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authorThibaut Horel <thibaut.horel@gmail.com>2015-03-06 18:16:03 -0500
committerThibaut Horel <thibaut.horel@gmail.com>2015-03-06 18:16:03 -0500
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@@ -149,10 +149,10 @@ adaptive policy is upper bounded by the optimal non-adaptive policy:
% \end{displaymath}
%\end{proposition}
-The proof of this proposition can be found in the full version of the
-paper~\cite{full} and relies on the following fact: the optimal adaptive policy
-can be written as a feasible non-adaptive policy, hence it provides a lower
-bound on the value of the optimal non-adaptive policy.
+The proof of this proposition can be found in Appendix~\ref{sec:ad-proofs} and
+relies on the following fact: the optimal adaptive policy can be written as
+a feasible non-adaptive policy, hence it provides a lower bound on the value of
+the optimal non-adaptive policy.
\subsection{From Non-Adaptive to Adaptive Solutions}\label{sec:round}
@@ -212,7 +212,7 @@ $S$ that we denote by $A(S)$.
More precisely, denoting by $\text{OPT}_A$ the optimal value of the adaptive
problem~\eqref{eq:problem}, we have the following proposition whose proof can
-be found in the full version of this paper~\cite{full}.
+be found in Appendix~\ref{sec:ad-proofs}.
\begin{proposition}\label{prop:cr}
Let $(S,\textbf{q})$ be an $\alpha$-approximate solution to the
non-adaptive problem \eqref{eq:relaxed}, then $\mathrm{A}(S) \geq \alpha