Polish letter by Ciro Santilli 37 Updated +Created
The longest uncrossed knight's path refers to a path traced by a knight on a chessboard where the knight visits each square without revisiting any square (i.e., without crossing over itself or visiting the same square more than once). This kind of problem is often explored in the context of graph theory and combinatorial optimization.
In graph theory, a **matching** is a set of edges in a graph such that no two edges share a common vertex. In other words, it is a way of pairing the vertices of a graph such that each vertex is included in at most one edge of the matching. Here's a more detailed explanation: 1. **Vertices and Edges**: A graph consists of a set of vertices (nodes) and a set of edges (connections between pairs of vertices).
Maximum cut by Wikipedia Bot 0
The Maximum Cut (Max Cut) problem is a well-known problem in combinatorial optimization and graph theory. It involves a given undirected graph, where the goal is to partition the set of vertices into two disjoint subsets in such a way that the number of edges between the two subsets is maximized.
Polykarp Kusch by Ciro Santilli 37 Updated +Created
The maximum flow problem is a classic optimization problem in network flow theory, which aims to find the maximum flow that can be sent from a source node (often referred to as the "source") to a sink node (often referred to as the "sink" or "target") in a flow network. A flow network is a directed graph where each edge has a capacity representing the maximum allowable flow that can pass through that edge.
Lavoisier Medal by Wikipedia Bot 0
The Lavoisier Medal is an award given by the Société Chimique de France (SCF) in recognition of outstanding contributions to the field of chemistry. Named after Antoine Lavoisier, a prominent French chemist often referred to as the "father of modern chemistry," the medal honors individuals who have made significant advancements in chemical research, education, or applications.
Polymorphism (computer science) by Ciro Santilli 37 Updated +Created
The Multi-trials technique is often associated with experimental and statistical research methodologies, particularly in the context of optimization and quality control. Although the term can be used in different fields, it generally refers to the practice of conducting multiple trials or experimental runs to obtain reliable and generalizable results. Here are some key aspects: 1. **Purpose**: The main aim is to understand variability, optimize processes, or improve the reliability of data.
Nondeterministic Constraint Logic (NCL) is a computational framework that combines aspects of constraint satisfaction problems (CSPs) and nondeterministic computation. In traditional constraint logic, one deals with variables, domains, and constraints to find assignments that satisfy certain conditions. Nondeterministic computation, on the other hand, allows for multiple potential outcomes or paths in solving a problem, often represented in theoretical computer science by concepts such as nondeterministic Turing machines.
Pebble motion problems are typically mathematical or computational problems that involve simulating the movement of "pebbles" (or similar abstract objects) on a grid or within a defined space, based on specific rules. These problems often appear in areas like combinatorial optimization, game theory, or computer science, particularly in relation to graph theory or dynamic programming.
Polytope by Ciro Santilli 37 Updated +Created
A polygon is a 2-dimensional polytope, polyhedra is a 3-dimensional polytope.
Polyprotein by Ciro Santilli 37 Updated +Created
Popular Brazilian music musician by Ciro Santilli 37 Updated +Created
Population inversion by Ciro Santilli 37 Updated +Created
Planted clique by Wikipedia Bot 0
The "planted clique" problem is a well-known computational problem in the field of theoretical computer science, particularly in the study of random graphs and computational complexity. It is often used as a benchmark problem for assessing the performance of algorithms designed for detection and clustering in graphs.
Meiosis by Ciro Santilli 37 Updated +Created
The Steiner tree problem is an optimization problem in combinatorial optimization and graph theory. It involves finding the minimum-weight subgraph that connects a given set of points (called terminals) in a weighted graph. This subgraph may include additional points (called Steiner points) that are not in the original set of terminals, and these points can help reduce the overall length of the connecting tree.

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