MATLAB: Monte carlo simulation simplification

meanmean square errormonte carlosimplify

lambda1 = 60.21;

lambda2 = 41.58;

lambda3 = 9.11;

lambda4 = 8.71;

lambda5 = 3.83;

lambda6 = 3.74;

lambda7 = 18.06;

r1 = poissrnd(lambda1)

r2 = poissrnd(lambda2)

r3 = poissrnd(lambda3)

r4 = poissrnd(lambda4)

r5 = poissrnd(lambda5)

r6 = poissrnd(lambda6)

r7 = poissrnd(lambda7

How can I simplify my code to get the same result? Please help

Best Answer

lambda = [60.21, 41.58, 9.11, 8.71, 3.83, 3.74, 18.06]
r = poissrnd(lambda)

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MATLAB: Solve system of large linear symbolic equations

On my system, Maple ran out of memory trying to solve() that equation. There is a possibility that a system with more memory might be able to arrive at an answer, given enough time.

Solving the entire system of 12 equations when they are each this large, would take a lot of time and memory.

I would recommend following John's advice to simplify the system.

MATLAB: How to simplify this code

X = 1:10 ; 
X10 = zeros([],1) ; 
for i = 3:10
X10 = [X10 X(i)] ; 
end

The above can be simply achieved using:

X10 = X(3:10) ;

Best Answer

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MATLAB: Solve system of large linear symbolic equations

MATLAB: How to simplify this code

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