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Marek J. Smietanski
In this paper, we propose a new version of the generalized damped Gauss?Newton method for solving nonlinear complementarity problems based on the transformation to the nonsmooth equation, which is equivalent to some unconstrained optimization problem. Th...
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Chunming Tang, Yanni Li, Xiaoxia Dong and Bo He
In this paper, we consider a class of structured optimization problems whose objective function is the summation of two convex functions: f and h, which are not necessarily differentiable. We focus particularly on the case where the function f is general...
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Napsu Karmitsa and Sona Taheri
Nonsmooth optimization refers to the general problem of minimizing (or maximizing) functions that have discontinuous gradients. This Special Issue contains six research articles that collect together the most recent techniques and applications in the are...
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Outi Montonen, Timo Ranta and Marko M. Mäkelä
Several countries utilize nuclear power and face the problem of what to do with the spent nuclear fuel. One possibility, which is under the scope in this paper, is to dispose of the fuel assemblies in the disposal facility. Before the assemblies can be d...
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Annabella Astorino, Antonio Fuduli, Giovanni Giallombardo and Giovanna Miglionico
A multiple instance learning problem consists of categorizing objects, each represented as a set (bag) of points. Unlike the supervised classification paradigm, where each point of the training set is labeled, the labels are only associated with bags, wh...
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