On Strong Convergence to Equilibrium for the Boltzmann Equation with Soft Potentials
, 2009 The paper concerns $L^1$- convergence to equilibrium for weak solutions of the spatially homogeneous Boltzmann Equation for soft potentials $(-4\le ...
B. Wennberg +32 more
core +3 more sources
Convergence Rate for a Gauss Collocation Method Applied to Constrained Optimal Control [PDF]
SIAM Journal of Control and Optimization, 2016 A local convergence rate is established for a Gauss orthogonal collocation method applied to optimal control problems with control constraints. If the Hamiltonian possesses a strong convexity property, then the theory yields convergence for problems ...
W. Hager +4 more
semanticscholar +1 more source
Convergence rates of posterior distributions
The Annals of Statistics, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ghosal, Subhashis +2 more
openaire +2 more sources
Potential therapeutic targeting of BKCa channels in glioblastoma treatment
Molecular Oncology, EarlyView.This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak +4 more
wiley +1 more source
Tight Global Linear Convergence Rate Bounds for Douglas-Rachford Splitting
, 2017 Recently, several authors have shown local and global convergence rate results for Douglas-Rachford splitting under strong monotonicity, Lipschitz continuity, and cocoercivity assumptions. Most of these focus on the convex optimization setting.
Giselsson, Pontus
core +1 more source
Strong Convergence Rate of Finite Difference Approximations for Stochastic Cubic Schr\"odinger Equations [PDF]
, 2016 In this paper, we derive a strong convergence rate of spatial finite difference approximations for both focusing and defocusing stochastic cubic Schr\"odinger equations driven by a multiplicative $Q$-Wiener process.
J. Cui, Jialin Hong, Zhihui Liu
semanticscholar +1 more source
Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin
Molecular Oncology, EarlyView.The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla +10 more
wiley +1 more source
Federated Semi-Supervised Learning with Uniform Random and Lattice-Based Client Sampling
EntropyFederated semi-supervised learning (Fed-SSL) has emerged as a powerful framework that leverages both labeled and unlabeled data distributed across clients. To reduce communication overhead, real-world deployments often adopt partial client participation,
Mei Zhang, Feng Yang
doaj +1 more source
Ergodic Measure and Potential Control of Anomalous Diffusion
Entropy, 2023 In statistical mechanics, the ergodic hypothesis (i.e., the long-time average is the same as the ensemble average) accompanying anomalous diffusion has become a continuous topic of research, being closely related to irreversibility and increasing entropy.
Bao Wen +3 more
doaj +1 more source
Worst-case examples for Lasserre's measure--based hierarchy for polynomial optimization on the hypercube [PDF]
, 2018 We study the convergence rate of a hierarchy of upper bounds for polynomial optimization problems, proposed by Lasserre [SIAM J. Optim. 21(3) (2011), pp. 864-885], and a related hierarchy by De Klerk, Hess and Laurent [SIAM J. Optim.
de Klerk, Etienne, Laurent, Monique
core +2 more sources