normal distrbution , Monte Carlo , Random

for this command

m=standard_deviation.*randn(1,1000)+mean;%generates an array of 1000 numbers

is this Monte Carlo simulation or not ; if mnot can you give the comand line of Monte Carlo based on normal distrbution .

Also if I need to get a fixed results can you update the comand to include seed please.

Regards

Hazim

Answer 1

[Aditya Patil]

Monte Carlo involves using random sampling, so depending on what you use the result for, it might be monte carlo.

For random seed, use

rng("default");

or

rng(1234); % some number

[Hazim Hamad]

Many thanks , do you mean now if sett the seed it will be not Montecarlo

[Aditya Patil]

No. Random number seed is used to make the code be reproducible everytime it's executed. In other words, you will get the same random numbers everytime you execute the script. The numbers you get from functions like rand() are still random.

[Hazim Hamad]

many thanks , i have another question please is it avialable in MATLAB tool deals with n single and multi objective robust optimisation please.

Regards

[Aditya Patil]

If are referring to optimizing some function under some constraints, optimization toolbox will help you. See solve for example. I did not understand what you mean by robust optimization. I recommend asking a separate question, as optimization is not my area of expertise, so someone else might be able to help you better.