Runge-Kutta function
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derive a Matlab function that receive a Second-order differential equation and step size and initial value from user and solve it with 4th order Runge-Kutta or 2nd order Runge-Kutta which is choosen by user.
댓글 수: 2
James Tursa
2019년 5월 29일
What have you done so far? What specific problems are you having with your code?
john smith
2019년 5월 29일
답변 (2개)
James Tursa
2019년 5월 29일
편집: James Tursa
2019년 5월 29일
Here is some code to get you started. It receives a string from the user for a derivative function of x and t and turns it into a function handle that can be used in an RK scheme.
s = input('Input an expression for the derivative of x (it can use t also): ','s');
dx = str2func(['@(t,x)' s]);
Now you have a function handle that calculates the derivative of x. You call it with the current time t and state x: dx(t,x)
E.g., running this code:
Input an expression for the derivative of x (it can use t also): cos(x) + t*x^2
>> dx
dx =
function_handle with value:
@(t,x)cos(x)+t*x^2
However, if your derivative function involves variables from the workspace, then you will need to use eval( ) instead because str2func( ) can't see those local variables when it creates the function handle:
dx = eval(['@(t,x)' s]);
E.g.,
>> a = 5;
>> s = input('Input an expression for the derivative of x (it can use t also): ','s');
Input an expression for the derivative of x (it can use t also): a*cos(x)+t*x^2
>> dx = str2func(['@(t,x)' s]);
>> dx(2,3)
Undefined function or variable 'a'. <-- str2func didn't work
Error in @(t,x)a*cos(x)+t*x^2
>> dx = eval(['@(t,x)' s]);
>> dx(2,3)
ans =
13.0500 <-- eval did work
For the RK4 and RK2 schemes, what has your instructor given you? Surely there must be algorithms for this that were discussed in class.
Meysam Mahooti
2021년 7월 28일
0 개 추천
https://www.mathworks.com/matlabcentral/fileexchange/55430-runge-kutta-4th-order?s_tid=srchtitle
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