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Theoretical Computer Science

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DNA Computing Models

Abstract

This chapter provides a self-contained introduction to a collection of topics in computer science that focusses on the abstract, logical, and mathematical aspects of computing. First, mathematical structures called graphs are described that are used to model pairwise relations between objects from a certain collection. Second, abstract machines with a finite number of states called finite state automata are detailed. Third, mathematical models of computation are studied and their relationships to formal grammars are explained. Fourth, combinatorial logic is introduced, which describes logic circuits whose output is a pure function of the present input only. Finally, the degrees of complexity to solve a problem on a computer are outlined.

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References

  1. Cook S (1971) The complexity of theorem-proving procedures. Proc 3rd Ann ACM Symp Theor Comp 151–158

    Google Scholar 

  2. Culik II K (1996) An aperidic set of 13 Wang tiles. Disc Math 160:245–251

    Article  MATH  MathSciNet  Google Scholar 

  3. Garey MR, Johnson DS (1979) Computers and intractability: a guide to the theory of NP-completeness. Freeman, New York

    MATH  Google Scholar 

  4. Hopcraft E, Motwani R, Ullman JD (2007) Automata theory, languages, and computation. Addison Wesley, Boston

    Google Scholar 

  5. Mendelson E (1970) Schaum’s outline of theory and problems of Boolean algebra and switching circuits. McGraw-Hill, London

    Google Scholar 

  6. Schönig U (1997) Theoretische Informatik – kurzgefasst. Spektrum, Heidelberg Berlin

    Google Scholar 

  7. Turing AM (1937) On computable numbers, with an application to the Entscheidungsproblem. Proc London Math Soc Ser 42:230–265

    Google Scholar 

  8. Wang H (1961) Proving theorems by pattern recognition II. Bell Syst Tech J 40:1–41

    Google Scholar 

  9. Wolfram S (1983) Theory and application of cellular automata. Addison Wesley, Reading, MA

    Google Scholar 

  10. Wolfram S (2002) A new kind of science. Wolfram Media, Champaign, IL

    MATH  Google Scholar 

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Correspondence to Zoya Ignatova .

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© 2008 Springer-Verlag US

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Ignatova, Z., Zimmermann, KH., Martínez-Pérez, I. (2008). Theoretical Computer Science. In: DNA Computing Models. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73637-2_2

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  • DOI: https://doi.org/10.1007/978-0-387-73637-2_2

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-73635-8

  • Online ISBN: 978-0-387-73637-2

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