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  • algorithm - Peak signal detection in realtime timeseries data - Stack . . .
    Robust peak detection algorithm (using z-scores) I came up with an algorithm that works very well for these types of datasets It is based on the principle of dispersion: if a new datapoint is a given x number of standard deviations away from a moving mean, the algorithm gives a signal The algorithm is very robust because it constructs a separate moving mean and deviation, such that previous
  • algorithm - Finding all possible combinations of numbers to reach a . . .
    How would you go about testing all possible combinations of additions from a given set N of numbers so they add up to a given final number? A brief example: Set of numbers to add: N = {1,5,22,15,0
  • algorithm - Calculate distance between two latitude-longitude points . . .
    How do I calculate the distance between two points specified by latitude and longitude? For clarification, I'd like the distance in kilometers; the points use the WGS84 system and I'd like to unde
  • The best shortest path algorithm - Stack Overflow
    What is the difference between the "Floyd-Warshall algorithm" and "Dijkstra's Algorithm", and which is the best for finding the shortest path in a graph? I need to calculate the shortest path betw
  • What is the fastest integer factorization algorithm?
    The algorithm picks on a number A along the curve, then looks up the safe distance and jumps to the next hashtable, or at least the algorithm does those factor checks until the next hashtable becomes available Given enough hashtables, I'm thinking we can pretty much avoid most of the checking Notes on lookup tables
  • algorithm - What does O (log n) mean exactly? - Stack Overflow
    A common algorithm with O (log n) time complexity is Binary Search whose recursive relation is T (n 2) + O (1) i e at every subsequent level of the tree you divide problem into half and do constant amount of additional work
  • algorithm - When should I use Kruskal as opposed to Prim (and vice . . .
    I was wondering when one should use Prim's algorithm and when Kruskal's to find the minimum spanning tree? They both have easy logics, same worst cases, and only difference is implementation which
  • c - Fast CRC algorithm? - Stack Overflow
    CRC32 algorithm is exactly what I'm looking for, but I can't use it because the table it requires is way too huge (it is for an embedded system where resources are VERY rare) So: any suggestions for a fast and slim CRC algorithm? It does not matter when collisions are a bit more probable than with the original CRC32


















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