Endre Szemerédi is a Hungarian mathematician known for his significant contributions to combinatorics, theoretical computer science, and number theory. Born on August 21, 1939, Szemerédi is particularly famous for Szemerédi's theorem, which addresses the existence of arithmetic progressions within subsets of integers. His work has had a profound impact on various fields, including discrete mathematics and the theory of algorithms.
Faith Ellen is a name that might refer to multiple individuals, but it is most commonly associated with a computer scientist and academic, particularly known for her contributions in the field of computer science and algorithms. She has worked on various topics, including data structures, computational geometry, and algorithm design.
Lawrence J. Fogel is an American scientist and entrepreneur known for his work in the fields of artificial intelligence, machine learning, and genetic algorithms. He has contributed significantly to the development of computational models and applications that utilize evolutionary principles to solve complex problems. Fogel is the founder of the company Natural Selection, Inc., which focuses on applying these algorithms in various domains. Additionally, he has authored and edited several influential books and papers on genetic algorithms and their applications in AI.
Michael A. Harrison is a name that could refer to various individuals, and without specific context, it's difficult to identify which person you are referring to. There might be professionals in different fields such as academia, business, or the arts with that name. If you can provide more context or specify the field or area of interest related to Michael A.
Michael Fellows is a well-known computer scientist recognized for his contributions to the fields of computational complexity theory and algorithms. He has worked on various aspects of parameterized complexity and has made significant contributions to understanding fixed-parameter tractability and the development of efficient algorithms for NP-hard problems. Fellows is also known for his role in computer science education and has authored or co-authored numerous research papers, influencing both theoretical and practical aspects of the field.
Monika Henzinger is a prominent computer scientist known for her work in theoretical computer science, algorithms, and web-search technologies. She has made significant contributions to areas such as algorithm design, graph algorithms, and the analysis of algorithms. Henzinger has held various academic positions and has been involved in research institutions and universities. Additionally, she has served in leadership roles within the academic community and has been an advocate for diversity in computer science.
Nati Linial is an Israeli computer scientist known for his contributions to the fields of theoretical computer science, combinatorics, and graph theory. He is a professor at the Hebrew University of Jerusalem. Linial's research includes topics such as the complexity of computational problems, randomness in computation, and properties of various graph structures. In addition to his academic work, he has contributed to the development of algorithms and has been involved in various teaching and mentoring activities within the field.
Naum Z. Shor is a prominent mathematician known for his contributions to various fields, including optimization, control theory, and numerical analysis. He is perhaps best known for Shor's algorithm, which is a quantum algorithm for factoring large integers efficiently, significant for its implications in cryptography. Additionally, he has made important contributions to the development of methods for solving optimization problems, particularly in the context of convex optimization and its applications in engineering and computer science.
As of my last update in October 2023, there is no widely known public figure, event, or concept named "Nicole Megow." It's possible that she is a private individual or that the name has gained prominence after my last training data.
The term "storage effect" can refer to different concepts depending on the context in which it is used. Here are a couple of contexts that may apply: 1. **In Economics/Finance**: The storage effect can relate to how the storage of goods, such as commodities, affects their market prices. For example, if a commodity is stored instead of sold immediately, the supply in the market decreases, potentially driving up prices.
Rod Downey is a prominent figure in the fields of mathematical logic and computability theory. He is known for his contributions to the study of computably enumerable sets and related areas. Downey has co-authored several research papers and books on these topics, and he is recognized for his work on the structure and properties of various mathematical constructs in the area of logic.
S. Muthukrishnan is a prominent computer scientist known for his contributions in the fields of algorithms, data structures, and data mining. He has made significant advances in areas such as streaming algorithms, online algorithms, and combinatorial optimization. Muthukrishnan is often recognized for his work on algorithm efficiency and the development of techniques that allow for processing large data sets in real time, which is essential in today's data-driven environments.
S. Rao Kosaraju is an Indian computer scientist renowned for his contributions to algorithms and theoretical computer science, particularly in the field of graph algorithms. He is best known for developing the Kosaraju's algorithm, which efficiently finds strongly connected components in a directed graph. This algorithm operates in linear time, making it one of the fundamental techniques used in graph theory and related applications. Kosaraju's work has had a significant impact on both academic research and practical applications in computer science.
Virginia Vassilevska Williams is a prominent computer scientist known for her work in the field of algorithms, particularly in relation to complexity theory and matrix multiplication. She is a professor at the University of Washington and has made significant contributions to understanding computational problems and developing efficient algorithms to solve them. One of her key achievements is her work on improving the efficiency of algorithms for matrix multiplication.
Santosh Vempala is a well-known computer scientist, particularly recognized for his contributions to the fields of algorithms, machine learning, and optimization. He is a professor at the Georgia Institute of Technology and has made significant advancements in various areas, including graph theory, randomized algorithms, and optimization techniques. His research often focuses on theoretical aspects of algorithms, and he has been involved in developing efficient algorithms for complex problems.
Seymour Ginsburg is not widely recognized as a prominent public figure or character, so there may not be specific information readily available about him. It's possible that he could be a private individual or a lesser-known person in a specialized field.
Shai Halevi is a prominent cryptographer known for his contributions to the field of cryptography, particularly in areas like homomorphic encryption, secure multiparty computation, and cryptographic protocols. He has worked on various foundational concepts and has published numerous papers addressing different aspects of secure computation and privacy-preserving technologies. Halevi is affiliated with organizations such as the IBM Thomas J. Watson Research Center, where he has been involved in research and development efforts in cryptography.
Sheila Greibach is a prominent figure in the field of computer science, particularly known for her contributions to formal languages and automata theory. She has been recognized for her work in the area of grammars, specifically in relation to context-free grammars and their applications in computational linguistics and programming language design. Greibach is also known for the Greibach normal form, which is a specific way of representing context-free grammars.
As of my last update, there is no widely recognized figure or concept known as "Shmuel Zaks." It could potentially refer to a private individual, an emerging figure, or a topic that has gained prominence after my last update.
Stephen Cook is a prominent computer scientist known for his foundational work in computational complexity theory. He is best known for formulating the concept of NP-completeness in 1971, which provides a framework for understanding the inherent difficulty of computational problems. Cook's theorem demonstrates that the Boolean satisfiability problem (SAT) is NP-complete, meaning that if there is a polynomial-time algorithm for SAT, then there is a polynomial-time algorithm for all problems in the class NP.

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