## Central limit theorem: phones go on sale on Black Friday and there are 100 customers online to buy them. If the random number

225 iPhones go on sale on Black Friday and 100 customers are online to buy them. If the random number of iPhones that each customer wants to buy is distributed in Poisson with average 2, is the probability that the 100 customers get the desired amount of iPhones approximated?

I have an attempt $${225-200} / 200 / underroot (100)$$= 1.25 but I know that the probability cannot be greater than one. so this worn out can someone correct me.

## views: show related content per taxonomy term and limit a maximum of 2 content links per taxonomy term

I can display related content by taxonomy terms labeled on that particular node. The next function I am looking for is to be able to limit a maximum of 2 links for each taxonomy term.

Ex. Node 1 has terms 1. red 2. blue

I want to show 2 links for the term red and 2 for blue instead of showing all the content labeled in red and blue.

## turing machines: a downward push robot with two piles that is equivalent to a linear limit automaton

It is known that a PDA with two batteries is equivalent to a TM.

On the other hand, a PDA with a stack is capable of recognizing only context-free languages.

Therefore, there is a kind of gap between the PDA class with a battery and the PDA class with two batteries that must be able to recognize only context sensitive Languages

I feel that it should already be a question examined, but I could not find an answer: what restrictions should we apply to a PDA with two batteries to be equivalent to a linear limit automaton?

## reference request – Compactness motto: approximate sequence in the X space and the limit not in the same space

Often, when we try to solve some PDE problem, we first build a sequence of approximate solutions. To construct an exact solution, we need to show that a sequence (or at least some subsequence) of approximate solutions has a limit and that that limit is an exact solution of an original PDE problem. And sometimes to show that we have a convergent subsequence, we use a little lemma compactness. I will try to explain my question about the example. Let's say we have two problems with Cauchy:

$$(1) hspace {0.5cm} u_t (x, t) + div (u (x, t)) = l cdot g (u)$$
$$(2) hspace {0.5cm} u (x, 0) = u ^ l_0 (x),$$

Y

$$(3) hspace {0.5cm} u_t (x, t) + div (u (x, t)) = 0$$
$$(4) hspace {0.5cm} u (x, 0) = u_0 (x),$$

where $$x in A subseteq mathbb {R} ^ d, d geq 1$$, $$t in [0,T]$$, $$u in mathbb {R} ^ n, n geq 1$$ and g is a source term.

Think of $$(1) – (2)$$ from the approximate problem that has solid solutions in the sense of PDE in some Banach space $$X$$. The case that interests me the most is $$X equiv H ^ m$$ where $$m> frac {d} {2}$$ (Sobolev $$L ^ 2$$-type of space). And think about $$(3) – (4)$$ As an original problem we are trying to solve it. by $$(3) – (4)$$ We know that you have solutions in space. $$Y$$ Y $$Y neq X$$.

I would like to know two things:

1. Is it possible, using a little compact slogan (Helly & # 39; s, Rellich, Aubin-Lions, …) to show that, when $$l rightarrow 0$$solution of $$(1) – (2)$$ converges to the solution of $$(3) – (4)$$? And how compact would the motto be?
Most of the lemmas I know usually have the approximate solution in space. $$X$$ And the original solution in the same space.

2. Would this problem be easier or not if the problem approximated? $$(1) – (2)$$ It has solid solutions in the sense of PDE, and the original problem. $$(3) – (4)$$ Do you have weak solutions in the sense of PDE?

Your thoughts would be great. And if anyone knows any reference in the literature that deals with this type of problem, write it down. Thanks for the help.

## heroku: What is the maximum request limit for the \$ 10 / month plan (Leopard Shared)?

I need to know the current limits of JAWSDB, because I need to host my website (with WordPress) in Heroku due to the flexibility it offers from development to production environments.

Free plans offer a maximum limit of 3600 requests per hour (with PhpMyAdmin + WordPress is easily exceeded).

So I need to know the limits of the next plan, thank you!

At what point during your support of a hosting client, you stop and say "Ok, then the problem is not in our things, but your computer has a problem and this is the problem and how to fix it. If you want to fix it, it will cost us \$ XX "or they will even tell us that they need to talk with a computer technician or with MS or with the developer of the software they are using.

I often find myself doing hours of free problem solving on a client's computer when he has a problem that has nothing to do with our service. At the moment I mention the load, the client always returns with "No, this must be covered with the hosting support".

At what point do you start charging?

How to obtain the cellular adjacency graph of a mesh? There are some great answers that show how to get the cell adjacency matrix of a mesh. How could these be generalized to incorporate cell orientations? I mean, I want to calculate the limit operators, $$partial_i: C_i (M) a C_ {i-1} (M)$$ in the mesh shown, for example, if you want to calculate the simplicial homology …

I've been pretty stuck even getting the induced orientation of the edges and vertices

## np: can I calculate the time to find the optimal problem of the travel seller with a super computer and can I know what is the city limit for computers now?

I want to know the real limit of our computing power that we have now
What is the limit of cities that I can reach with an optimal sun?
I think the first computer is 10 ^ 19 process in second

Y
Can I calculate the time it will take looking at the connections of the directed graph?
And I gave the time for this power 10 ^ 19.

How can I edit the real graph of the problem and delete the cities from it?

## Is there any way to increase the limit of applications in the Recent Screen in Android Nougat?

I find it very annoying that Android Nougat limits the number of recent applications available in the Recent Screen. On my device, this limit is only 5 applications, which is too small. There are lock buttons in applications, but even locking does not prevent the system from deleting the application from the list. This seems very inconsistent and offensive.

So, my questions are: is it possible to increase the limit (I do not think this number is coded)? Is this limit the same for all nougat devices? What is the reason to provide a lock button only for the list of 5 applications?

## dg.differential geometry – limit of functions \$ C ^ k \$ uniformly delimited in a compact variety of kahler

Leave $$M$$ be a compact kahler collector, we have the notion of a $$C ^ k$$ works on $$M$$. Then we can define the kth Holder standard for $$C ^ k$$ It works in the following way:

$$| f | _ {C ^ k} = sum_ {p + q leq k, 0 leq p leq q} sup_ {x in M} | nabla ^ p overline { nabla ^ q} f | _g$$

I want to show that if $$f_n$$ it is a sequence of uniformly $$C ^ { infty}$$ delimited$$C ^ k$$ limited by any $$k$$) soft functions that converge to $$f$$ in $$C ^ k$$, so $$f$$ it's soft.

First unroll the definition a bit:
$$nabla ^ p overline { nabla ^ q} f$$ it's just a form (p, q), so locally we have that $$nabla ^ p overline { nabla ^ q} f = nabla _ { frac { partial} { partial z_ {i_1}}} ldots nabla _ { frac { partial} { partial z_ {i_p}}} nabla _ { frac { partial} { partial bar z_ {j_1}}} ldots nabla _ { frac { partial} { partial bar z_ {j_q}}} f dz_ {i_1} ldots dz_ {i_p} ldots d bar z_ {j_1} ldots d bar z_ {j_q}$$. Then, compare with the actual analysis of a usual dimension, the affirmation would be what we expect. However, how should it be demonstrated in such a configuration? Is there any reference?