Transcription of Theory of Computation
{{id}} {{{paragraph}}}
Introduction to Theory of ComputationAnil Maheshwari Michiel SmidSchool of Computer ScienceCarleton 17, 2019iiContentsContentsPrefacevi1 Purpose and motivation .. Complexity Theory .. Computability Theory .. Automata Theory .. This course .. Mathematical preliminaries .. Proof techniques .. Direct proofs .. Constructive proofs .. Nonconstructive proofs .. Proofs by contradiction .. The pigeon hole principle .. Proofs by induction .. More examples of proofs .. 15 Exercises .. 182 Finite Automata and Regular An example: Controling a toll gate .. Deterministic finite automata.
3. This theory is very much relevant to practice, for example, in the design of new programming languages, compilers, string searching, pattern matching, computer security, artificial intelligence, etc., etc. 4. This course helps you to learn problem solving skills. Theory teaches you how to think, prove, argue, solve problems, express, and ...
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}