Integral global optimization method in statistical applications
نویسندگان
چکیده
منابع مشابه
Advances in Global Optimization: Methods and Applications
Semi-deteministic optimization methods We consider with : J Ω → Ω ⊂. We make the following assump tions: 1 (,) J C ∈ Ω and is coercive. The infimum of J is denoted by J m (when J m is unknown, we set J m to a low value). Many deterministic minimization algorithms can be seen as discrete dynamical systems coming from the discretization of first or second order Cauchy problems. On the other hand,...
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ژورنال
عنوان ژورنال: Computers & Mathematics with Applications
سال: 1993
ISSN: 0898-1221
DOI: 10.1016/0898-1221(93)90276-2