The term "level structure" can refer to various concepts depending on the context. Here are a few interpretations: 1. **Education**: In educational contexts, level structure might refer to the organization of courses and programs into different levels (e.g., introductory, intermediate, advanced) to help guide students through their learning journey. 2. **Video Games**: In video game design, level structure refers to how different levels or stages of a game are organized and designed.
The term "induced path" typically arises in various contexts, such as in mathematics, particularly in graph theory. In graph theory, an **induced path** refers to a specific kind of subgraph of a graph.
In graph theory, the term "incidence" refers to the relationship between the edges and the vertices of a graph. Specifically, it describes how edges connect to vertices. In a graph: - A **vertex** is a point or a node. - An **edge** is a line connecting two vertices. There are a few important concepts associated with incidence in graphs: 1. **Incidence Relation**: An edge is said to be incident to the vertices it connects.
Hamiltonian decomposition is a concept in graph theory, particularly concerned with the decomposition of graphs into Hamiltonian cycles or paths. A **Hamiltonian cycle** is a cycle that visits every vertex of a graph exactly once and returns to the starting vertex, while a **Hamiltonian path** visits every vertex exactly once but does not return to the starting vertex. In Hamiltonian decomposition, the objective is to represent a given graph as a collection of Hamiltonian cycles or paths.
In graph theory, the **center** of a graph is a concept that refers to a specific set of vertices that minimize the maximum distance to all other vertices in the graph. In other words, the center of a graph consists of those vertices from which the farthest distance to any other vertex in the graph is minimized.
Graceful labeling is a concept in graph theory related to labeling the vertices of a graph in a specific way that satisfies certain criteria. A graph is said to be gracefully labeled if it can be assigned labels (usually integers) to its vertices such that the following conditions are met: 1. The labels assigned to the vertices are distinct integers, typically taken from the set {0, 1, 2, ...
An Eulerian path is a trail in a graph that visits every edge exactly once. It can begin and end at different vertices. The concept is named after the Swiss mathematician Leonhard Euler, who introduced it in the context of solving the famous Seven Bridges of Königsberg problem.
An **eternal dominating set** is a concept from graph theory, particularly in the study of domination in graphs. The idea revolves around the ability to monitor or control the vertices of a graph over time, adapting to changes such as the removal of vertices.
In graph theory, an "end" refers to a concept that is used to describe the behavior of infinite graphs. More formally, an end is a way of capturing the idea of "directions" or "ways to escape" from a finite portion of a graph toward infinity.
An edge cycle cover in graph theory is a collection of cycles that covers every edge of a graph exactly once. In other words, it is a set of cycles in which each edge of the graph is included in exactly one of the cycles. This concept is particularly relevant in the study of Eulerian paths and circuits.
Edge-graceful labeling is a concept in graph theory related to the labeling of the edges of a graph. Specifically, it refers to a particular way of assigning labels from a set of integers to the edges of a graph such that certain conditions are met.
In graph theory, a **cycle** is a path that starts and ends at the same vertex, with all other vertices in the path being distinct. More formally, a cycle in an undirected graph is defined as a sequence of vertices \( v_1, v_2, ...
In graph theory, the term "core" refers to a specific type of subgraph that captures some essential structural properties of the original graph. A **core** of a graph is often defined as a maximal subgraph in which every vertex has a degree (number of edges connected to it) of at least \( k \). This means that for a \( k \)-core, every vertex in the graph has at least \( k \) connections.
In graph theory, a **clique** is a subset of vertices in an undirected graph such that every two distinct vertices in the clique are adjacent. In simpler terms, a clique is a complete subgraph where every vertex is connected to every other vertex. More formally, a clique of size \( k \) is a set of \( k \) vertices such that there are edges between every pair of vertices in that set.
Chordal completion, also known as chordal graph completion, refers to the process of transforming a given graph into a chordal graph. A chordal graph (or "perfect graph") is defined as a graph in which every cycle of four or more vertices has a chord, which is an edge that is not part of the cycle but connects two vertices of the cycle. The process of chordal completion involves adding edges to the original graph in such a way that the resulting graph becomes chordal.
In graph theory, a **Blossom** refers to a specific structure that is relevant in the context of matching algorithms, particularly in the matching of general graphs. The Blossom structure is utilized to handle situations where augmenting paths may be of odd length, which can complicate the process of finding maximum matchings. The concept of Blossoms is associated with the **Edmonds' Blossom Algorithm**, developed by Jack Edmonds in the 1960s.
The term "bipolar orientation" typically refers to a sexual or romantic orientation characterized by attraction to individuals of two or more genders. However, it's important to clarify that the more commonly used term for this orientation is "bisexual." Bisexuality encompasses a range of experiences and identities, and individuals may identify as bisexual in different ways, reflecting their unique attractions and experiences.
An acyclic orientation of a directed graph (digraph) is an assignment of directions to the edges of the graph such that there are no directed cycles.
A **Hamiltonian path** is a specific type of path in a graph that visits each vertex exactly once. In other words, it is a trail in which every node (or vertex) of the graph is included exactly one time. A **Hamiltonian cycle** (or Hamiltonian circuit) is a special case of a Hamiltonian path where the path starts and ends at the same vertex, thus forming a closed loop that visits every vertex once.

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 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