An introduction to the design and analysis of algorithms. The course covers design techniques, such as dynamic programming and greedy methods, as well as fundamentals of analyzing algorithms for correctness and time and space bounds.
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Topics include advanced sorting and searching methods, graph algorithms and geometric algorithms. Other areas vary from year to year and may include computational geometry, matrix manipulations, string and pattern matching, set algorithms, polynomial computations and the fast Fourier transform. This course covers the theoretic underpinnings of computer science.
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First, the course formalizes the notion of 'computation', using 3 models of computation of increasing power: finite automata, push down automata, and Turing machines. He has also been selected for a number of national talent support programs, and was granted a special allowance by the State Council.
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FAQ Policy. About this book This book applies formal language and automata theory in the context of Tibetan computational linguistics; further, it constructs a Tibetan-spelling formal grammar system that generates a Tibetan-spelling formal language group, and an automata group that can recognize the language group.
Show all. Theoretical Basis Pages Nyima Tashi,.
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