Henry F. Schaefer III is a prominent American theoretical chemist known for his work in computational chemistry and molecular modeling. He has made significant contributions to the field of chemistry, particularly in the development of methods and software for predicting the properties and behaviors of molecules. Schaefer has held positions in academia, including a faculty role at the University of Georgia, where he has been influential in promoting research in quantum chemistry.
The Conference on Automated Deduction (CAD) is a scientific conference that focuses on research in the field of automated reasoning and formal methods. It provides a platform for researchers, practitioners, and students to present their work, share ideas, and discuss advancements in the area of automated deduction, which involves the use of algorithms and software to derive conclusions from premises using logical reasoning.
Michael B. Hall is not a widely recognized figure in popular culture or history based on my knowledge up to October 2023. It's possible that he could be a person involved in a specific industry, a local figure, or someone who has gained prominence after my last update. If you have more context about who Michael B. Hall is or what specific area you're referring to (such as sports, entertainment, academia, etc.
Raymond Daudel was a French physicist known for his contributions to various fields, including quantum mechanics and the foundations of physics. Born on December 18, 1921, he played a notable role in promoting science communication and education. Daudel was particularly interested in the philosophical implications of scientific theories and was involved in the development of educational materials to help illustrate complex scientific concepts.
Dis-unification is a concept in computer science, particularly in the realm of logic programming and computational theories related to unification. While unification typically involves finding a substitution that makes different logical expressions identical, dis-unification refers to the process of determining conditions under which two terms or expressions cannot be made equivalent through any substitution.
Logical depth is a concept introduced by computer scientist Charles H. Bennett in the context of algorithmic information theory and computational complexity. It represents a measure of the complexity of a string or a piece of information based on the amount of computational effort needed to produce it from a simpler description. In more formal terms, logical depth is defined as follows: 1. **Compression**: A string or object can often be represented more compactly by some form of algorithm or Turing machine.
The term "padding" can refer to several concepts across different fields such as programming, networking, and data processing. Below are a few common uses of "padding" in various contexts: 1. **Data Structures and Memory Alignment**: In computer programming, padding often refers to adding extra bytes to data structures to ensure that they align with the memory boundaries required by the architecture. This can improve access speed but may lead to increased memory usage.
The Transdichotomous model is a theoretical framework in the field of psychometrics and behavioral science that aims to explain the relationships between different types of variables, particularly how they interact across different contexts. This model is particularly useful in understanding and analyzing data that may not fit neatly into traditional dichotomous (binary) classifications, such as "success/failure" or "yes/no.
David E. Goldberg is a prominent figure in the field of evolutionary computation and genetic algorithms. He is known for his research and contributions to the development of genetic algorithms, a subset of artificial intelligence that mimics the process of natural selection to solve optimization problems. Goldberg has authored several influential publications and has played a role in advancing the understanding and application of evolutionary strategies in various domains, including engineering, computer science, and optimization.
Hisao Yamada may refer to a couple of different individuals depending on the context, as it is a relatively common name in Japan. One notable figure is a Japanese actor whose career has included various roles in television series, films, and theater. If you have a specific Hisao Yamada in mind, such as a particular field (like entertainment, sports, academia, etc.
Manindra Agrawal is an Indian computer scientist known for his significant contributions to the fields of theoretical computer science and algorithms. He is particularly recognized for his work in number theory and computational complexity. Agrawal is one of the co-inventors of the AKS primality test, which is a groundbreaking algorithm that determines whether a number is prime in polynomial time.
Peter Shor is an American mathematician and computer scientist, best known for his groundbreaking work in the field of quantum computing. He gained prominence for developing Shor's algorithm in 1994, which is an efficient quantum algorithm for factoring large integers. This algorithm demonstrated that quantum computers could solve certain problems much more quickly than classical computers, specifically, it showed that factoring integers (a problem that is fundamental to the security of many cryptographic systems) could be done in polynomial time on a quantum computer.
Michael Mitzenmacher is a prominent computer scientist known for his work in the areas of algorithms, randomness in computing, and theoretical computer science. He is a professor at Harvard University, where he has made significant contributions to the fields of computer science and engineering. His research often focuses on topics such as algorithms for data structures, probabilistic analysis, and network theory. Mitzenmacher is also known for co-authoring the book "Randomized Algorithms," which is widely used in computer science education.
Michael Saks is a mathematician known for his contributions to computational complexity theory, a field that explores the resources required to solve problems using algorithms. He has worked on topics such as the complexity of Boolean functions, lower bounds, and the theoretical underpinnings of various computational models. Saks has published numerous research papers and has had a significant influence in the area of theoretical computer science.
Miklós Ajtai is a Hungarian-born computer scientist, recognized for his contributions to theoretical computer science, particularly in the areas of computational complexity and algorithms. He is best known for his work on the Ajtai–Komlós–Szemerédi (AKS) sorting algorithm, which is notable for its probabilistic approach to sorting. Miklós Ajtai has also made significant contributions to the fields of logic and proof systems.
Moni Naor is a prominent computer scientist, known for his contributions to various fields within cryptography and computer security. He has worked on topics including secure protocols, blockchain technology, and privacy in computing. Naor is often cited for his work on theoretical aspects of cryptography, as well as practical implementations and their implications for security systems.
Nicole Immorlica is a notable researcher in the field of computer science, particularly known for her work in game theory, algorithm design, and mechanisms in economics. She has made significant contributions to understanding strategic interactions in computational settings. Immorlica has published various papers on topics such as algorithmic game theory, mechanism design, and market design, and has been involved in academic and public discussions related to these subjects.
Sofya Raskhodnikova, often known simply as Sofya or Sonya, is a character from Fyodor Dostoevsky's novel "Crime and Punishment." She is portrayed as the hardworking and self-sacrificing daughter of a struggling family, who turns to prostitution to support her family. Sonya represents themes of redemption, compassion, and the struggle between good and evil throughout the novel.
Subhash Kak is an Indian-American professor known for his work in the fields of computer science, physics, and cryptography. He is also recognized for his contributions to the philosophy of science, and he has written extensively on topics related to ancient Indian science and mathematics, the history of science, and the intersections between science and spirituality.
A nomogram is a graphical calculating device, a two-dimensional diagram designed to allow the approximate graphical computation of a mathematical function. It consists of a series of scales that represent different variables. By aligning a ruler or a straight edge across the scales, users can visually calculate the values of various parameters, often in fields such as medicine, engineering, and statistics.

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