Most people with a degree in CS know what Big O stands for. It helps us to measure how well an algorithm scales. How do you calculate or approximate the complexity of your algorithms?

Sep 1, 2009 · Algorithm A can't tell the difference between two similar inputs instances where only x 's value changes. If x is the minimum in one of these instances and not in the other, then A will fail to …

Feb 22, 2010 · 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 …

Apr 16, 2015 · The peak-finding algorithm would find the location of these peaks (not just their values), and ideally would find the true inter-sample peak, not just the index with maximum value, probably …

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 …

Jan 20, 2017 · 4 The algorithm you describe is called linear interpolation, and is one of the fastest algorithms, but isn't the best on images.

Apr 14, 2009 · What is the most efficient algorithm to achieve the following: 0010 0000 => 0000 0100 The conversion is from MSB->LSB to LSB->MSB. All bits must be reversed; that is, this is not …

The hashing algorithm needs to be deterministic i.e. given the same input it must always produce the same output. Reduce Collisions The algorithm that calculates a hash code needs to keep hash …

An algorithm is a sequence of well-defined steps that defines an abstract solution to a problem. Sign up to watch this tag and see more personalized content

May 23, 2017 · Therefore, if there is algorithm that works by repeatedly reducing the problem to a subproblem of size that is the square root of the original problem size, that algorithm will terminate …