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    Reduced-Order Models and Conditional Expectation: Analysing Parametric Low-Order Approximations by Hermann G. Matthies

    Published 2025-02-01
    “…The parameter-dependent reduction process produces a function mapping the parameters to the manifold.One now wants to examine the relation between the full and the reduced state for all possible parameter values of interest. …”
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    “Optimizing the Optimization”: A Hybrid Evolutionary-Based AI Scheme for Optimal Performance by Agathoklis A. Krimpenis, Loukas Athanasakos

    Published 2025-03-01
    “…Optimization algorithms for solving technological and scientific problems often face long convergence times and high computational costs due to numerous input/output parameters and complex calculations. …”
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    Finite-size local dimension as a tool or extracting geometrical properties of attractors of dynamical systems by M. Bonte, S. Vannitsem

    Published 2025-05-01
    “…We show that the dimension can considerably depend on <span class="inline-formula"><i>R</i></span>, and this view differs from the usual one in geophysics literature, where it is often considered that there is one dimension for a given dynamical state or process. We also systematically assess the reliability of the computed dimension given the number of points to compute it.…”
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  8. 8548

    Low‐rank isomap algorithm by Eysan Mehrbani, Mohammad Hossein Kahaei

    Published 2022-07-01
    “…Although the reduction of the computational complexity of the graphing stage has been investigated by graph processing methods, the eigenvalue decomposition stage remains a bottleneck in the problem. …”
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    Methodology for Automating and Orchestrating Performance Evaluation of Kubernetes Container Network Interfaces by Vedran Dakić, Jasmin Redžepagić, Matej Bašić, Luka Žgrablić

    Published 2024-11-01
    “…To address this, we introduce a novel approach that leverages Ansible to automate and standardize the evaluation process across diverse CNIs, performance profiles, and configurations. …”
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