单词 | Complexity Theory |
释义 | Complexity TheoryThe theory of classifying problems based on how difficult they are to solve. A problem is assigned to the P-Problem(Polynomial time) class if the number of steps needed to solve it is bounded by some Power of the problem'ssize. A problem is assigned to the NP-Problem (nondeterministic Polynomial time) class if it permits anondeterministic solution and the number of steps of the solution is bounded by some power of the problem's size.The class of P-Problems is a subset of the class of NP-Problems, but therealso exist problems which are not NP. However, if a solution is known to an NP-Problem, it can be reduced to a single period verification. A problem isNP-Complete if an Algorithm for solving it can be translated into one for solving anyother NP-Problem. Examples of NP-Complete Problems include the HamiltonianCycle and Traveling Salesman Problems. Linear Programming, thought to be anNP-Problem, was shown to actually be a P-Problem by L. Khachian in 1979. It is not known if all apparentlyNP-Problems are actually P-Problems. See also Bit Complexity, NP-Complete Problem, NP-Problem, P-Problem
Computational Complexity Bridges, D. S. Computability. New York: Springer-Verlag, 1994. Brookshear, J. G. Theory of Computation: Formal Languages, Automata, and Complexity. Redwood City, CA: Benjamin/Cummings, 1989. Cooper, S. B.; Slaman, T. A.; and Wainer, S. S. (Eds.). Computability, Enumerability, Unsolvability: Directions in Recursion Theory. New York: Cambridge University Press, 1996. Garey, M. R. and Johnson, D. S. Computers and Intractability: A Guide to the Theory of NP-Completeness. New York: W. H. Freeman, 1983. Goetz, P. ``Phil Goetz's Complexity Dictionary.'' http://www.cs.buffalo.edu/~goetz/dict.html. Hopcroft, J. E. and Ullman, J. D. Introduction to Automated Theory, Languages, and Computation. Reading, MA: Addison-Wesley, 1979. Lewis, H. R. and Papadimitriou, C. H. Elements of the Theory of Computation, 2nd ed. Englewood Cliffs, NJ: Prentice-Hall, 1997. Sudkamp, T. A. Language and Machines: An Introduction to the Theory of Computer Science, 2nd ed. Reading, MA: Addison-Wesley, 1996. Welsh, D. J. A. Complexity: Knots, Colourings and Counting. New York: Cambridge University Press, 1993. |
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