Theory of computation
<p>Learn the computer science foundations you need to jump start your career. Ten chapters covering all the career-essential topics. Become confident in computer architecture, networking, databases and much more. Perfect for beginners, self-taught developers, bootcamp graduates and anyone who wants to really understand how computers work.</p>
Introduction
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Automata theory
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Finite automata
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Regular expressions
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How regex engines work
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Push-down automata
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Context-free grammars
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Turing machines
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Computability
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What is a computable problem?
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Are there uncomputable problems?
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Undecidability in practice
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The Entscheidungsproblem and the incompleteness theorem
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Algorithmic complexity
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Beyond worst-case analysis
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Constant \(O(1)\):
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Logarithmic \(O(\log n)\):
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Linear \(O(n)\):
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Polynomial \(O(n^{x})\):
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Exponential \(O(x^n)\):
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Factorial \(O(n!)\):
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Complexity classes
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Living with NP-hard problems
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Conclusion
<p>Learn the computer science foundations you need to jump start your career. Ten chapters covering all the career-essential topics. Become confident in computer architecture, networking, databases and much more. Perfect for beginners, self-taught developers, bootcamp graduates and anyone who wants to really understand how computers work.</p>
Further reading
<p>Learn the computer science foundations you need to jump start your career. Ten chapters covering all the career-essential topics. Become confident in computer architecture, networking, databases and much more. Perfect for beginners, self-taught developers, bootcamp graduates and anyone who wants to really understand how computers work.</p>