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Program Construction
Most texts on logic or discrete math fail to show why math and logic are fundamental tools for programmers. Program Construction illustrates the importance of math and logic to programming, providing a complete, self-contained account of the principles of logical reasoning. Designed specifically so users can construct programs that meet their specifications, the book details program construction principles in a straightforward fashion, avoiding overly complicated theory, and then illustrating each with convincing examples.
R 2,647.00
Principles of Constraint Programming
Constraints are everywhere: most computational problems can be described in terms of restrictions imposed on the set of possible solutions, and constraint programming is a problem-solving technique that works by incorporating those restrictions in a programming environment. It draws on methods from combinatorial optimisation and artificial intelligence, and has been successfully applied in a number of fields from scheduling, computational biology, finance, electrical engineering and operations research through to numerical analysis. This textbook for upper-division students provides a thorough and structured account of the main aspects of constraint programming. The author provides many worked examples that illustrate the usefulness and versatility of this approach to programming, as well as many exercises throughout the book that illustrate techniques, test skills and extend the text. Pointers to current research, extensive historical and bibliographic notes, and a comprehensive list of references will also be valuable to professionals in computer science and artificial intelligence.
R 2,971.40
Semiotics of Programming
Tanaka-Ishii presents a semiotic analysis of computer programs along three axes: models of signs, kinds of signs, and systems of signs. Because computer programs are well defined and rigid, applying semiotic theories to them will help to reorganise the semiotic theories themselves. Semiotic discussion of programming theory can provide possible explanations for why programming has developed as it has and how computation is fundamentally related to human semiosis. This book considers the question of what computers can and cannot do, by analysing how computer sign systems compare to those of humans. A key concept throughout is reflexivity – the capability of a system or function to reinterpret what it has produced by itself. Sign systems are reflexive by nature, and humans know how to take advantage of this characteristic but have not yet fully implemented it into computer systems. The limitations, therefore, of current computers can be ascribed to insufficient reflexivity.
R 3,223.56
R 911.00
Principles of Constraint Programming
Constraints are everywhere: most computational problems can be described in terms of restrictions imposed on the set of possible solutions, and constraint programming is a problem-solving technique that works by incorporating those restrictions in a programming environment. It draws on methods from combinatorial optimisation and artificial intelligence, and has been successfully applied in a number of fields from scheduling, computational biology, finance, electrical engineering and operations research through to numerical analysis. This textbook for upper-division students provides a thorough and structured account of the main aspects of constraint programming. The author provides many worked examples that illustrate the usefulness and versatility of this approach to programming, as well as many exercises throughout the book that illustrate techniques, test skills and extend the text. Pointers to current research, extensive historical and bibliographic notes, and a comprehensive list of references will also be valuable to professionals in computer science and artificial intelligence.
R 3,696.76
