Overview and Goals This book is about this solid, beautiful, and pervasive foundation of computer s- ence. It has thus become more than a necessity to revisit the foundation, learn the techniques, and apply them with con?dence. The notions and techniques employed are widely spread across various topics and are found in almost every branch of c- puter science. Theory of computation deals with the most fundamental ideas of computer s- ence in an abstract but easily understood form. Their ingenious techniques used in answering these questions form the theory of computation. The foundation of computer science is built upon the following questions: What is an algorithm? What can be computed and what cannot be computed? What does it mean for a function to be computable? How does computational power depend upon programming constructs? Which algorithms can be considered feasible? For more than 70 years, computer scientists are searching for answers to such qu- tions. Publisher : Springer Science & Business MediaĬLICK HERE TO GET BOOK Book Elements of Computation Theory Description/Summary: Solutions or answers to many of these are included in the book. Many exercises are included, ranging from those that test the reader, to those that are technical results, to those that extend ideas presented in the text.
The second part deals with relations between words realised by finite automata, which not only exemplifies the automata theory but also illustrates the variety of its methods and its fields of application.
The first part of the book is organised around notions of rationality and recognisability. This treatise gives a rigorous account of the topic and illuminates its real meaning by looking at the subject in a variety of ways. CLICK HERE TO GET BOOK Book Elements of Automata Theory Description/Summary:Īutomata theory lies at the foundation of computer science, and is vital to a theoretical understanding of how computers work and what constitutes formal methods.
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