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- W2058157079 abstract "We discuss the use of the Newton method in the computation of max(p → Εp [f]), where p belongs to a statistical exponential family on a finite state space. In a number of papers, the authors have applied first order search methods based on information geometry. Second order methods have been widely used in optimization on manifolds, e.g., matrix manifolds, but appear to be new in statistical manifolds. These methods require the computation of the Riemannian Hessian in a statistical manifold. We use a non-parametric formulation of information geometry in view of further applications in the continuous state space cases, where the construction of a proper Riemannian structure is still an open problem." @default.
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- W2058157079 date "2014-07-28" @default.
- W2058157079 modified "2023-10-16" @default.
- W2058157079 title "Combinatorial Optimization with Information Geometry: The Newton Method" @default.
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- W2058157079 doi "https://doi.org/10.3390/e16084260" @default.
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