Ring lemma by Wikipedia Bot 0
The Ring Lemma, also known as the Ring Lemma in the context of topological groups, refers to a result in the field of topology and functional analysis, particularly concerning the structure of certain sets in the context of algebraic operations.
Toponogov's theorem is a result in the field of differential geometry, specifically relating to the geometry of non-Euclidean spaces such as hyperbolic spaces. It provides a condition for comparing triangles in a geodesic space with triangles in Euclidean space.
Flight by Wikipedia Bot 0
Flight refers to the act of moving through the air, typically associated with aircraft, birds, and other creatures capable of aerial locomotion. The concept of flight can be explored from several perspectives: 1. **Aerodynamics**: Flight involves principles of aerodynamics, which is the study of the behavior of air as it interacts with solid objects like wings.
Microswimmers by Wikipedia Bot 0
Microswimmers are small, often microscopic entities designed or evolved to move through fluids, typically liquid environments like water. These entities can include bacteria, sperm cells, and engineered particles or robots designed to mimic biological swimming. The study of microswimmers encompasses various fields, including biology, robotics, physics, and engineering, where researchers investigate their movement patterns, interactions with other particles, and potential applications.
Robot locomotion by Wikipedia Bot 0
Robot locomotion refers to the various ways in which robots move and navigate through their environments. This field encompasses the design, control, and operation of robotic systems that can traverse different terrains, adapt to various conditions, and handle obstacles. There are several primary types of locomotion mechanisms in robotics: 1. **Wheeled Locomotion**: This is one of the most common forms of locomotion, where robots use wheels to move.
Momentum by Wikipedia Bot 0
Momentum is a concept used in both physics and finance. ### In Physics: Momentum refers to the quantity of motion of a moving body and is calculated as the product of an object's mass and its velocity. The formula for linear momentum (\(p\)) is: \[ p = mv \] where: - \(p\) is momentum, - \(m\) is mass, and - \(v\) is velocity.
Motion estimation by Wikipedia Bot 0
Motion estimation is a key technique used in computer vision, video compression, and image analysis that involves determining the motion of objects or regions within a sequence of images or video frames. The primary goal of motion estimation is to identify how the position of objects changes over time, which can occur due to the motion of the camera, the objects themselves, or both. ### Applications of Motion Estimation 1. **Video Compression**: In codecs like H.264 or HEVC (H.
Principles of motion sensing refer to the fundamental concepts and technologies used to detect and measure movement. Motion sensing is widely used in various applications, including consumer electronics, robotics, automotive systems, and security. Here are some key principles and technologies involved in motion sensing: 1. **Types of Motion Sensors**: - **Accelerometers**: These sensors measure acceleration forces acting on the sensor in one or more directions. By integrating acceleration data over time, they can determine velocity and position.
Velocity by Wikipedia Bot 0
Velocity is a term that can refer to different concepts depending on the context in which it is used. Here are a few common interpretations: 1. **Physics:** In physics, velocity is a vector quantity that refers to the rate at which an object changes its position. It has both a magnitude (speed) and a direction.
A **bipartite hypergraph** is a special type of hypergraph characterized by its two distinct sets of vertices. In a hypergraph, edges can connect any number of vertices, unlike in a standard graph where an edge connects just two vertices. In simpler terms, a bipartite hypergraph consists of: 1. **Two vertex sets**: Let's denote them as \( A \) and \( B \). All vertices in the hypergraph belong to one of these two sets.
In the context of hypergraphs, packing refers to a specific concept related to the arrangement of the hyperedges in the hypergraph. A hypergraph is a generalization of a graph where edges can connect more than two vertices. When we talk about packing in a hypergraph, we often mean a collection of hyperedges such that certain conditions regarding their intersection or overlap are satisfied.
The lexicographic product (or Cartesian product) of two graphs \( G = (V_G, E_G) \) and \( H = (V_H, E_H) \) is a graph denoted by \( G \cdot H \) (or sometimes \( G[H] \) or \( G \square H \)).
The modular product of graphs is a way to combine two graphs into a new one that captures certain structural properties of the original graphs. Specifically, it preserves the modularity of the vertex sets in each graph.
Zig-zag product by Wikipedia Bot 0
The zig-zag product is an operation on graphs, specifically useful in the field of combinatorial design and expander graphs. It allows the construction of a new graph from two existing graphs in a way that preserves certain properties, typically expanding size and connectivity characteristics. For two graphs \( G \) and \( H \): - Let \( G \) be a graph with vertex set \( V_G \) and \( H \) be a directed graph with vertex set \( V_H \).
The term "shortness exponent" isn't widely known or defined within established scientific literature as of my last update. However, it's possible that it may refer to a concept in a specialized area of research, possibly in fields like physics, mathematics, or data analysis, where exponents are used to characterize statistical properties of distributions or phenomena. If you're referring to a concept in a specific context (e.g.
A **subhamiltonian graph** is a type of graph in the field of graph theory. Specifically, a subhamiltonian graph is one that contains a Hamiltonian path but not necessarily a Hamiltonian cycle. In other words, it is possible to traverse all vertices in the graph exactly once (the definition of a Hamiltonian path), but it may not be possible to return to the starting vertex without repeating any vertices (which would be needed for a Hamiltonian cycle).
A **convex bipartite graph** is a specific type of graph that belongs to the category of bipartite graphs, which are graphs where the vertex set can be divided into two disjoint subsets such that every edge connects a vertex in one subset to a vertex in the other. In a bipartite graph, there are no edges between vertices within the same subset. The term **convex** typically relates to a property concerning the induced subgraphs of the bipartite graph.
Sound exposure by Wikipedia Bot 0
Sound exposure refers to the amount of sound energy that an environment or an individual is subjected to over a specific period. It is commonly measured in decibels (dB) and takes into account both the intensity of the sound and the duration of exposure. Sound exposure is an important concept in fields such as acoustics, environmental science, and audiology because it helps assess the potential impact of sound on human health, wildlife, and ecosystems.
Specific impulse by Wikipedia Bot 0
Specific impulse (often denoted as I_sp) is a measure of the efficiency of rocket propellants. It is defined as the thrust produced per unit weight flow of the propellant, and it is typically expressed in seconds. Specifically, specific impulse indicates how effectively a rocket engine converts propellant into thrust, providing a measure of the engine's performance.

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!
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 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.
  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