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  2. Approximation algorithm - Wikipedia

    en.wikipedia.org/wiki/Approximation_algorithm

    A notable example of an approximation algorithm that provides both is the classic approximation algorithm of Lenstra, Shmoys and Tardos [2] for scheduling on unrelated parallel machines. The design and analysis of approximation algorithms crucially involves a mathematical proof certifying the quality of the returned solutions in the worst case. [1]

  3. Barnes–Hut simulation - Wikipedia

    en.wikipedia.org/wiki/Barnes–Hut_simulation

    The Barnes–Hut simulation (named after Josh Barnes and Piet Hut) is an approximation algorithm for performing an N-body simulation. It is notable for having order O( n log n ) compared to a direct-sum algorithm which would be O( n 2 ).

  4. Nelder–Mead method - Wikipedia

    en.wikipedia.org/wiki/Nelder–Mead_method

    Examples of simplices include a line segment in one-dimensional space, a triangle in two-dimensional space, a tetrahedron in three-dimensional space, and so forth. The method approximates a local optimum of a problem with n variables when the objective function varies smoothly and is unimodal .

  5. Category:Approximation algorithms - Wikipedia

    en.wikipedia.org/wiki/Category:Approximation...

    Pages in category "Approximation algorithms" The following 39 pages are in this category, out of 39 total. This list may not reflect recent changes. ...

  6. Christofides algorithm - Wikipedia

    en.wikipedia.org/wiki/Christofides_algorithm

    This algorithm is no longer the best polynomial time approximation algorithm for the TSP on general metric spaces. Karlin, Klein, and Gharan introduced a randomized approximation algorithm with approximation ratio 1.5 − 10 −36. It follows similar principles to Christofides' algorithm, but uses a randomly chosen tree from a carefully chosen ...

  7. Polynomial-time approximation scheme - Wikipedia

    en.wikipedia.org/wiki/Polynomial-time...

    A practical problem with PTAS algorithms is that the exponent of the polynomial could increase dramatically as ε shrinks, for example if the runtime is O(n (1/ε)!One way of addressing this is to define the efficient polynomial-time approximation scheme or EPTAS, in which the running time is required to be O(n c) for a constant c independent of ε.

  8. Iterative method - Wikipedia

    en.wikipedia.org/wiki/Iterative_method

    Here x n is the nth approximation or iteration of x and x n+1 is the next or n + 1 iteration of x. Alternately, superscripts in parentheses are often used in numerical methods, so as not to interfere with subscripts with other meanings. (For example, x (n+1) = f(x (n)).)

  9. Minimax approximation algorithm - Wikipedia

    en.wikipedia.org/.../Minimax_approximation_algorithm

    For example, given a function defined on the ... and a degree bound , a minimax polynomial approximation algorithm will find a polynomial of degree at ...