CV Lattes
Universidade Estadual de Campinas (UNICAMP). Instituto de Matemática, Estatística e Computação Científica (IMECC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
master's at Mathematics from Universidade Estadual de Campinas (2011)., acting on the following subjects: hessian matrices and automatic differentiation. (Source: Lattes Curriculum)
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The approximate or analytical computation of large scale sparse Hessian and Jacobian matrices can be improved using graph coloring. Although the coloring problem is NP-hard, several heuristics have been proved successful in practice. We intend to investigate the impact, in the solution of specific classes of optimization problems, of incorporating these heuristics in optimization routines…
The approximation of sparse Jacobians and Hessians may take up an important share of computation effort in the numerical solution of optimization problems. Graph modeling and coloring techniques are employed to make the calculation more efficient. (AU)
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