Let us consider the function
$$f(x,y)= x + y^2 - \ln(x+y)$$
If you try to minimize it using Wolfram Alpha (http://www.wolframalpha.com/input/?i=minimize+x%2By%5E2-ln%28x%2By%29), it founds a local minimum at $(x,y)=(1/2,1/2)$, but it can't find a global minimum. But that local minimum should also be the global one, since the function is a convex one and the domain is convex.
Am I wrong or is Wolfram Alpha wrong?
Ok, thanks to everybody who answered or commented, but perhaps I was not clear when writing my question: I knew that $(1/2,1/2)$ is a local minimum, and, since the $f(x,y)=x+y^2-ln(x+y)$ is a convex function and the domain is $D=\{(x,y) \in \mathbb{R}^2 : x+y >0\}$, which is a convex subset of $\mathbb{R}^2$, then a well kwown result in convex optimization ensures that $(1/2,1/2)$ is also a global minimum. Then perhaps I should have written: "why does Wolfram Alpha says 'no global minima found' when I ask to minimize $f(x,y)$?"
As far as I can understand from your answers, that sentence from Wolfram Alpha means only that it is not able to find a global minimum, not that the global minimum does not exist, is this correct?

Let's look at the first order conditions:
$f_{x} = 1 - \frac{1}{x + y} = 0$
$f_{y} = 2y - \frac{1}{x + y} = 0$
So $\frac{1}{x + y} = 1$, which gives us $y = \frac{1}{2}$. It follows that $x = \frac{1}{2}$.
So Wolfram Alpha seems to be correct here. Note you should also verify that $(\frac{1}{2}, \frac{1}{2})$ is a minimum, but this is straight-forward to do.