpler than any of those just mentioned. In it, a specification is just a boolean expression. Refinement is just ordinary implication. This theory is also more general than those just mentioned, applying to both terminating and nonterminating computation, to both sequential and parallel computation, to both stand-alone and interactive computation. And it includes time bounds, both for algorithm classification and for tightly constrained real-time applications.
| Author | : Robert Harper |
| Publisher | : Cambridge University Press |
| Total Pages | : 513 |
| Release | : 2016-04-04 |
| Genre | : Computers |
| ISBN | : 1107150302 |
This book unifies a broad range of programming language concepts under the framework of type systems and structural operational semantics.
| Author | : Bruce J. MacLennan |
| Publisher | : Addison-Wesley Professional |
| Total Pages | : 616 |
| Release | : 1990 |
| Genre | : Computers |
| ISBN | : |
| Author | : Alexander Stepanov |
| Publisher | : Lulu.com |
| Total Pages | : 282 |
| Release | : 2019-06-17 |
| Genre | : Computers |
| ISBN | : 0578222140 |
Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering, must be based on a solid mathematical foundation. This book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software.
| Author | : John C. Mitchell |
| Publisher | : Cambridge University Press |
| Total Pages | : 546 |
| Release | : 2003 |
| Genre | : Computers |
| ISBN | : 9780521780988 |
A comprehensive undergraduate textbook covering both theory and practical design issues, with an emphasis on object-oriented languages.
| Author | : John MacCormick |
| Publisher | : Princeton University Press |
| Total Pages | : 404 |
| Release | : 2018-05-01 |
| Genre | : Computers |
| ISBN | : 0691170665 |
An accessible and rigorous textbook for introducing undergraduates to computer science theory What Can Be Computed? is a uniquely accessible yet rigorous introduction to the most profound ideas at the heart of computer science. Crafted specifically for undergraduates who are studying the subject for the first time, and requiring minimal prerequisites, the book focuses on the essential fundamentals of computer science theory and features a practical approach that uses real computer programs (Python and Java) and encourages active experimentation. It is also ideal for self-study and reference. The book covers the standard topics in the theory of computation, including Turing machines and finite automata, universal computation, nondeterminism, Turing and Karp reductions, undecidability, time-complexity classes such as P and NP, and NP-completeness, including the Cook-Levin Theorem. But the book also provides a broader view of computer science and its historical development, with discussions of Turing's original 1936 computing machines, the connections between undecidability and Gödel's incompleteness theorem, and Karp's famous set of twenty-one NP-complete problems. Throughout, the book recasts traditional computer science concepts by considering how computer programs are used to solve real problems. Standard theorems are stated and proven with full mathematical rigor, but motivation and understanding are enhanced by considering concrete implementations. The book's examples and other content allow readers to view demonstrations of—and to experiment with—a wide selection of the topics it covers. The result is an ideal text for an introduction to the theory of computation. An accessible and rigorous introduction to the essential fundamentals of computer science theory, written specifically for undergraduates taking introduction to the theory of computation Features a practical, interactive approach using real computer programs (Python in the text, with forthcoming Java alternatives online) to enhance motivation and understanding Gives equal emphasis to computability and complexity Includes special topics that demonstrate the profound nature of key ideas in the theory of computation Lecture slides and Python programs are available at whatcanbecomputed.com
| Author | : Paul Gries |
| Publisher | : Pragmatic Bookshelf |
| Total Pages | : 554 |
| Release | : 2017-12-06 |
| Genre | : Computers |
| ISBN | : 1680504126 |
Classroom-tested by tens of thousands of students, this new edition of the bestselling intro to programming book is for anyone who wants to understand computer science. Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python 3.6--a language that's used in millions of devices. Write programs to solve real-world problems, and come away with everything you need to produce quality code. This edition has been updated to use the new language features in Python 3.6.
| Author | : John Barrow |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 0 |
| Release | : 2005 |
| Genre | : Computers |
| ISBN | : 9780195789119 |
This book teaches distance-learning students how to program in Delphi, a major computer language used to design a variety of programs.
| Author | : Greg Wilson |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 621 |
| Release | : 2007-06-26 |
| Genre | : Computers |
| ISBN | : 0596554672 |
How do the experts solve difficult problems in software development? In this unique and insightful book, leading computer scientists offer case studies that reveal how they found unusual, carefully designed solutions to high-profile projects. You will be able to look over the shoulder of major coding and design experts to see problems through their eyes. This is not simply another design patterns book, or another software engineering treatise on the right and wrong way to do things. The authors think aloud as they work through their project's architecture, the tradeoffs made in its construction, and when it was important to break rules. This book contains 33 chapters contributed by Brian Kernighan, KarlFogel, Jon Bentley, Tim Bray, Elliotte Rusty Harold, Michael Feathers,Alberto Savoia, Charles Petzold, Douglas Crockford, Henry S. Warren,Jr., Ashish Gulhati, Lincoln Stein, Jim Kent, Jack Dongarra and PiotrLuszczek, Adam Kolawa, Greg Kroah-Hartman, Diomidis Spinellis, AndrewKuchling, Travis E. Oliphant, Ronald Mak, Rogerio Atem de Carvalho andRafael Monnerat, Bryan Cantrill, Jeff Dean and Sanjay Ghemawat, SimonPeyton Jones, Kent Dybvig, William Otte and Douglas C. Schmidt, AndrewPatzer, Andreas Zeller, Yukihiro Matsumoto, Arun Mehta, TV Raman,Laura Wingerd and Christopher Seiwald, and Brian Hayes. Beautiful Code is an opportunity for master coders to tell their story. All author royalties will be donated to Amnesty International.
| Author | : Rob Nederpelt |
| Publisher | : Cambridge University Press |
| Total Pages | : 465 |
| Release | : 2014-11-06 |
| Genre | : Computers |
| ISBN | : 1316061086 |
Type theory is a fast-evolving field at the crossroads of logic, computer science and mathematics. This gentle step-by-step introduction is ideal for graduate students and researchers who need to understand the ins and outs of the mathematical machinery, the role of logical rules therein, the essential contribution of definitions and the decisive nature of well-structured proofs. The authors begin with untyped lambda calculus and proceed to several fundamental type systems, including the well-known and powerful Calculus of Constructions. The book also covers the essence of proof checking and proof development, and the use of dependent type theory to formalise mathematics. The only prerequisite is a basic knowledge of undergraduate mathematics. Carefully chosen examples illustrate the theory throughout. Each chapter ends with a summary of the content, some historical context, suggestions for further reading and a selection of exercises to help readers familiarise themselves with the material.
