How to use fminsearch to find local maximum?

I would like to use fminsearch in order to find the local maximum of a function.

Is it possible to find local maximum using fminsearch with "just" searching on the negative return value of the function.

for example:

function f = myfun(x,a)
f = x(1)^2 + a*x(2)^2;
a = 1.5;
x = fminsearch(@(x) -1 * myfun(x,a),[0,1]);

Is it possible?

Update1: In order to elaborate my question and making it clearer (following some comments below) - I'm adding this update:

By asking if it's possible to do so, I meant is it a proper use of fminsearch function - is it the intended use to find max using fminsearch?

Update2: for who ever concern with the same question - In addition to the correct answer below , here is the documentation from https://www.mathworks.com/help/matlab/math/optimizing-nonlinear-functions.html#bsgpq6p-10

Maximizing Functions The fminbnd and fminsearch solvers attempt to minimize an objective function. If you have a maximization problem, that is, a problem of the form

max x f(x), then define g(x) = –f(x), and minimize g.

For example, to find the maximum of tan(cos(x)) near x = 5, evaluate:

[x fval] = fminbnd(@(x)-tan(cos(x)),3,8)

x = 6.2832

fval = -1.5574

The maximum is 1.5574 (the negative of the reported fval), and occurs at x = 6.2832. This answer is correct since, to five digits, the maximum is tan(1) = 1.5574, which occurs at x = 2π = 6.2832.

Solution

Yes you can, that's also why there is no fmaxsearch function:

For example:

func = @(x) sin(x);

sol = fminsearch(@(x) func(x),0)
% sol = pi/2
sol = fminsearch(@(x) func(x)*-1,0)
% sol = -pi/2