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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2015-05-12 20:15:58 -0400 |
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| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2015-05-12 20:15:58 -0400 |
| commit | 9f58f2f1b422e5f37d4c3b31e2cae5e8333c6def (patch) | |
| tree | 7e30a585f9a40b8256c891422cc404ced6295935 | |
| parent | a95ec2fe0169eed3d626fe2c3c645bfbcf48836d (diff) | |
| download | econ2099-9f58f2f1b422e5f37d4c3b31e2cae5e8333c6def.tar.gz | |
Removing a sentence which was cut in two by previous edits
| -rw-r--r-- | final/main.tex | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/final/main.tex b/final/main.tex index d4e64f1..dfa5914 100644 --- a/final/main.tex +++ b/final/main.tex @@ -122,7 +122,7 @@ Problem~\ref{eq:opt}: \E_{t\sim F}\big[x_i(t)] \leq \hat{x}_i,\quad\forall i\in[m] \end{equation} which expresses that the ex-ante allocation probability is upper-bounded by -$\hat{x}$. Note that when $\hat{x} = (1,\ldots,1)$, the ex-ante allocation +$\hat{x}$. Following \citep{hartline}, we use the notation $R(\hat{q})$ to denote the revenue obtained by the optimal mechanism which serves with ex-ante allocation |
