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2. Naismith's rule - Wikipedia

   en.wikipedia.org/wiki/Naismith's_rule

   Scarf's equivalence between distance and climb. Alternatively, the rule can be used to determine the equivalent flat distance of a route. This is achieved by recognising that Naismith's rule implies an equivalence between distance and climb in time terms: 3 miles (=15,840 feet) of distance is equivalent in time terms to 2000 feet of climb.

3. Hamming distance - Wikipedia

   en.wikipedia.org/wiki/Hamming_distance

   The running time of this procedure is proportional to the Hamming distance rather than to the number of bits in the inputs. It computes the bitwise exclusive or of the two inputs, and then finds the Hamming weight of the result (the number of nonzero bits) using an algorithm of Wegner (1960) that repeatedly finds and clears the lowest-order ...

4. Cooper test - Wikipedia

   en.wikipedia.org/wiki/Cooper_test

   The cooper test which was designed by Kenneth H. Cooper in 1968 for US military use is a physical fitness test. [1] [2] [3] In its original form, the point of the test is to run as far as possible within 12 minutes. Pacing is important, as the participant will not cover a maximal distance if they begin with a pace too close to an all out sprint ...

5. Dijkstra's algorithm - Wikipedia

   en.wikipedia.org/wiki/Dijkstra's_algorithm

   Therefore, dist[v] is the shortest distance. Running time. Bounds of the running time of Dijkstra's algorithm on a graph with edges E and vertices V can be expressed as a function of the number of edges, denoted | |, and the number of vertices, denoted | |, using big-O notation.

6. Nearest neighbor search - Wikipedia

   en.wikipedia.org/wiki/Nearest_neighbor_search

   The simplest solution to the NNS problem is to compute the distance from the query point to every other point in the database, keeping track of the "best so far". This algorithm, sometimes referred to as the naive approach, has a running time of O(dN), where N is the cardinality of S and d is the dimensionality of S. There are no search data ...

7. 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.