Michael Garey is a notable figure in the field of computer science, particularly known for his contributions to algorithms and graph theory. He has co-authored several influential works and research papers, including key texts on algorithm design and analysis.
Michael Fredman is a noted computer scientist, primarily recognized for his contributions to data structures, algorithms, and computational geometry. He has worked on various topics in theoretical computer science and has made significant contributions that have influenced the development of efficient algorithms and data structures. Some of his work includes the development of advanced data structures, such as those for dynamic sets and search problems.
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.
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 A. Bender is a notable figure in the field of political science and political behavior, primarily recognized for his work on electoral processes, political parties, and voter behavior.
Maxime Crochemore is a prominent French computer scientist known for his contributions to algorithms and data structures, particularly in the fields of string processing and computational biology. He has co-authored several influential works and research papers that address various problems related to string matching, text algorithms, and related computational challenges. Crochemore's work has also been applied in areas such as data compression and pattern recognition. In addition to his research, he may be involved in teaching and mentoring within academic settings.
Mary Wootters is a multi-disciplinary artist and educator based in New York City. She is known for her work in various mediums, including sculpture, painting, and installation art. Her practice often explores themes such as identity, memory, and the human experience, frequently utilizing found objects and unconventional materials to challenge traditional artistic boundaries. In addition to her artistic work, Wootters has been involved in teaching and mentoring emerging artists, sharing her expertise and fostering creativity in others.
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.
Mark Jerrum is a notable figure in the field of computer science, particularly known for his work in computational complexity theory, algorithm design, and related areas. He has made significant contributions to understanding the complexity of various computational problems, as well as developing algorithms for specific tasks, particularly those involving counting problems and combinatorial structures. Jerrum is also recognized for his work related to the complexity classes concerning probabilistic and approximation algorithms.
Mario Szegedy is a prominent computer scientist known for his contributions to theoretical computer science, particularly in the areas of computational complexity theory and algorithms. He is recognized for his work in various fields, including property testing, quantum computing, and the study of communication complexity. He is also known for his role in developing the Szegedy-Logemann's graph-based techniques and has made significant contributions to research on randomization and its applications in computer science.
Marilyn Walker is a prominent figure in the field of artificial intelligence, particularly known for her work in natural language processing, dialogue systems, and computational linguistics. She has contributed to research on how machines can understand and generate human language, particularly in interactive and conversational contexts. In academia, she has held positions at universities and has published numerous research papers and articles on topics related to AI and language technology.
Marek Karpinski is a name that could refer to various individuals, depending on the context. However, without additional context, it is difficult to identify a specific person or relevance.
Manuel Blum is a renowned computer scientist, best known for his contributions to computational complexity theory and algorithms. Born on April 26, 1938, in Brazil, Blum has had a significant impact on the field of computer science, particularly through his work on complexity classes and cryptography. He is famous for developing the Blum-Blum-Shub pseudorandom number generator and for his work on the theory of NP-completeness.
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.
Madhu Sudan is likely referring to a prominent Indian computer scientist known for his contributions to theoretical computer science, particularly in the areas of coding theory, complexity theory, and algorithms. He is recognized for his work on error-correcting codes, particularly the development of probabilistically checkable proofs (PCP), which has had a significant impact on computational complexity.
Maarten van Emden is a Dutch politician and member of the People's Party for Freedom and Democracy (Volkspartij voor Vrijheid en Democratie, VVD). He has served in various capacities within the party and has been involved in Dutch politics, particularly focusing on issues related to socio-economic policy, public administration, and digitalization.
László Babai is a Hungarian mathematician and computer scientist known for his contributions to the fields of combinatorics, group theory, and the theory of algorithms. He is particularly recognized for his work on the complexity of problems in algebra and for developing algorithms that solve certain computational problems more efficiently than previously possible.
Luca Trevisan is a prominent researcher in the field of computer science, particularly known for his work in theoretical computer science, including algorithms, complexity theory, and quantum computing. He has contributed to various areas such as hardness of approximation, cryptography, and quantum algorithms. His research often intersects with mathematical approaches to computer science problems.
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.
Li Huatian does not parece to be a widely recognized term or concept as of my last knowledge update in October 2023. It might refer to a person, place, or specific term that is not commonly known or documented.

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 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