Added notation for int mult complexity

master
Atri Rudra 2021-04-06 10:40:05 -04:00
parent 1481e3b1f9
commit 6b918517ef
4 changed files with 9 additions and 1 deletions

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.gitignore vendored
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*.blg
*.xoj
*.auxlock
*.vtc

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A subcircuit of a circuit $\circuit$ is a circuit \subcircuit such that \subcircuit is a DAG \textit{subgraph} of the DAG representing \circuit. The sink of \subcircuit has exactly one gate \gate.
\end{Definition}
Finally, we will need the following notation for the complexity of multiplying large integers:
\begin{Definition}[$\multc{\cdot}{\cdot}$]
In a RAM model of word size of $W$-bits, $\multc{M}{W}$ denotes the complexity of multiplying two integers represented with $M$-bits. (We will assume that for input of size $N$, $W=O(\log{N})$.
\end{Definition}
We note that when doing arithmetic operations on the RAM model for input of size $N$, we have that $\multc{O(\log{N})}{O(\log{N})}=O(1)$. More generally we have $\multc{N}{O(\log{N})}=O(N\log{N}\log\log{N})$.
\subsection{Our main result}
In the subsequent subsections we will prove the following theorem.

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%%%Adding stuff below so that long chain of display equatoons can be split across pages
\allowdisplaybreaks
%Macro for mult complexity
\newcommand{\multc}[2]{\overline{\mathcal{M}}\left({#1},{#2}\right)}
%%% Local Variables:

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\contitem\title{Standard Operating Procedure in Bag PDBs Queries Considered Harmful}\author{Su Feng, Boris Glavic, Aaron Huber, Oliver Kennedy, and Atri Rudra}\page{23:1--23:45}