This is interesting analysis, but I don't think it necessarily counteracts what the book is saying. To build state-affiliated housing also involved "clearing the pipes" as the article put it. Additionally, the Vienna…
One of my main takeaways from this article is that the author ADORES Umberto Eco. Which is understandable.
Pretty important asterisk concerning the privatization of the Japanese rail network: this privatization led to the closure of a lot of rural, unprofitable lines. IMO this would play out similarly for the USPS; it's not…
I was thinking of the data race case, and I was unaware of relaxed access used by other languages. Thanks for sharing!
I can see how multiple mutable references is fine in a single-threaded context, but surely this would cause UB in the multi-thread context?
I've been on my soapbox for a while that introductory machine learning courses should cover the basics of optimization. Even just basic KKT conditions could add a lot.
I'm a huge fan of Paul's, and his book Measurement is easily the most beautiful introduction to geometry out there. I appreciate his focus on how to maintain engagement with students who are predisposed to math, but I…
This is interesting analysis, but I don't think it necessarily counteracts what the book is saying. To build state-affiliated housing also involved "clearing the pipes" as the article put it. Additionally, the Vienna…
One of my main takeaways from this article is that the author ADORES Umberto Eco. Which is understandable.
Pretty important asterisk concerning the privatization of the Japanese rail network: this privatization led to the closure of a lot of rural, unprofitable lines. IMO this would play out similarly for the USPS; it's not…
I was thinking of the data race case, and I was unaware of relaxed access used by other languages. Thanks for sharing!
I can see how multiple mutable references is fine in a single-threaded context, but surely this would cause UB in the multi-thread context?
I've been on my soapbox for a while that introductory machine learning courses should cover the basics of optimization. Even just basic KKT conditions could add a lot.
I'm a huge fan of Paul's, and his book Measurement is easily the most beautiful introduction to geometry out there. I appreciate his focus on how to maintain engagement with students who are predisposed to math, but I…