normal distrbution , Monte Carlo , Random
显示 更早的评论
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
回答(1 个)
Aditya Patil
2021-3-30
编辑:Aditya Patil
2021-3-30
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
4 个评论
Hazim Hamad
2021-3-30
Aditya Patil
2021-3-30
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
2021-3-30
Aditya Patil
2021-3-30
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.
类别
在 帮助中心 和 File Exchange 中查找有关 Link-Level Simulation 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!