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  2. Best, worst and average case - Wikipedia

    en.wikipedia.org/wiki/Best,_worst_and_average_case

    Here methods like random self-reducibility can be used for some specific problems to show that the worst case is no harder than the average case, or, equivalently, that the average case is no easier than the worst case. On the other hand, some data structures like hash tables have very poor worst-case behaviors, but a well written hash table of ...

  3. Computational complexity theory - Wikipedia

    en.wikipedia.org/wiki/Computational_complexity...

    Worst-case complexity: This is the complexity of solving the problem for the worst input of size . The order from cheap to costly is: Best, average (of discrete uniform distribution), amortized, worst. For example, the deterministic sorting algorithm quicksort addresses the problem of sorting a list of integers. The worst-case is when the pivot ...

  4. Probabilistic analysis of algorithms - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_analysis_of...

    To obtain the average-case complexity, given an input distribution, the expected time of an algorithm is evaluated, whereas for the almost-always complexity estimate, it is evaluated that the algorithm admits a given complexity estimate that almost surely holds.

  5. Computational hardness assumption - Wikipedia

    en.wikipedia.org/wiki/Computational_hardness...

    Average-case computational hardness assumptions are useful for proving average-case hardness in applications like statistics, where there is a natural distribution over inputs. [22] Additionally, the planted clique hardness assumption has also been used to distinguish between polynomial and quasi-polynomial worst-case time complexity of other ...

  6. Analysis of algorithms - Wikipedia

    en.wikipedia.org/wiki/Analysis_of_algorithms

    Different inputs of the same size may cause the algorithm to have different behavior, so best, worst and average case descriptions might all be of practical interest. When not otherwise specified, the function describing the performance of an algorithm is usually an upper bound , determined from the worst case inputs to the algorithm.

  7. 3 of the Best and Worst Mortgage Lenders - AOL

    www.aol.com/3-best-worst-mortgage-lenders...

    Worst: Chase Bank Chase is one of the biggest U.S. banks and mortgage lenders. Like other lenders, they have a variety of loan products and can facilitate minimum down payments of 3% and up.

  8. Three-point estimation - Wikipedia

    en.wikipedia.org/wiki/Three-point_estimation

    b = the worst-case estimate These are then combined to yield either a full probability distribution, for later combination with distributions obtained similarly for other variables, or summary descriptors of the distribution, such as the mean , standard deviation or percentage points of the distribution.

  9. 3 of the Best and Worst Companies for Life Insurance - AOL

    www.aol.com/finance/3-best-worst-companies-life...

    The J.D. Power life insurance study identifies not only the best companies in the U.S., but also the worst. Of the 21 companies surveyed in the 2021 edition, Transamerica ranked #19, with a score ...