2D Random Walk Please Explain What These For Loops Are Doing
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Kelly McGuire
am 16 Jan. 2019
Kommentiert: Kelly McGuire
am 18 Jan. 2019
Could someone explain how and what these for loops are doing in the 2D random walk?
clc
clear all
%Ask for number of rivers
NumberOfSimulations = input('How many rivers? \n');
%Ask for number of steps
n = input('How many steps? \n'); % number of steps, nt increasing and n(t-1) decreasing
%StartPoint
x0 = 0;
%End point after n steps
xtarg = 40;
Saved = NaN*zeros(n+1,NumberOfSimulations+2); %Initializes Array
Saved(1,:) = x0; %Fills first row with x0 value
Saved(n+2,:) = xtarg; %Fills last row with xtarg value
for q = 1:NumberOfSimulations
unifs = rand(n+1,1);
x = x0;
for i = 0:(n-1)
t = (1-(xtarg-x)/(n-i))/2;
if unifs(i+1,1) <= t
x = x-1;
else
x = x+1;
end
Saved(i+2,q) = x;
end
end
dlmwrite('Saved.txt',Saved,'delimiter','\t','precision',3)
load Saved.txt
figure(1);
hold on;
plot(Saved);
1 Kommentar
Walter Roberson
am 17 Jan. 2019
t is strange.
The loop will, I figure, increment x for at least the first n/2 + 20 steps as I figure that t will be >= 1 until then.
Akzeptierte Antwort
Jan
am 16 Jan. 2019
The question is not really clear. You can read in the documentation, what the for command does:
doc for
But maybe you ask for the contents of the loops. Some parts are trivial, so it is not clear, which information is not clear to you yet. Therefor a specific question would be smarter.
% Run a loop from q=1 until q=NumberOfSimulations
for q = 1:NumberOfSimulations
% Get n+1 random numbers between 0 and 1
unifs = rand(n+1,1);
% Set x to the initial value:
x = x0;
% Run a loop from i=0 to i=n-1
for i = 0:(n-1)
% Define a parameter t according to the current value of x
% and the value of the iteration counter:
t = (1-(xtarg-x)/(n-i))/2;
% If the random value defined in the outer loop is smaller
% or equal than t, subtract 1 from x, otherwise add 1:
if unifs(i+1,1) <= t
x = x-1;
else
x = x+1;
end
% Store the current value of x in the output matrix "Saved":
Saved(i+2,q) = x;
end
end
Actually this code does not contain complicated functions. Maybe the debugger helps you to understand it: Set a breakpoint in the code and run the program line by line. Check the changes in the WorkspaceBrowser to see, what's going on. The purpose of functions is explained in the documentation, so use help or doc to find a description.
3 Kommentare
Jan
am 17 Jan. 2019
As simplification omit unifs but create the random number dynamically:
for i = 0:(n-1)
t = (1-(xtarg-x)/(n-i))/2;
if rand <= t
x = x-1;
else
x = x+1;
end
xtarg is the endpoint of the andom walk. t is a probability depending on the distance to the endpoint and to the number of iterations. If t is e.g. 0.4, the condition rand <= 0.4 means, that with a probability of 40% x is decreased by 1, and 60% that x is increased.
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