<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Algorithm for 2 Graders</title><link>http://www.bing.com:80/search?q=Algorithm+for+2+Graders</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Algorithm for 2 Graders</title><link>http://www.bing.com:80/search?q=Algorithm+for+2+Graders</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>how do *you* calculate/approximate Big O? - Stack Overflow</title><link>https://stackoverflow.com/questions/3255/how-do-you-calculate-approximate-big-o</link><description>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?</description><pubDate>Tue, 07 Apr 2026 18:04:00 GMT</pubDate></item><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>Tue, 07 Apr 2026 03:17:00 GMT</pubDate></item><item><title>Peak-finding algorithm for Python/SciPy - Stack Overflow</title><link>https://stackoverflow.com/questions/1713335/peak-finding-algorithm-for-python-scipy</link><description>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 using quadratic interpolation or something.</description><pubDate>Tue, 14 Apr 2026 19:58:00 GMT</pubDate></item><item><title>Difference between Big-O and Little-O Notation - Stack Overflow</title><link>https://stackoverflow.com/questions/1364444/difference-between-big-o-and-little-o-notation</link><description>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 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).</description><pubDate>Fri, 17 Apr 2026 05:28:00 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>Sun, 05 Apr 2026 09:02:00 GMT</pubDate></item><item><title>What is the best algorithm for overriding GetHashCode?</title><link>https://stackoverflow.com/questions/263400/what-is-the-best-algorithm-for-overriding-gethashcode</link><description>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 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.</description><pubDate>Sat, 04 Apr 2026 15:52:00 GMT</pubDate></item><item><title>Efficient Algorithm for Bit Reversal (from MSB-&gt;LSB to LSB-&gt;MSB) in C</title><link>https://stackoverflow.com/questions/746171/efficient-algorithm-for-bit-reversal-from-msb-lsb-to-lsb-msb-in-c</link><description>What is the most efficient algorithm to achieve the following: 0010 0000 =&gt; 0000 0100 The conversion is from MSB-&gt;LSB to LSB-&gt;MSB. All bits must be reversed; that is, this is not endianness-</description><pubDate>Mon, 06 Apr 2026 18:12:00 GMT</pubDate></item><item><title>Algorithm for simplifying decimal to fractions - Stack Overflow</title><link>https://stackoverflow.com/questions/5124743/algorithm-for-simplifying-decimal-to-fractions</link><description>Is the algorithm available in my favorite language? What is the code size of the algorithm? Is the algorithm readable, understandable? Source code The source code below contains all used algorithms. It includes: My original algorithm (with comments) A even faster version of my algorithm (but less readable) The original slow algorithm All tested ...</description><pubDate>Sun, 05 Apr 2026 13:34:00 GMT</pubDate></item><item><title>What would cause an algorithm to have O(log log n) complexity?</title><link>https://stackoverflow.com/questions/16472012/what-would-cause-an-algorithm-to-have-olog-log-n-complexity</link><description>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 after O (log log n) steps. One real-world example of this is the van Emde Boas tree (vEB-tree) data structure.</description><pubDate>Wed, 15 Apr 2026 00:01:00 GMT</pubDate></item><item><title>A simple algorithm for polygon intersection - Stack Overflow</title><link>https://stackoverflow.com/questions/2272179/a-simple-algorithm-for-polygon-intersection</link><description>I'm looking for a very simple algorithm for computing the polygon intersection/clipping. That is, given polygons P, Q, I wish to find polygon T which is contained in P and in Q, and I wish T to be</description><pubDate>Thu, 16 Apr 2026 16:35:00 GMT</pubDate></item></channel></rss>