When is lagrange multiplier the best choice?

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Let f(x,y) be a smooth function.

If i want to find the min and max of this function in the quarter disk constrained by x^2+y^2=1 in the first quadrant.

Can i then use lagrange multiplier to do this or is the best way to go to just search for stationary points and then check the boundery?

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Lagrange multipliers will work for "most" of the boundary if you take the boundary to be 3 pieces: $x = 0$, $y = 0$, $x^2 + y^2 = 1$. But then you need to check the points $(1,0)$ and $(0,1)$ and $(0,0)$ separately because the min or max could happen at one of these points and you might not find it with Lagrange multipliers on the 3 boundaries.