I am getting "Array indices must be positive integers or logical values" in my code.
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x = 5;
errorThreshold = 0.001;
approximatedCos = 0;
for i = 0:20
term = ((-1)^i) * (x^(2*i)) / factorial(2*i);
approximatedCos = approximatedCos + term;
if abs(term) < errorThreshold
break;
end
end
fprintf('Approximated cos(%g):%g\n', x, approximatedCos);
I am getting the error in the term = ((-1)^i) * (x^(2*i)) / factorial(2*i); section and I couldn't fix it. Can someone help?
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采纳的回答
Voss
2023-12-4
You have created a variable called "factorial", the existence of which prevents you from using the "factorial" function.
Run
clear factorial
and then run your script again.
4 个评论
Voss
2023-12-4
@madhan ravi: Thanks!
@Arda: You're welcome!
Probably you created the variable "factorial" in another script (or an older version of this script). Scripts run in the base workspace and operate on variables in the base workspace. All scripts you run share the same workspace (the base workspace). Once a variable is in the base workspace, it stays there until it is cleared (or until MATLAB is restarted).
Functions, on the other hand, each have their own workspace which is created when the function starts running and is cleared when the function exits. That is, (by default) no variables in a function's workspace persist to potentially interfere with the running of another function. So this problem would not have happened if the code had been in a function instead of a script.
更多回答(1 个)
Shoresh Shokoohi
2023-12-4
You need to define it yourself or use the factorial function from the MATLAB Statistics and Machine Learning Toolbox.
Here is an example of how you can define the factorial function in your code:
x = 5;
errorThreshold = 0.001;
approximatedCos = 0;
% Define factorial function
fact = @(n) prod(1:n);
for i = 0:20
term = ((-1)^i) * (x^(2*i)) / fact(2*i);
approximatedCos = approximatedCos + term;
if abs(term) < errorThreshold
break;
end
end
fprintf('Approximated cos(%g): %g\n', x, approximatedCos);
1 个评论
Dyuman Joshi
2023-12-5
"You need to define it yourself or use the factorial function from the MATLAB Statistics and Machine Learning Toolbox."
Why do that when there is a built-in function available?
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