Store value into matrix, and then perform calculation upon each element
4 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Hi, I have a question about performing calculation on each matrix elements.
My code is here:
syms m a x u;
a=16807;
m=2^31-1;
x=1;
for i=1:10^2
y=a*x
x=mod(y,m)
u(i)=x/m
X = betainv(u,2,3); % beta distributed random fraction of defective parts
Y = logninv(u,5,3); % lognormal distributed demand amount
Q = 100;
Revenue=min(Y,(1-X)*Q)*53; %the total revenue
Cost=27*Q;
Salvage=3*max(Q*(1-X)-Y,0)+X*Q; %all the unsolde parts are salvaged, defective parts included
p=Revenue+Salvage-Cost;
end;
expectedprofit=mean(p)
Basically, I generate a series of uniformly distributed random numbers. And then I use these numbers to genearate beta and lognormal distributed ones, and I would like to store them into matrix X and Y. Then I want to perform the profit calculation (revenue-cost+salvage cost etc.) for each of the values in X and Y. I just don't know how to do that.
I tried to put things as X(i) and Y(i) (to store value into matrix), but MLATLAB finds an error in that step.
I just started learning Monte Carlo simulation using MATLAB. Hope somebody can help me out here.
Thanks a lot! Ying
0 Kommentare
Akzeptierte Antwort
Ondrej
am 6 Feb. 2012
I guess you want to do
X(i) = betainv(u(i),2,3);
Y(i) = logninv(u(i),5,3);
you either missed the u(i) index, or you want to store growin u, in that case X(:,i), Y(:,i) would be some matrices (but with growing columnsize..size in your case u is growing).
2 Kommentare
Ondrej
am 11 Feb. 2012
Well, the difference is that X(i) means X is a vector and X(:,i) is a matrix (meaning the i-th column of X). See http://www.mathworks.com/help/techdoc/math/f1-85462.html
Btw. if you do for loops with variables growing inside, consider preallocating: http://www.mathworks.com/support/solutions/en/data/1-18150/
As for your code, it doesn't work for me because of the symbolic variables in betainv, so I think I can't help you with that.
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Linear Least Squares finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!