First two drawings programmed by myself for master’s thesis with TikZ:
Nothing much but still proud of myself…
Šodiena TeX pasaulē saistās ar trīs atklājumiem:
atliek tikai ielikt *.dic un *.aff (vai arī tikai *.dic -nezinu īsti- ieliku abus) failus šajā direktorijā:
C:\Users\<Username>\.texlive2009\texmf-config\texworks\dictionaries (vismaz uz Win7 man tāda parādījās);
Un pie spellchekers var pārbaudīt kas un kā.
Diemžēl tā arī nesāku strādāt ar TeXmaker, kas sākotnēji izskatījās visai potenciāls, bet beigās nepierādīja sevi cīņā ar dažādiem encodingiem un eps bilžu ielikšanu. Varbūt, ka došu tam vēl vienu iespēju kaut kad vēlāk….
Today I understood, that distribution type desn’t change if linear transformation is done to data.
For example, if we take some bunch of data D, that is uniformly distributed in interval [-PI , PI], afterwards we are calculating other data D1(i)=5-2*D(i);
What will be the distribution? well It’s logical, but it wasn’t obvious for me (I guess I needed to pay more attention in my class of statistics). It will be uniform with interval [5-2*(-PI),5-2*(PI)]=>~[11.2832, -1.2832]=>[-1.2832,11.2832]=>~[-1.3,11.3]. We can se, that distribution stand still. It may be mirrored if coefficient of multiplication is negative (in our case -2).
Example(in MATLAB):
It’s nice to understand pointers and Regular Expressions…
I: Understanding file pointers:
Elapsed time is 273.039517 seconds. ->Elapsed time is 0.035172 seconds. (140 MB text file)
II: Understanding RegEx
Elapsed time is {too much- i stopped after 1min} seconds.->Elapsed time is 1.956197 seconds. ->Elapsed time is 0.024666 seconds.(parsing one line of the same file)
Gain on RegEx isn’t very big, but it’s important, because unfortunately, although Regular Expressions is powerful tool in text parsing and analysis, they are slow. And if they are written ambiguously or wrong, it takes s***load lot of time to process.
Man te nedaudz par simulācijām vajadzēja paskatīties… šim džekam ir Java skills… viennozīmīgi!
Btw- tuvojas brīvdienas tas nozīmē, ka tuvojas arī kāds garāks raksts no manas puses…
pēdējā laika atklājums sinc(PI.f)=sin(PI.f)/(PI.f)
http://en.wikipedia.org/wiki/Sinus_cardinalis
viņu nākas bieži izmantot un redzēt, tādēļ vērts atcerēties..