The imaginary unit, denoted as \( i \), is a fundamental concept in complex numbers. It is defined as the square root of \(-1\). This means: \[ i^2 = -1 \] The imaginary unit allows for the extension of the number system to include numbers that cannot be represented on the traditional number line.
A partial groupoid is a generalization of a groupoid in the context of category theory and algebra. To understand what a partial groupoid is, we first need to recall the definition of a groupoid. A **groupoid** is a category in which every morphism (arrow) is invertible. Formally, a groupoid consists of a set of objects and a set of morphisms between these objects that allow for composition and inverses.
A pseudorandom ensemble in the context of computer science and cryptography refers to a collection of pseudorandom objects or sequences that exhibit properties similar to those of random sequences, despite being generated in a deterministic manner. These objects are critical in algorithms, simulations, cryptographic systems, and various applications where true randomness is either unavailable or impractical to obtain.
Program Design Language (PDL) is a method used in software engineering and system design to specify algorithms and program logic in a structured, yet informal way. It serves as a bridge between the problem statement and the actual code that will be written in a specific programming language. PDL is often used for documenting the design and logic of a program before the coding phase begins, allowing designers and developers to focus on the flow of the program without getting bogged down in the syntax of a particular programming language.
In mathematics, a **module** is a generalization of the concept of a vector space. While vector spaces are defined over a field, modules allow for the scalars to be elements of a more general algebraic structure called a ring.
Parsing algorithms are computational methods used to analyze the structure of input data, often in the form of strings or sequences, to determine their grammatical structure according to a set of rules or a formal grammar. Parsing is a fundamental aspect of various fields such as computer programming, natural language processing (NLP), and data processing. ### Key Concepts in Parsing: 1. **Grammar**: This refers to a set of rules that define the structure of the strings of a language.
Disulfur is a chemical compound consisting of two sulfur atoms, represented by the formula \( S_2 \). It is most commonly encountered in its molecular form, often referred to as molecular sulfur. Disulfur is a pale yellow, crystalline solid that can be found in several allotropes, including orthorhombic and monoclinic forms. Disulfur is typically produced through the combustion of sulfur or can be formed under specific conditions in volcanic environments.
Catherine Sulem is a prominent mathematician known for her contributions to various fields, particularly in applied mathematics, partial differential equations, and analysis. She has made significant advancements in understanding nonlinear phenomena and mathematical modeling, including fluid dynamics and the mathematical study of biological systems. Sulem has held academic positions at various institutions and has published numerous research papers.
PlusCal is a high-level, algorithmic programming language designed to describe algorithms in a way that is both human-readable and suitable for formal verification. It was developed as part of the TLA+ (Temporal Logic of Actions) framework, which is a formal specification language used for describing and verifying the behavior of concurrent and distributed systems. PlusCal is designed to bridge the gap between informal algorithm descriptions and formal specifications.
The Berry paradox is a self-referential paradox that arises in mathematical logic and set theory. It is named after the British mathematician G. G. Berry, who introduced the concept in the early 20th century. The paradox is typically formulated as follows: Consider the expression "the smallest natural number that cannot be described in fewer than eleven words." This statement appears to refer to a specific natural number, but leads to a contradiction.
Kolmogorov complexity, named after the Russian mathematician Andrey Kolmogorov, is a concept in algorithmic information theory that quantifies the complexity of a string or object in terms of the length of the shortest possible description or program that can generate that string using a fixed computational model (usually a Turing machine).
Algorithm aversion refers to the phenomenon where individuals exhibit a preference for human decision-makers over automated systems or algorithms, even when the latter may demonstrate superior accuracy and consistency. This aversion can emerge in various contexts, such as healthcare, finance, and job recruitment, where algorithms are used to make predictions or decisions.
An algorithmically random sequence, also referred to as a Martin-Löf random sequence, is a concept from algorithmic information theory and descriptive complexity that deals with the randomness of sequences based on their computational complexity. In essence, an algorithmically random sequence is one that cannot be compressed or predicted by any algorithmic process. Here are some key points about algorithmically random sequences: 1. **Incompressibility**: An algorithmically random sequence cannot be produced by any shorter deterministic process.
Minimum Message Length (MML) is a principle from information theory and statistics that is used for model selection and data compression. It provides a way to quantify the amount of information contained in a message and helps determine the best model for a given dataset by minimizing the total length of the message needed to encode both the model and the data.
String sorting algorithms are methods used to arrange a collection of strings in a specific order, typically ascending or descending lexicographically. Lexicographical order is similar to dictionary order, where strings are compared character by character according to their Unicode values. There are several algorithms that can sort strings, and they generally fall into a few main categories: ### 1. Comparison-based Sorting Algorithms These algorithms compare strings directly based on their lexicographical order.
A **suffix automaton** is a type of automaton used to accept the set of suffixes of a given string. It's a powerful data structure in computer science, particularly in the fields of string processing and pattern matching. Here's a detailed explanation of the concept: ### Definition: A *suffix automaton* for a string `S` is a deterministic finite automaton (DFA) that has states corresponding to the distinct substrings of `S`.
The Hunt–Szymanski algorithm is an efficient algorithm used for solving the problem of finding the longest increasing subsequence (LIS) in a sequence of numbers. The algorithm is notable for its better performance compared to more straightforward methods, particularly for larger sequences. ### Overview of the Algorithm The Hunt–Szymanski algorithm operates with a time complexity of \(O(n \log n)\), which makes it suitable for large datasets.
Pinned article: 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 3. Visual Studio Code extension installation.Figure 4. Visual Studio Code extension tree navigation.Figure 5. Web editor. 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.Video 4. OurBigBook Visual Studio Code extension editing and navigation demo. Source. - 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





