<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Algorithm of Crow</title><link>http://www.bing.com:80/search?q=Algorithm+of+Crow</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Algorithm of Crow</title><link>http://www.bing.com:80/search?q=Algorithm+of+Crow</link></image><copyright>Copyright © 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.</copyright><item><title>algorithm - What does O (log n) mean exactly? - Stack Overflow</title><link>https://stackoverflow.com/questions/2307283/what-does-olog-n-mean-exactly</link><description>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.</description><pubDate>Wed, 25 Mar 2026 16:04:00 GMT</pubDate></item><item><title>algorithm - What is a plain English explanation of "Big O" notation ...</title><link>https://stackoverflow.com/questions/487258/what-is-a-plain-english-explanation-of-big-o-notation</link><description>Similarly, an algorithm that only has to do one step which takes a constant amount of time is also considered to be an O (1) algorithm, but also to be an O (n) and an O (n^2) algorithm. But maybe mathematicians and computer scientists don't agree on the definition :-/.</description><pubDate>Tue, 14 Apr 2026 08:37:00 GMT</pubDate></item><item><title>Newest 'algorithm' Questions - Stack Overflow</title><link>https://stackoverflow.com/questions/tagged/algorithm?tab=Newest</link><description>[algorithm] 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 Watch tag Go to Wiki 121,491 questions Newest</description><pubDate>Fri, 10 Apr 2026 01:54:00 GMT</pubDate></item><item><title>What is the difference between a heuristic and an algorithm?</title><link>https://stackoverflow.com/questions/2334225/what-is-the-difference-between-a-heuristic-and-an-algorithm</link><description>An algorithm is the description of an automated solution to a problem. What the algorithm does is precisely defined. The solution could or could not be the best possible one but you know from the start what kind of result you will get. You implement the algorithm using some programming language to get (a part of) a program. Now, some problems are hard and you may not be able to get an ...</description><pubDate>Mon, 13 Apr 2026 09:07:00 GMT</pubDate></item><item><title>algorithm - Finding all possible combinations of numbers to reach a ...</title><link>https://stackoverflow.com/questions/4632322/finding-all-possible-combinations-of-numbers-to-reach-a-given-sum</link><description>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...</description><pubDate>Mon, 13 Apr 2026 15:12:00 GMT</pubDate></item><item><title>Where can I find information on the D* or D* Lite pathfinding algorithm?</title><link>https://stackoverflow.com/questions/2900718/where-can-i-find-information-on-the-d-or-d-lite-pathfinding-algorithm</link><description>As opposed to repeated A* search, the D* Lite algorithm avoids replanning from scratch and incrementally repair path keeping its modifications local around robot pose. if you would like to really understand the algorithm. I suggest you start by reading through the pseudo code for A* and implement it.</description><pubDate>Wed, 15 Apr 2026 09:12:00 GMT</pubDate></item><item><title>algorithm - Calculate distance between two latitude-longitude points ...</title><link>https://stackoverflow.com/questions/27928/calculate-distance-between-two-latitude-longitude-points-haversine-formula</link><description>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...</description><pubDate>Sat, 11 Apr 2026 07:08:00 GMT</pubDate></item><item><title>What is Sliding Window Algorithm? Examples? - Stack Overflow</title><link>https://stackoverflow.com/questions/8269916/what-is-sliding-window-algorithm-examples</link><description>While solving a geometry problem, I came across an approach called Sliding Window Algorithm. Couldn't really find any study material/details on it. What is the algorithm about?</description><pubDate>Mon, 13 Apr 2026 15:20:00 GMT</pubDate></item><item><title>algorithm - What is the difference between depth and height in a tree ...</title><link>https://stackoverflow.com/questions/2603692/what-is-the-difference-between-depth-and-height-in-a-tree</link><description>This is a simple question from algorithms theory. The difference between them is that in one case you count number of nodes and in other number of edges on the shortest path between root and concrete</description><pubDate>Mon, 13 Apr 2026 15:27:00 GMT</pubDate></item><item><title>algorithm - Peak signal detection in realtime timeseries data - Stack ...</title><link>https://stackoverflow.com/questions/22583391/peak-signal-detection-in-realtime-timeseries-data</link><description>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 ...</description><pubDate>Thu, 26 Mar 2026 07:20:00 GMT</pubDate></item></channel></rss>