To find the critical values of a multi-variable function in Matlab, we can use the "gradient" function. Then, we need to solve for the values in which the gradient is equal to the zero vector, which will give us the critical points. The Hessian matrix can be used to determine the nature of the critical points.
Here's an example code for a function f(x,y) with two variables:
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This code will output the critical points and their nature (global minimum, maximum, or saddle point) in the given function. Note that if the determinant of the Hessian matrix is zero, we cannot determine the nature of the critical point.
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