Vor Memmo waren meine Notizen überall in PDFs verstreut. Jetzt sammelt ein Arbeitsbereich alles an einem Ort – ich sehe genau, was noch zu lernen ist.
Learn the skills and acquire the intuition to assess the theoretical limitations of computer programming
Offering an accessible approach to the topic, Theory of Computation focuses on the metatheory of computing and the theoretical boundaries between what various computational models can do and not do—from the most general model, the URM (Unbounded Register Machines), to the finite automaton. A wealth of programming-like examples and easy-to-follow explanations build the general theory gradually, which guides readers through the modeling and mathematical analysis of computational phenomena and provides insights on what makes things tick and also what restrains the ability of computational processes.
Recognizing the importance of acquired practical experience, the book begins with the metatheory of general purpose computer programs, using URMs as a straightforward, technology-independent model of modern high-level programming languages while also exploring the restrictions of the URM language. Once readers gain an understanding of computability theory—including the primitive recursive functions—the author presents automata and languages, covering the regular and context-free languages as well as the machines that recognize these languages. Several advanced topics such as reducibilities, the recursion theorem, complexity theory, and Cook's theorem are also discussed. Features of the book include:
A review of basic discrete mathematics, covering logic and induction while omitting specialized combinatorial topics
A thorough development of the modeling and mathematical analysis of computational phenomena, providing a solid foundation of un-computability
The connection between un-computability and un-provability: Gödel's first incompleteness theorem
The book provides numerous examples of specific URMs as well as other programming languages including Loop Programs, FA (Deterministic Finite Automata), NFA (Nondeterministic Finite Automata), and PDA (Pushdown Automata). Exercises at the end of each chapter allow readers to test their comprehension of the presented material, and an extensive bibliography suggests resources for further study.
Assuming only a basic understanding of general computer programming and discrete mathematics, Theory of Computation serves as a valuable book for courses on theory of computation at the upper-undergraduate level. The book also serves as an excellent resource for programmers and computing professionals wishing to understand the theoretical limitations of their craft.
Vor Memmo waren meine Notizen überall in PDFs verstreut. Jetzt sammelt ein Arbeitsbereich alles an einem Ort – ich sehe genau, was noch zu lernen ist.
Memmos Zusammenfassungen sind Gold wert vor Prüfungen. Ich muss nicht zwei Wochen vorher 800 Seiten neu lesen – nur die wichtigsten Teile.
Der KI-Chat hat mich schon mehr als einmal am Abend vor einer Prüfung gerettet. Ich frage einfach so lange, bis ich es kapiere – ohne auf eine Antwort in einer Lerngruppe warten zu müssen.
Die Quizzes treffen genau das, was ich wissen muss. Memmo merkt sich, wo ich Schwierigkeiten habe – so übe ich nur das, was sich lohnt.
Lernkarten mit Spaced Repetition sind Magie. Memmo weiß, wann ich etwas vergessen könnte und zeigt es mir wieder.
Die KI-Podcasts sind mein Favorit. Ich höre sie auf dem Weg zur Uni und bekomme eine Wiederholung, ohne am Computer sitzen zu müssen.
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