Banburismus is a term used to describe a method of statistical analysis and decision-making introduced by British mathematician and logician Frank P. Ramsey and later developed by Alan Turing and his team during World War II. The primary purpose of Banburismus was to improve the process of decrypting messages encoded by the German Enigma machine.
The Elston–Stewart algorithm is a statistical method used for computing the likelihoods of genetic data in the context of genetic linkage analysis. It is particularly useful in the study of pedigrees, which are family trees that display the transmission of genetic traits through generations. ### Key Features of the Elston–Stewart Algorithm: 1. **Purpose**: The algorithm is designed to efficiently compute the likelihood of observing certain genotypes (genetic variants) in a family pedigree given specific genetic models.
The Misra-Gries algorithm is a classic algorithm in computer science that is used to identify "heavy hitters" in a data stream. A heavy hitter is defined as an element whose frequency of occurrence in the stream exceeds a certain threshold. This kind of problem is particularly relevant in scenarios like network traffic monitoring, data mining, and streaming data analysis.
The One-pass algorithm, also known as a streaming algorithm or online algorithm, refers to a class of algorithms designed to process a data stream in a single pass, meaning that they can analyze or summarize data without needing to store the entire dataset in memory at once. This makes one-pass algorithms particularly useful for handling large datasets that exceed memory capacity.
ISO/IEC 14651 is an international standard that defines the rules for character string comparison, also known as collation. It provides a way to compare strings in a locale-sensitive manner, meaning the comparison takes into account various linguistic characteristics that influence the ordering of characters in different languages and scripts. The standard specifies a set of rules for defining collation orders, which include considerations such as: 1. **Character weight**: Each character is assigned a weight, which determines its importance in comparison.
AWPP stands for "All Weather Protection Plan." However, this acronym could refer to different concepts depending on the context in which it is used. For instance, it could relate to insurance policies designed to provide coverage against various weather-related damages, or it could pertain to specific strategies or products in sectors like outdoor equipment or construction that aim to ensure durability and safety in adverse weather conditions.
In computational complexity theory, NE stands for "nondeterministic exponential time." This complexity class consists of decision problems for which a solution can be verified by a deterministic Turing machine in exponential time, given a suitable certificate (or witness) that satisfies the problem.
A continuous automaton is a type of mathematical model used in the study of systems that evolve over time in a continuous manner. Unlike traditional automata, which operate on discrete states and inputs, continuous automata deal with aspects where state changes occur continuously, often representing physical systems or processes described by differential equations.
Pinned article: ourbigbook/introduction-to-the-ourbigbook-project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.Figure 3. Visual Studio Code extension installation.Figure 5. . You can also edit articles on the Web editor without installing anything locally. Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact