http://www.bing.com:80/search?q=Algorithm+and+Flowchart+BasicsSearch resultshttp://www.bing.com:80/s/a/rsslogo.gifhttp://www.bing.com:80/search?q=Algorithm+and+Flowchart+BasicsCopyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.https://stackoverflow.com/questions/3255/how-do-you-calculate-approximate-big-oMost 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?Tue, 07 Apr 2026 18:04:00 GMThttps://stackoverflow.com/questions/2307283/what-does-olog-n-mean-exactlyA 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.Tue, 07 Apr 2026 03:17:00 GMThttps://stackoverflow.com/questions/1364444/difference-between-big-o-and-little-o-notationAlgorithm 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 find the minimum on (at least) one of these two instances. In other words, finding the minimum in an array is in not in o(n) and is therefore in 𝛺(n).Wed, 22 Apr 2026 03:49:00 GMThttps://stackoverflow.com/questions/1713335/peak-finding-algorithm-for-python-scipyThe 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 using quadratic interpolation or something.Mon, 20 Apr 2026 18:25:00 GMThttps://stackoverflow.com/questions/22583391/peak-signal-detection-in-realtime-timeseries-dataRobust 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 ...Sun, 05 Apr 2026 09:02:00 GMThttps://stackoverflow.com/questions/384991/what-is-the-best-image-downscaling-algorithm-quality-wise4 The algorithm you describe is called linear interpolation, and is one of the fastest algorithms, but isn't the best on images.Mon, 20 Apr 2026 18:03:00 GMThttps://stackoverflow.com/questions/746171/efficient-algorithm-for-bit-reversal-from-msb-lsb-to-lsb-msb-in-cWhat 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 endianness-Mon, 06 Apr 2026 18:12:00 GMThttps://stackoverflow.com/questions/263400/what-is-the-best-algorithm-for-overriding-gethashcodeThe 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 collisions to a minumum. A hash collision is a situation that occurs when two calls to GetHashCode on two different objects produce identical hash codes.Sat, 04 Apr 2026 15:52:00 GMThttps://stackoverflow.com/questions/16472012/what-would-cause-an-algorithm-to-have-olog-log-n-complexityTherefore, 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 after O (log log n) steps. One real-world example of this is the van Emde Boas tree (vEB-tree) data structure.Wed, 22 Apr 2026 07:59:00 GMThttps://stackoverflow.com/questions/1517793/what-is-stability-in-sorting-algorithms-and-why-is-it-importantA sorting algorithm is said to be stable if two objects with equal keys appear in the same order in sorted output as they appear in the input unsorted array. Some sorting algorithms are stable by nature like Insertion sort, Merge Sort, Bubble Sort, etc.Tue, 21 Apr 2026 01:41:00 GMT