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  2. Moving average - Wikipedia

    en.wikipedia.org/wiki/Moving_average

    In statistics, a moving average ( rolling average or running average or moving mean [1] or rolling mean) is a calculation to analyze data points by creating a series of averages of different selections of the full data set. Variations include: simple, cumulative, or weighted forms. Mathematically, a moving average is a type of convolution.

  3. Algorithms for calculating variance - Wikipedia

    en.wikipedia.org/wiki/Algorithms_for_calculating...

    Therefore, a naïve algorithm to calculate the estimated variance is given by the following: Let n ← 0, Sum ← 0, SumSq ← 0. For each datum x : n ← n + 1. Sum ← Sum + x. SumSq ← SumSq + x × x. Var = (SumSq − (Sum × Sum) / n) / (n − 1) This algorithm can easily be adapted to compute the variance of a finite population: simply ...

  4. Time complexity - Wikipedia

    en.wikipedia.org/wiki/Time_complexity

    In theoretical computer science, the time complexity is the computational complexity that describes the amount of computer time it takes to run an algorithm. Time complexity is commonly estimated by counting the number of elementary operations performed by the algorithm, supposing that each elementary operation takes a fixed amount of time to ...

  5. Best, worst and average case - Wikipedia

    en.wikipedia.org/wiki/Best,_worst_and_average_case

    Best, worst and average case. In computer science, best, worst, and average cases of a given algorithm express what the resource usage is at least, at most and on average, respectively. Usually the resource being considered is running time, i.e. time complexity, but could also be memory or some other resource.

  6. Amortized analysis - Wikipedia

    en.wikipedia.org/wiki/Amortized_analysis

    Amortized analysis. In computer science, amortized analysis is a method for analyzing a given algorithm's complexity, or how much of a resource, especially time or memory, it takes to execute. The motivation for amortized analysis is that looking at the worst-case run time can be too pessimistic. Instead, amortized analysis averages the running ...

  7. Batting average (cricket) - Wikipedia

    en.wikipedia.org/wiki/Batting_average_(cricket)

    In cricket, a players' batting average is the total number of runs they have scored divided by the number of times they have been out, usually given to two decimal places.. Since the number of runs a player scores and how often they get out are primarily measures of their own playing ability, and largely independent of their teammates, batting average is a good metric for an individual player ...

  8. Average-case complexity - Wikipedia

    en.wikipedia.org/wiki/Average-case_complexity

    Average-case complexity. In computational complexity theory, the average-case complexity of an algorithm is the amount of some computational resource (typically time) used by the algorithm, averaged over all possible inputs. It is frequently contrasted with worst-case complexity which considers the maximal complexity of the algorithm over all ...

  9. United States Marine Corps Physical Fitness Test - Wikipedia

    en.wikipedia.org/wiki/United_States_Marine_Corps...

    A perfect score is achieved by completing the three mile run in less than 18 minutes. The United States Marine Corps requires that all Marines perform a Physical Fitness Test (PFT) and a Combat Fitness Test (CFT) once each calendar year. Each test must be held at an interval of six months. The same standards apply for reservists.

  10. Quicksort - Wikipedia

    en.wikipedia.org/wiki/Quicksort

    Quicksort is an efficient, general-purpose sorting algorithm. Quicksort was developed by British computer scientist Tony Hoare in 1959 [1] and published in 1961. [2] It is still a commonly used algorithm for sorting. Overall, it is slightly faster than merge sort and heapsort for randomized data, particularly on larger distributions.

  11. Run-length encoding - Wikipedia

    en.wikipedia.org/wiki/Run-length_encoding

    Run-length encoding ( RLE) is a form of lossless data compression in which runs of data (consecutive occurrences of the same data value) are stored as a single occurrence of that data value and a count of its consecutive occurrences, rather than as the original run. As an imaginary example of the concept, when encoding an image built up from ...