Yes, as far as I understand, canned meat was not so popular among civilians in the USSR before tushonka. And tushonka is usually referred specifically to canned stewed meat, not ham or vegetables.
Old tushonkka was tasty but many of those sold in stores now, especially the cheap ones, are not so tasty and good-quality.
It could be matching theory for outcome though. The unpopular opinion may still be wrong too. Russia was quite different in 1999, or better in 1992, to the point of joining NATO, and China was nowhere the threat of today, and it could be different reasons- not keeping NATO - which caused today's standup. So, basically, the situation seem to be more complex.
Yes. 100%. Chatgpt can't get drunk with you share personal experiences grill food for you or network with humans for you. At some point certain people have to choose to live a life otherwise why have one anyways.
I'm not sure it's the same kind of buffering. I would assume the "winning" strategy for the case when the known final demand is fixed is to maintain fixed the upstream orders, and buffer outcome, and for non-fixed final demand is to model that demand as good as possible and keep upstream orders accordingly to maintain outcome matching the demand model. Large penalties for buffering may make this approach not working, I guess...
As a society, US is in doubts now. Not only we've got hard to heal crack between political sides, we - additionally or as part of that - have distrust into our institutions, which aren't at a great form either. How can we improve our situation?
We do make some efforts - e. g. social science finds some practices of social networks are unhealthy, which we can use to correct. Do we improve fast enough? Can we use this new potent tool, AI, to help us out of some of our problems?
Maybe a good catalog - a lot of sciences started with taxonomy - of our problems may help. Good ways to talk to each other - I have some friends from the different side of political spectrum, and we learn to talk. More awareness about how our country, at its about-250 year of existence, actually works, should help.
As the OP discusses, the current state of the standard formally disallows it: the SI specifies that hertzes are only to be used for periodic phenomena, and becquerels only for radioactivity.
Sure. A reasonable model for incoming requests within a short window of time is as a "Poisson process", which means the expected number of incoming requests within any interval is proportional to the length of that interval.
The parameter of that distribution is the expected (aka average) rate. If the intervals are time intervals, then the proper units of the parameter are events/second
Hertz is fixed frequency. Say you poll x times in second with set intervals. It is not measurement of discreet events say packet arriving. Probably best just to leave hertz out unless it is something that is actually fixed rate. So just leave it unitless.
If you define frequency as the derivative of the phase with respect to time, then you also have an instantaneous frequency which (at least formally) also has Hz as unit - even though it does not necessarily describe some real periodicity.
To measure discrete events, I would prefer as unit "events per second" instead of Hz.
I only skimmed the article, but I think the idea is to use some variation on:
f(a,b,c,d,e) = the largest real solution x of the quintic equation x^5 + ax^4 + bx^3 + cx^2 + dx + e = 0
There's not a simple formula for this function (which is the basic point), but certainly it is a function: you feed it five real numbers as input, and it spits out one number as output. The proof that you can't generate this function using the single one given looks like some fairly routine Galois theory.
Whether this function is "considered elementary" depends on who you ask. Most people would not say this is elementary, but the author would like to redefine the term to include it, which would make the theorem not true anymore.
Why any of this would shake the foundations of computer engineering I do not know.
I've thought something like that, but I'm interested more in details of the argument.
As for why this could be important... we sometimes find new ways of solving old problems, when we formulate them in a different language. I remember how i was surprised to learn how representation of numbers as a tuple (ordered list of numbers), where each element is the remainder for mutually prime dividers - as many dividers as there are elements in the tuple - reduces the size of tables of division operation, and so the hardware which does the operation using thise tables may use significantly less memory. Here we might have some other interesting advantages.
But can you even express this function with the elementary operator symbols, exp, log, power and trig functions? It seems to me like no, you can't express "largest real solution" with those (and what's the intended result for complex inputs?)
At least eml can express the quintic itself, just like the above mentioned operators can
Author and EML are using different definitions of elementary functions, EML's definition being the school textbooks' one (polynomials, sin, exp, log, arcsin, arctan, closed under multiplication, division and composition). The author's definition I've never met before, it apparently includes some multi-valued functions, which are quite unusual.
> More generally, in modern mathematics, elementary functions comprise the set of functions previously enumerated, all algebraic functions (not often encountered by beginners), and all functions obtained by roots of a polynomial whose coefficients are elementary. [...] This list of elementary functions was originally set forth by Joseph Liouville in 1833.
I feel that saying that EML can't generate all the elementary functions because it can't express the solution of the quintic is like saying that NAND gates can't be the basis of modern computing because they can't be used to solve Turing's halting problem.
As is usual with these kinds of "structure theorems" (as they're often called), we need to precisely define what set of things we seek to express.
A function which solves a quintic is reasonably ordinary. We can readily compute it to arbitrary precision using any number of methods, just as we can do with square roots or cosines. Not just the quintic, but any polynomial with rational coefficients can be solved. But the solutions can't be expressed with a finite number of draws from a small repertoire of functions like {+, -, *, /}.
So the question is, does admitting a new function into our "repertoire" allow us to express new things? That's what a structure theorem might tell us.
The blog post is exploring this question: Does a repertoire of just the EML function, which has been shown by the original author to be able to express a great variety of functions (like + or cosine or ...) also allow us to express polynomial roots?
Well, it is still the case, even if not explicitly shown. Personally I think it almost boils down to school math, with some details around complex logarithms; the rest seems to be simpler.
The principal result is "all elementary functions can be represented by this function and constant 1". I'm not sure if this was known before. Applications are another matter, but I suspect interesting ones do exist.
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