computation

I want to use this rational number in computations without losing the accuracy of the picture in Matlab: f = 359.0 + 16241/16250.0 I think storing, for instance by f = uint64(359.0 + 16241/16250.0) loses accuracy, seen as 360 in Matlab. I think the best way to handle the thing is never to store the value but to store its factors like % f = a + b/c a = 359 b = 16241 c = 16250 and then doing computation by the variables a, b and c, and giving the result as a picture. Is this a good way to maintain the accuracy? As you suggest, if you absolutely don't want to lose accuracy when storing a rational

I've started some problems on Project Euler . One of the questions: The prime factors of 13195 are 5, 7, 13 and 29. What is the largest prime factor of the number 600851475143 ? I have some code written up...and it works: class Integer def primeFactors load('/home/arseno/ruby/lib/prime.rb') a = [] for i in (1..self) div = self.to_f/i.to_f if((div==div.to_i)&&(Prime.prime?(i))) a << i end end a end end puts 13195.primeFactors Outputs: 5 7 13 29 So far so good! Now, when I put in 600851475143 instead, my terminal hangs up (rightfully so, it's computing a whole lot of stuff!) So what I attempted

For a project I have a specification with formulas, I have to implement. In these formulas a cumulative standard normal distribution function exists, that takes a float and outputs a probability. The function is symbolized by a Φ. Exists a Java-library, that computes this function? Yuval Adam Apache Commons - Math has what you are looking for. More specifically, check out the NormalDistribution class. If you want the exact code, this one seems to be the same function used in OpenOffice Calc (I've made some changes for it to work in java): // returns the cumulative normal distribution function