Bruno Dupire by Wikipedia Bot 0
Bruno Dupire is a prominent figure in the field of quantitative finance, known for his significant contributions to the development of financial models, particularly in the area of option pricing and volatility modeling. He is widely recognized for his work on the local volatility model, which provides a framework for deriving prices of European-style options based on the underlying asset's volatility structure. Dupire is also noted for his role as a researcher and educator, having worked at various financial institutions and academic institutions.
Sergei Voloshin by Wikipedia Bot 0
Sergei Voloshin could refer to several individuals, as it is not an uncommon name. However, one notable figure is Sergei Voloshin, a Russian scientist known for his contributions in the field of science, particularly in the areas of physics or mathematics.
Symmetry-adapted perturbation theory (SAPT) is a quantum mechanical method used to analyze and calculate intermolecular interactions, particularly in the context of many-body systems. It combines elements of perturbation theory with the principles of symmetry, allowing for a more tractable treatment of the electronic interactions between molecules.
Winmostar by Wikipedia Bot 0
Winmostar is a software platform primarily used for simulation, modeling, and visualization in various engineering fields, particularly in the context of systems such as energy management, HVAC (heating, ventilation, and air conditioning), and other industrial applications. It allows users to create models that can simulate the behavior and performance of systems, making it useful for design, analysis, and optimization.
X-PLOR by Wikipedia Bot 0
X-PLOR is a software program primarily used for the analysis and interpretation of data in the field of crystallography, particularly in the determination of macromolecular structures using X-ray crystallography and nuclear magnetic resonance (NMR) spectroscopy. The software is particularly well-known in structural biology for its capabilities in model building, refinement, and visualization of molecular structures.
XMD by Wikipedia Bot 0
XMD can refer to several different things depending on the context: 1. **Financial Context**: XMD could refer to a financial product or asset, particularly in trading, but as of my last knowledge update in October 2023, it is not a widely recognized acronym in mainstream finance. 2. **Medical Context**: In medicine, XMD might refer to a specific procedure, diagnosis, or treatment, although this is not a common or standardized abbreviation.
Molecular knot by Wikipedia Bot 0
A molecular knot refers to a specific type of molecular structure in which a chain of atoms, typically composed of carbon or other elements, is intertwined in a way that forms a knot-like topology. These structures can be thought of as the molecular equivalent of traditional knots, and they can be created intentionally through chemical synthesis or can appear naturally in some biomolecules.
Isserlis' theorem by Wikipedia Bot 0
Isserlis' theorem, also known as the Isserlis-Wick theorem, is a fundamental result in probability theory and statistics, particularly in the context of Gaussian random variables. It provides a way to compute the expected value of products of even numbers of Gaussian random variables.
Kurtosis by Wikipedia Bot 0
Kurtosis is a statistical measure that describes the shape of a probability distribution's tails in relation to its overall shape, particularly focusing on the extreme values. It helps to quantify the "tailedness" or the presence of outliers in the data set.
L-moment by Wikipedia Bot 0
L-moments are a set of statistics that provide a way to summarize and describe the characteristics of a probability distribution, especially in the context of random variables. They are analogous to conventional moments (such as mean, variance, skewness, and kurtosis) but have several advantages, particularly in terms of robustness and applicability to both continuous and discrete distributions. The "L" in L-moments stands for "linear," indicating that they are based on linear combinations of the ordered data values.
The Generalized Method of Moments (GMM) is a statistical technique used primarily in econometrics to estimate parameters of models. GMM relies on the idea of using moment conditions derived from the theoretical model—specifically, the expectations of certain functions of the data and parameters that should hold true if the model is accurately specified.
The Method of Moments is a technique in probability theory and statistics used for estimating the parameters of a probability distribution by equating sample moments to theoretical moments derived from the distribution.
Moment measure by Wikipedia Bot 0
Moment measures are mathematical constructs used in various fields such as statistics, probability theory, physics, and engineering to describe the characteristics of a distribution or function. The term "moment" has different interpretations depending on the context, but it generally refers to a quantitative measure of shape characteristics of a distribution.
Skewness by Wikipedia Bot 0
Skewness is a statistical measure that describes the asymmetry of a distribution. It indicates the direction and degree of distortion from the symmetrical bell curve of a normal distribution. In essence, skewness quantifies how much the distribution leans to one side compared to the other. There are three types of skewness: 1. **Positive Skewness (Right Skewness)**: In this case, the tail on the right side of the distribution is longer or fatter than the left side.
David B. Hertz by Wikipedia Bot 0
David B. Hertz is a name that isn't universally recognized, and it might refer to different individuals in different contexts. However, if you are referring to a notable figure, David B. Hertz is known in the field of entrepreneurship and venture capital. He is recognized for his work in supporting and mentoring startups, as well as his involvement in innovative projects.
"Plaine & Easie Code" is a term that refers to a system of laws and governance that was proposed in the 17th century by the English jurist John Lilburne and his contemporaries, particularly during the period of the English Civil War. The idea behind "Plaine & Easie Code" was to create a legal framework that was simple, understandable, and accessible to all citizens, as opposed to the complex and often arcane laws that were prevalent at the time.
The term "Synthetic music mobile application format" isn't widely recognized as a specific standard or format in the music or software industries. However, it can be interpreted in a couple of ways: 1. **Synthetic Music Generation**: This could refer to applications that use algorithms or artificial intelligence to generate music synthetically. Such applications often utilize MIDI (Musical Instrument Digital Interface), audio synthesis, and sampling techniques to create music without traditional recording methods.
Medieval music manuscript sources refer to handwritten documents from the Middle Ages (approximately the 5th to the late 15th century) that contain musical notation, instructions, and sometimes lyrics. These manuscripts are critical for understanding the music of this period, as they provide evidence of the musical practices, styles, and traditions of medieval society.
Marshall Rosenbluth was a prominent American physicist known for his contributions to plasma physics and fusion energy research. Born on July 20, 1927, he made significant advancements in understanding the behavior of plasmas, which are ionized gases that are a critical component of fusion reactions. Rosenbluth's work extended to the development of theoretical models that explain the stability of plasmas and the conditions necessary for controlled nuclear fusion.
Nicholas Metropolis was a prominent American physicist and mathematician, best known for his contributions to the fields of quantum mechanics and computational physics. Born on February 7, 1915, and passing away on October 17, 2018, he played a significant role in the development of the field of statistical mechanics and made notable contributions to the Monte Carlo method, which is a computational technique used to model complex systems and processes.

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