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\chapter{Introduction} \label{introduction} | ||
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% Present the IP problem | ||
The underlying problem we try to solve is the clasical \textit{Integer program} (IP) that we formulate in the following way: | ||
\begin{equation*} | ||
(IP) \equiv max\{c^tx : Ax = b, l \leq x \leq u, x \in \mathbb{Z}^n \} | ||
\end{equation*} | ||
\vspace{-50pt} | ||
\begin{center} | ||
$A \in \mathbb{Z}^{mxn}$, $b \in \mathbb{Z}^m$, $c \in \mathbb{Z}^n$, $l$ and $u$ lower and upper bounds for x | ||
\end{center} | ||
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% TODO - ADD: | ||
% Simplicity: Not allowing non-linear restrictions/objective functions | ||
% Powerful: Lot of applications, many problems admit IP formulation | ||
% Problem: Is NP-Complete | ||
% Solution (+-): Techniques for certain IPs, GRAVER BASIS! | ||
% N-Fold: As a success example | ||
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Despite its simplicity, it's well known the importance of IP. Several problems in diverse fields of the mathematics and algorithms admit an IP equivalent formulation (examples?). Unfortunately, IP is NP-Complete. This means that there is no efficient (polynomial) algorithm for solving IP in the general case (say general techniques and complexity?) and, therefore, knowing their importance and the lack of a general efficient algorithm for their resolution, there has been a great interest in restricted formulations of the problem and their resolution techniques. | ||
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In this project we present the concept of \textbf{Graver Basis} and its applications for solving the IP with, of course, the theoretical justification of this based on its properties. We apply this to a concrete IP formulation, the N-Fold IP and prove that it leads to a polynomial and efficient algorithm for this case. | ||
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