Titlebook: Numerical Nonsmooth Optimization; State of the Art Alg Adil M. Bagirov,Manlio Gaudioso,Sona Taheri Book 2020 Springer Nature Switzerland AG

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Beyond First Order: ,-Decomposition Methodspace, an intermediate iterate is defined such that the overall convergence is driven by the .-step. As a result, the serious-step subsequence converges with superlinear speed..By focusing on the proximal variants of bundle methods, this chapter introduces gradually the .-theory and the ingredients n

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Bundle Methods for Inexact Datah which, although not exaustive, covers various classes of bundle methods and various types of inexact oracles, for unconstrained and convexly constrained problems (with both convex and nonconvex objective functions), as well as nonsmooth mixed-integer optimization.

hedonic

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Mixed-Integer Linear Optimization: Primal–Dual Relations and Dual Subgradient and Cutting-Plane Methts to solving the convexified problem by Dantzig–Wolfe decomposition, as well as a two-phase method that benefits from the advantages of both subgradient optimization and Dantzig–Wolfe decomposition. Finally, we describe how the Lagrangian dual approach can be used to find near optimal solutions to

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Antonio Frangioniertial particle models at once, we extend the concept of second-order vortex corelines to the inertial case and make them Galilean-invariant by deriving the criteria from a steady reference frame, rather than from a geometric characterization.