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blog.paulhankin.net | ||
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accodeing.com
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| | | | | [AI summary] The article discusses the debate around whether CSS3 is Turing complete, focusing on Eli Fox-Epstein's implementation of a Rule 110 automaton using CSS and HTML. It explains the theoretical concepts of Turing completeness, the limitations of real-world implementations, and the implications of such a claim. The author concludes that CSS appears to be Turing complete, though the discussion highlights the complexities and controversies surrounding this assertion. | |
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blog.fredrb.com
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| | | | | Writing a Hash Table in Go Inspired by the recent post from Ben Hoyt, a recent refresher of Computer Science fundamentals and my journey on learning the Go programming language, I've implemented a hash table in Go. Hash Table is a great data structure, they are to Balanced Trees what linear time sorting is to comparison sorts. By not relying on the comparison model, they allow you go below the log n lower bound for searching provided by Balanced Trees. | |
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theartofmachinery.com
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| | | | | [AI summary] The article explains the theoretical limits of comparison-based sorting algorithms, proving that they require at least O(N log N) comparisons in the worst case and demonstrating how information theory supports this bound. | |
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extremal010101.wordpress.com
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| | | With Alexandros Eskenazis we posted a paper on arxiv "Learning low-degree functions from a logarithmic number of random queries" exponentially improving randomized query complexity for low degree functions. Perhaps a very basic question one asks in learning theory is as follows: there is an unknown function $latex f : \{-1,1\}^{n} \to \mathbb{R}$, and we are... | ||
