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Combinatorics

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Encyclopedia of Operations Research and Management Science
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Combinatorics is the branch of mathematics that deals with arrangements of objects, usually finite in number. The term arrangement encompasses, among other possibilities, selection, grouping, combination, ordering or placement, subject to various constraints.

Elementary combinatorial theory concerns permutations and combinations. For example, the number of permutations or orderings of n objects is n! = n(n − 1) ... (2)(1), and the number of combinations of n objects taken k at a time is given by the binomial coefficient (n k) = n!/[k!(nk)!]. In order to compute the probability of throwing a 7 with two dice, or of drawing an inside straight at poker, one must be able to count permutations and combinations, as well as other types of arrangements. Indeed, combinatorics is said to have originated with investigations of games of chance. Combinatorial counting theory is the foundation of discrete probability theory as we know it today.

Experimental design provides the motivation for...

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References

  1. Biggs, N. L., Lloyd, E. K., and Wilson, R. J. (1976). Graph Theory: 1736–1936, Oxford Univ. Press, UK.

    Google Scholar 

  2. Edmonds, J. (1965). “Paths, Trees, and Flowers,” Canad. Jl. Math., 17, 449–467.

    Google Scholar 

  3. Garey, M. R. and Johnson, D. S. (1979). Computers and Intractability: A Guide to NP-Completeness, W.H. Freeman, San Francisco.

    Google Scholar 

  4. Graham, R. L., Rothschild, B. L., and Spencer, J. H. (1980). Ramsey Theory, John Wiley, New York.

    Google Scholar 

  5. Lawler, E. L. (1976). Combinatorial Optimization: Networks and Matroids, Holt, Rinehart and Winston, New York.

    Google Scholar 

  6. Lawler, E. L., Lenstra, J. K., Rinnooy Kan, A. H.G., and Shmoys, D. B., eds. (1985). The Traveling Salesman Problem: A Guided Tour of Combinatorial Optimization, John Wiley, New York.

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  7. Lovasz, L. (1979). Combinatorial Problems and Exercises, North Holland, Amsterdam.

    Google Scholar 

  8. Lovasz, L. and Plummer, M. D. (1986). Matching Theory, North Holland, Amsterdam.

    Google Scholar 

  9. Nemhauser, G. L. and Wolsey, L. A. (1988). Integer Programming and Combinatorial Optimization, John Wiley, New York.

    Google Scholar 

  10. Schrijver, A. (1986). Theory of Linear and Integer Programming, John Wiley, New York.

    Google Scholar 

  11. Wilson, R. J. and Watkins, J. J. (1990). Graphs: An Introductory Approach, John Wiley, New York.

    Google Scholar 

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© 2001 Kluwer Academic Publishers

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Lawler, E.L. (2001). Combinatorics . In: Gass, S.I., Harris, C.M. (eds) Encyclopedia of Operations Research and Management Science. Springer, New York, NY. https://doi.org/10.1007/1-4020-0611-X_132

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  • DOI: https://doi.org/10.1007/1-4020-0611-X_132

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  • Publisher Name: Springer, New York, NY

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  • Online ISBN: 978-1-4020-0611-1

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