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Polynomial Time Algorithm

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  • Polynomial time — In computational complexity theory, polynomial time refers to the computation time of a problem where the run time, m ( n ), is no greater than a polynomial function of the problem size, n .Written mathematically using big O notation, this states …   Wikipedia

  • Polynomial-time approximation scheme — In computer science, a polynomial time approximation scheme (abbreviated PTAS) is a type of approximation algorithm for optimization problems (most often, NP hard optimization problems).A PTAS is an algorithm which takes an instance of an… …   Wikipedia

  • polynomial time — 1. noun time complexity which is bounded by some polynomial 2. adjective (Of an algorithm) which enjoys polynomial time …   Wiktionary

  • Pseudo-polynomial time — In computational complexity theory, a numeric algorithm runs in pseudo polynomial time if its running time is polynomial in the numeric value of the input (which is exponential in the length of the input its number of digits).An ExampleConsider… …   Wikipedia

  • Time complexity — In computer science, the time complexity of an algorithm quantifies the amount of time taken by an algorithm to run as a function of the size of the input to the problem. The time complexity of an algorithm is commonly expressed using big O… …   Wikipedia

  • Algorithm — Flow chart of an algorithm (Euclid s algorithm) for calculating the greatest common divisor (g.c.d.) of two numbers a and b in locations named A and B. The algorithm proceeds by successive subtractions in two loops: IF the test B ≤ A yields yes… …   Wikipedia

  • Polynomial — In mathematics, a polynomial (from Greek poly, many and medieval Latin binomium, binomial [1] [2] [3], the word has been introduced, in Latin, by Franciscus Vieta[4]) is an expression of finite length constructed from variables (also known as… …   Wikipedia

  • Polynomial space — In computational complexity theory, polynomial space refers to the space required in computation of a problem where the space, m ( n ), is no greater than a polynomial function of the problem size, n .Written mathematically, m ( n ) = O( n k )… …   Wikipedia

  • Randomized algorithm — Part of a series on Probabilistic data structures Bloom filter · Skip list …   Wikipedia

  • Criss-cross algorithm — This article is about an algorithm for mathematical optimization. For the naming of chemicals, see crisscross method. The criss cross algorithm visits all 8 corners of the Klee–Minty cube in the worst case. It visits 3 additional… …   Wikipedia

  • Exponential time — In complexity theory, exponential time is the computation time of a problem where the time to complete the computation, m ( n ), is bounded by an exponential function of the problem size, n . In other words, as the size of the problem increases… …   Wikipedia

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