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Showing 1 to 5 of 5 for “"Non-smooth Optimization"”.

  1. Spectral efficiency optimization with channel state information of a massive MIMO System

    … communication operations can be formulated as nonconvex non-smooth optimization problems. Often there is lack of effective algorithms for these problems especially in the event that the optimization variables are non-linear and coupled in some nonconvex constraints. To add on to that it is …

    cape-town Repository record for Spectral efficiency optimization with channel state information of a massive MIMO System (opens in a new tab)

  2. Designing resilient lifeline networks a primal-dual optimization approach

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms

    uiuc Repository record for Designing resilient lifeline networks a primal-dual optimization approach (opens in a new tab)

  3. Nonsmooth Methods for Process Integration

    … for maximizing resource recovery that use nonsmooth functions to compactly describe the resource that is available at different qualities. This work can be divided into three main contributions that improve process integration for systems with different resources and assumptions: 1. A …

    mit Repository record for Nonsmooth Methods for Process Integration (opens in a new tab)

  4. Smooth convex approximation and its applications

    In this thesis, we consider a smooth convex approximation to the sum of the $\kappa$ largest components. To make it applicable to a wide class of applications, the study is conducted on some minmax problems. Based on a special smoothing technique, we give an efficient scheme for nonsmooth convex …

    nus Repository record for Smooth convex approximation and its applications (opens in a new tab)

  5. The Clarke Derivative and Set-Valued Mappings in the Numerical Optimization of Non-Smooth, Noisy Functions

    … tool for the convergence analysis of numerical optimization methods. It is based on the concepts of the Clarke derivative and set-valued mappings. Our goal is to apply this tool to minimization problems with non-smooth and noisy objective functions. After deriving a necessary condition for …

    vt Repository record for The Clarke Derivative and Set-Valued Mappings in the Numerical Optimization of Non-Smooth, Noisy Functions (opens in a new tab)