NGC 2467 is a bright nebula located in the constellation Puppis, which is part of the larger Carina-Sco region of the Milky Way. It is often referred to as the "Sailor's Nebula" due to its shape resembling that of a ship's sail. NGC 2467 is an emission nebula, which means it emits light due to the ionization of gas and dust by the ultraviolet radiation from nearby hot stars.
NGC 3603 is a bright, compact cluster of stars located in the constellation Carina. It is known as a star-forming region and is situated about 20,000 light-years away from Earth. NGC 3603 is notable for its dense concentration of young, massive stars, and it contains one of the most luminous clusters of stars in our Milky Way galaxy.
Claire Mathieu is a prominent French computer scientist known for her contributions to algorithms, combinatorial optimization, and theoretical computer science. She has worked on various topics, including graph theory, approximation algorithms, and algorithmic game theory. Mathieu has authored numerous research papers and has been recognized in her field for her work on efficient algorithms and computational complexity.
Dana Randall is a well-known professor and researcher in the field of computer science, particularly noted for her work in theoretical computer science, including algorithm design, combinatorial optimization, and probabilistic methods. She has contributed significantly to various areas, including computational biology and the study of random processes.
David Zuckerman is a prominent computer scientist known for his work in complexity theory, randomness in computation, and combinatorial algorithms. He has made significant contributions to the fields of theoretical computer science, particularly in areas such as pseudorandomness, interactive proofs, and cryptography. Zuckerman is particularly noted for his work on the construction of pseudorandom generators, which are algorithms that can generate sequences of numbers that appear random but are generated deterministically.
Edith Cohen is a prominent figure in the field of computer science, particularly known for her contributions to algorithm design and analysis, optimization, and data structure. She has made significant advancements in various areas, including network design and resource allocation.
Franco P. Preparata is a notable figure in the field of computer science, particularly known for his contributions to computational geometry and algorithms. He is recognized for his work on various algorithmic problems, including those involving geometric data structures, intersection problems, and more. Preparata is also known for co-authoring the influential textbook "Computational Geometry: Algorithms and Applications," which has been widely used in both academic and practical contexts.
Ian Munro is a prominent computer scientist known for his contributions to the fields of computational theory, data structures, and algorithms. He is particularly recognized for his work in the design and analysis of algorithms, as well as for developing efficient data structures that support fast retrieval and manipulation of data. Munro has made significant contributions to various topics, including searching algorithms, complexity theory, and online algorithms. He is also known for his collaborative research efforts and has published numerous papers in prestigious academic journals and conferences.
Jan van Leeuwen (1632–1723) was a Dutch scientist and inventor, best known for his pioneering work in microscopy. He is often referred to as the "Father of Microbiology" due to his significant contributions to the field through his development of the microscope and his observations of microorganisms. Van Leeuwenhoek crafted high-quality lenses that allowed him to magnify objects up to 300 times their size.
Juhani Karhumäki is a mathematician known for his contributions to the fields of automata theory, formal languages, and discrete mathematics. He has been involved in research related to the mathematical aspects of computer science, particularly in the study of computational models and structures.
Katrina Ligett is a prominent researcher in the field of computer science, particularly known for her work in algorithms, privacy, and machine learning. She has made significant contributions to topics such as differential privacy, which is a framework for ensuring that the privacy of individuals in a dataset is maintained while still allowing for useful data analysis. Her work addresses the challenges of designing algorithms that can provide accurate results while protecting sensitive information.
Larry Stockmeyer is known for his contributions in the field of computer science, particularly in theoretical computer science and algorithms. He is well-regarded for his work on the complexity of algorithms, as well as in areas such as computational geometry and formal languages. One of his notable contributions is the "Stockmeyer complexity class," related to the problem of determining whether a given Boolean formula is satisfiable. However, he might not be as well-known in popular culture or mainstream discussions outside of academic contexts.
Leslie Ann Goldberg is a prominent computer scientist known for her contributions to the fields of theoretical computer science and algorithms. She has made significant advancements in areas such as randomized algorithms, approximation algorithms, and graph theory. Goldberg is also recognized for her work on algorithmic aspects of social networks, computational biology, and network design. In addition to her research, she has held academic positions at institutions like the University of Oxford and has authored numerous papers in her field.
Lov Grover is a computer scientist known for his work in quantum computing and algorithms. He is best known for developing Grover's algorithm, which is a quantum algorithm that provides a significant speedup for searching unsorted databases. Specifically, Grover's algorithm can search an unsorted database of \( N \) items in approximately \( \sqrt{N} \) time, compared to classical algorithms, which require \( O(N) \) time to search through the same database.
Martin Dyer is a prominent figure in the field of computer science, particularly known for his work in artificial intelligence, optimization, and machine learning. He has made significant contributions to various areas, including constraint satisfaction problems and algorithms for combinatorial optimization. His research often intersects with practical applications in areas such as operations research and decision-making processes.
As of my last knowledge update in October 2023, Michal Parnas does not appear to be a widely recognized public figure, concept, or term. It's possible that the name might refer to a private individual or a lesser-known topic that has not gained significant prominence in popular culture or academia. If you can provide more context or specify the area related to Michal Parnas (e.g., arts, science, literature, etc.
Mikhail Atallah may refer to different individuals or contexts, as names can be common. If you're referring to a specific person or field, please provide more context. For instance, Mikhail Atallah might be related to technology, academia, or another profession.
Narendra Karmarkar is an Indian mathematician and computer scientist, known for his contributions to optimization and algorithm design. He is best known for developing Karmarkar's algorithm in 1984, which is a polynomial-time algorithm for linear programming. This was a significant advancement in the field of optimization as it provided a more efficient way to solve linear programming problems compared to earlier methods like the Simplex algorithm.
Paritosh Pandya is not a widely recognized public figure or topic based on the information available up to October 2023. It's possible that he may be a private individual, a local personality, or someone who has gained attention after that date.
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!
Intro to OurBigBook
. Source. We have two killer features:
- 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-calculusArticles 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/derivativeVideo 2. OurBigBook Web topics demo. Source. - 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.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
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. - Infinitely deep tables of contents:
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





