an example: standard deviation formula converted to algorithm

the formula is:
D=sqrt{sum from{i=1}to{N}(x_{i}-bar x)^{2}over{N-1}}

the algorithm in sdlBasic (http://sdlbasic.sf.net) is

'- standard deviation
setdisplay(512,256,32,1):paper(0xFFFFFF):ink(0x000000):pen(0x000000):cls
   n=50
   dim x[n]
while 0=0
prints("Standard Deviation"):prints("")
prints("OpenOffice formula format:")
prints("D=sqrt{sum from{i=1}to{N}(x_{i}-bar x)^{2}over{N-1}}"):prints("")
prints("getting random values..."):prints("")
for i=1 to n
   x[i]=rnd(1000)
 next
close #1
prints("running the formula..."):prints("")
   av_x=0
for i=1 to n
   av_x=av_x+x[i]
 next
   av_x=av_x/n
   sum=0
for i=1 to n
   sum=sum+(x[i]-av_x)^2
 next
   stp3=sum/(n-1)
   d=sqr(stp3)
prints("standard deviation: "+str$(d)):prints("")
waitkey
cls
wend

my main interest is being able to convert formulas like from here: http://www.google.com/search?q=ieee+papers+pdf&sourceid=mozilla-search&start=0&start=0 to algorithm

thanks! :-)

That sounds correct, according to my memory of C.

".net" has lots of stuff built in

Javascript has the Math object

Most languages have some math built in, but to do more complicated stuff you gotta get in to some programming.

Math notation is all about concepts. There may or may not be an algorithm, or there could be lots of algorithms!

Being able to turn a concept (expressed in math notation) into a workable algorithm can be an interesting and challenging task! (It is like when a Scientist discovers something, then the Engineer takes over to make it workable)

And, because it is something practical you want to do, you don't have to do everything 100% accurately - speed will be important.

An example is this thread here where a method for calculating cosine is discused - it is only necessary to calculate the first few terms to get a good result.

(BTW, I can see that No 13 is a matrix multiplication, and there are algorithms (and programs) to do that.)

thanks!!! - btw, if possible,  the point is how can i get to know how can i convert these formulas into algorithms - the standard deviation i knew how to do it, but stuff like calculation integrals and all of these stuff i really don't know - my math notation knowledge got stuck in the middle of highschool, and i choosed fine-arts university, so, during a long time i don't know what is math notation, and that time i had no interest about math notation as i have now (i never thaught those would be helpful for me for picture processing)
Is any open documentation (like from dspace, wikipedia or whatever, or even bibliography) could help me on this task?  or even anyone(s) from this forum can explain how each situation is used in a code notation?
really thanks, for me and all people knows the importance of this help...