It's common problem that we get some error like "abc.h no such file" when compile source. Only way to find the solution(as i know) is search in internet. What i need to do, compile the source, it will give me some errors and then i have to install the dev by searching in internet.  Is there any way that i can get lib package name by the header file name? Assume i need crypto.h file, libssl-dev contains this file.   But how could i know? Where should i search for it? Is there any reference site or program?
I often find myself wanting to install something, but I'm unsure of what package it's in. This is a very common occurrence for me:  $ make html sphinx-build -b djangohtml -d _build/doctrees   . _build/html make: sphinx-build: Command not found make: *** [html] Error 127  $ sudo apt-get install sphinx E: Unable to locate package sphinx  $ sudo apt-get install sphinx-build E: Unable to locate package sphinx-build   googles  $ sudo apt-get install python-sphinx   Is there a better way?
Wired connection not working Ubuntu 12.04 Fractional Scaling 18.04 LTS (1)  If $E$ is a subset of $\mathbb R$ with finite outer measure, i.e. $m^{*}(E) &lt;\infty$; and   (2) $E$ is not Lebesgue measurable, i.e. there exists $F$ such that  $m^{*} (F) &lt; m^{*}(EF) + m^{*}(FE^{c}).$  [Claim] There exists an open set $O\supset E$ with finite outer measure, such  that   $$m^{*}(O E^{c})  &gt; m^{*} (O)  - m^{*} (E).$$  My  questions are the following.  (1) Is the above claim correct? I've seen this in Royden's book, but have a bit concern. Note that a set $E$ is Leb measurable if  it satisfies caratheodory condition: $m^{*} (F) = m^{*}(EF) + m^{*}(FE^{c})$ for  all subset $F$. If the claim is yes, it seems that measurability condition can  be reduced from all subset $F$ to Borel set $F$.  (2) If the claim is correct, a proof is needed. How can I go back to the original interface layout? I don't know what the hell I did I just want to get back to modelling Can I vent my dryer into the crawl space without creating mold and moisture problems? We have a crawl space with a combination of sandy and clay soil in it.  The crawl space is about 3' deep.  To eliminate a long dryer vent run, I'd like to vent the dryer directly into the crawl space.  We have vents built into the foundation that I open each spring and close in the fall.  Will this help dissipate the moisture enough to prevent mold? I have a LaTeX editing environment that does some assistive stuff such as auto-indenting, closing parentheses, etc.  However, one of the things that it does is unknown to me, and is difficult to search for. If I type an empty set of braces, it replaces them with  {}&lt;++&gt;   If I type two empty sets, for example when I'm setting up a fraction \frac{}{} what I actually get is  \frac\left\{ } \right\}&lt;++&gt;}&lt;++&gt;   Is this a problem? What does &lt;++&gt; do?  Edit: This is using Is the following just a matter of showing the 3 properties that make up a metric??  Define d on $\Bbb R\times\Bbb R$ by $d(x,y)=\min \{1,|x-y|\}$. Show that $d$ is a metric on $\Bbb R$     $d(x,y)=0$ if $x=y$   $d(x,y)=d(y,x)$ for every $x,y \in X$   $d(x,y)\le d(x,z)+d(z,y)$ for every $x,y,z \in X$ Number of solutions of $x_1+2x_2+\cdots+kx_k=n$? Multivariate polynomial with no mixed terms Is there a LaTeX/TeX preprocessor/inliner that replaces only selected macros with their definitions? Why does $\log(n!)$ and $\log(n^n)$ have the same big-O complexity? In an example that I found, it is said that $\log(n!)$ has the same big-O complexity as $\log(n^n)$. Please explain why this is the case. Nautilus not generating thumbnails in 13.10 Calculating $\lim_{x\to0} \left\lfloor\frac{x^2}{\sin x \tan x}\right\rfloor$ How to plot logistic regression decision boundary? What happened to the idea of getting inbox notifications for favorited questions? Reset Windows 10 from USB This is a follow-up to this question:   Hans Bethe wrote a paper in 1944, "Theory of Diffraction by Small Holes," Phys. Rev. 66, 163. I don't have access to the paper, but from descriptions online it sounds like he proved the following. Suppose a plane wave impinges on an absorbing sheet, and there is a hole in the sheet of diameter $d$, with $d&lt;\lambda$. Let $P_0$ be the power incident on the hole, and $P$ the power diffracted through the hole. Then the transmission is $T=P/P_0=(d/\lambda)^4$.  As a practical application, I think this explains why microwaves don't leak strongly through the metal grille in the front of a microwave oven.  Questions:   Does the thickness of the sheet matter? From references online, it sounds like the hole is treated as a waveguide...? This seems to relate to cutoff frequencies of waveguides, etc.? It seems to me that Huygens' principle would give $T=1$ for $d\ll\lambda$, since in this limit the wavelets are in phase. Why is Huygens' principle invalid here? Is this related to question #1? Is there a simple argument for the proportionality to $(d/\lambda)^4$? Or if not, how does one prove this using the gory details of Bessel functions, etc.? How to clean an E: drive (new Recovery drive since Windows 10 1803) on HP laptop "Everything is a file" in the UNIX World.  Above sentence is famous. When I run echo "hello programmer" &gt;&gt; /dev/tty1 , I can watch the given string on TeleType 1  , ....  What and where is file per each socket? Suppose my friend connects to my PC, and its IP is h.h.h.h , how can I access the respective file? Is it possible? Determine if $.ajax error is a timeout