3,580 research outputs found

    Violence and Public Safety as a Democratic Simulacrum in Brazil

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    This paper analyzes actions taken by eight special programs for homicide reduction implemented in the states of Bahia, Ceará¡, Espí­rito Santo, Minas Gerais, Pernambuco, Rio de Janeiro and São Paulo, as well as the Brazilian Federal District. It aims to understand the historical permanence of lethal violence as one of the most striking social characteristics of Brazil and defends the argument that the prevention and tackling of homicides – understood in a broad sense that includes all intentional violent deaths – are operated, both politically and institutionally, from a symbolic simulacrum that causes incremental initiatives to fail to reach the architecture of criminal justice and public security institutions. As structural reforms in the criminal justice and public security system face several obstacles to being approved by the Legislative Branch, this simulacrum makes the police force and other institutions belonging to the system to continue operating from a center of criminal policies that do not depend on the construction of a democratic project of public security, protection of life or civil and human rights. The study reiterates that the debate on transparency and data quality can allow actions to strengthen institutional capacity for monitoring and evaluation and/or strategic litigation, which in turn may weaken of the path dependence and worldviews that operate the identified simulacrum. In other words, the debate on transparency and data quality is one of the strongest battlefronts for the reduction of violence and for the democratization of public safety in Brazil

    Exact Algorithms for the Graph Coloring Problem

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    The graph coloring problem is the problem of partitioning the vertices of a graph into the smallest possible set of independent sets. Since it is a well-known NP-Hard problem, it is of great interest of the computer science finding results over exact algorithms that solve it. The main algorithms of this kind, though, are scattered through the literature. In this paper, we group and contextualize some of these algorithms, which are based in Dynamic Programming, Branch-and-Bound and Integer Linear Programming. The algorithms for the first group are based in the work of Lawler, which searches maximal independent sets on each subset of vertices of a graph as the base of his algorithm. In the second group, the algorithms are based in the work of Brelaz, which adapted the DSATUR procedure to an exact version, and in the work of Zykov, which introduced the definition of Zykov trees. The third group contains the algorithms based in the work of Mehrotra and Trick, which uses the Column Generation method
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