Argus Laser typically refers to a specific type of laser system developed by various manufacturers, often used for industrial, medical, or research applications. However, there may be different systems or technologies that bear the "Argus" name, including those in the fields of manufacturing, telecommunications, or scientific research. For example, some Argus laser systems may focus on precision cutting, welding, or marking materials, while others may be used in medical procedures such as laser surgery or dermatology.
The National Energy Research Scientific Computing Center (NERSC) is a high-performance computing facility located at Lawrence Berkeley National Laboratory (Berkeley Lab) in California. It is operated by the U.S. Department of Energy (DOE) and serves as a key resource for scientists and researchers in the energy and physical sciences.
SCALD can refer to different things depending on the context. The most common meanings include: 1. **Scald (general term)**: A burn caused by hot liquids or steam. Scalding injuries are often associated with incidents involving hot water, cooking liquids, or steam. 2. **SCALD in computing**: It may refer to an acronym or specific software used in a particular field or application.
Silo is a library that focuses on providing a simple and efficient interface for building scalable and high-performance applications, particularly in the context of data processing and in-memory computing. It is designed to facilitate the management of distributed systems, enabling developers to work with large-scale data and perform complex computations. Key features of Silo might include: 1. **Distributed Computing**: Silo often supports distributed architectures, allowing applications to leverage multiple nodes for processing data more efficiently.
The UGM-27 Polaris was a submarine-launched ballistic missile (SLBM) developed by the United States in the late 1950s. It was part of a family of weapons designed to provide the U.S. Navy with a second-strike capability during the Cold War. The Polaris was specifically designed for deployment on nuclear-powered submarines, notably the George Washington-class submarines.
Ani Aprahamian is a prominent physicist known for her work in nuclear experimental physics. She has made significant contributions to the understanding of nuclear structure and reactions, particularly in relation to the processes that occur in stars and during stellar nucleosynthesis. Aprahamian is also noted for her involvement in educational initiatives and her advocacy for increasing diversity in the sciences, including efforts to support women and underrepresented groups in physics.
Linear operators are mathematical functions that map elements from one vector space to another (or possibly the same vector space) while adhering to the principles of linearity.
OS/2 is an operating system developed by IBM and originally intended to be the successor to MS-DOS. The project was initiated in the mid-1980s as a collaboration between IBM and Microsoft, but after a falling out between the companies, IBM continued the development of OS/2 on its own. OS/2 was designed to run on personal computers and provided a graphical user interface (GUI), multitasking capabilities, and support for 32-bit applications.
Shadow was a graphical user interface (GUI) for the OS/2 operating system, primarily developed during the early 1990s. It was designed as a desktop environment that provided users with a more visually appealing and user-friendly experience than the standard OS/2 GUI at the time. Shadow aimed to enhance user interaction by offering features such as improved window management, customizable desktop elements, and better integration of applications.
TOPS can refer to various things depending on the context. Here are a few common interpretations: 1. **TOPS (Tera Operations Per Second)**: In computing, this term is used to measure the performance of artificial intelligence and high-performance computing systems. It refers to the number of trillion operations a system can perform in one second.
An accumulation point (or limit point) of a subset \( A \) of a topological space \( X \) is a point \( x \in X \) such that every neighborhood of \( x \) contains at least one point from \( A \) that is different from \( x \) itself.
Heiligenschein, which translates to "holy light" in German, refers to an optical phenomenon that occurs when a light source, such as the sun, shines on dewdrops or mist with a dark background. This effect creates a bright halo or light ring around the shadow of an object, usually seen in nature. The phenomenon is due to the interaction of light with the spherical shape of the water droplets, which acts like tiny lenses.
A **periodic point** is a concept from dynamical systems and mathematical analysis. Specifically, a point \( x \) in a dynamical system is said to be periodic with period \( n \) if, when the system iteratively applies a function \( f \), the point eventually returns to its original position after \( n \) iterations.
Invariant subspaces are a concept from functional analysis and operator theory that refers to certain types of subspaces of a vector space that remain unchanged under the action of a linear operator. More specifically: Let \( V \) be a vector space and \( T: V \to V \) be a linear operator (which can be a matrix in finite dimensions or more generally a bounded or unbounded linear operator in infinite dimensions).
Richard M. Friedberg is a prominent figure in the field of mathematics, particularly known for his work in mathematical education and research. He is often associated with topics related to mathematical logic, algebra, and mathematical theory. If you have a more specific context or aspect of Richard M.
Orthonormality is a concept found primarily in linear algebra and functional analysis, particularly in the context of vector spaces and inner product spaces. A set of vectors is said to be orthonormal if the following two conditions are satisfied: 1. **Orthogonality**: The vectors are orthogonal to each other, meaning that the inner product (dot product in Euclidean space) of any two distinct vectors is zero.
A basis function is a fundamental component in various fields such as mathematics, statistics, and machine learning. It serves as a building block for constructing more complex functions or representations. Here are some key points about basis functions: 1. **Mathematical Definition**: In the context of functional analysis, a set of functions is considered a basis if any function in a certain function space can be expressed as a linear combination of those basis functions.
In the context of module theory, which is a branch of abstract algebra, the direct sum of modules is a way to combine two or more modules into a new module.
A glossary of linear algebra typically includes key terms and concepts that are fundamental to the study and application of linear algebra. Here’s a list of some important terms you might find in such a glossary: ### Glossary of Linear Algebra 1. **Vector**: An element of a vector space; often represented as a column or row of numbers. 2. **Matrix**: A rectangular array of numbers arranged in rows and columns.

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!
We have two killer features:
  1. 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-calculus
    Articles 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/derivative
  2. 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.
    Figure 2.
    You can publish local OurBigBook lightweight markup files to either https://OurBigBook.com or as a static website
    .
    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.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
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