Pages that link to "Item:Q3388781"
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The following pages link to Consensus-based optimization on hypersurfaces: Well-posedness and mean-field limit (Q3388781):
Displaying 29 items.
- A note on the mean-field limit for the particle swarm optimization (Q2022286) (← links)
- Emergent behaviors of high-dimensional Kuramoto models on Stiefel manifolds (Q2063836) (← links)
- Propagation of chaos: a review of models, methods and applications. II: Applications (Q2088753) (← links)
- Binary interaction methods for high dimensional global optimization and machine learning (Q2152587) (← links)
- Synthetic nonlinear second-order oscillators on Riemannian manifolds and their numerical simulation (Q2669193) (← links)
- A consensus-based model for global optimization and its mean-field limit (Q2963631) (← links)
- An analytical framework for consensus-based global optimization method (Q4569644) (← links)
- (Q5053253) (← links)
- Trends in Consensus-Based Optimization (Q5054579) (← links)
- Stochastic consensus dynamics for nonconvex optimization on the Stiefel manifold: Mean-field limit and convergence (Q5074805) (← links)
- Zero-Inertia Limit: From Particle Swarm Optimization to Consensus-Based Optimization (Q5081153) (← links)
- Anisotropic Diffusion in Consensus-Based Optimization on the Sphere (Q5097020) (← links)
- Convergence analysis of the discrete consensus-based optimization algorithm with random batch interactions and heterogeneous noises (Q5104580) (← links)
- From particle swarm optimization to consensus based optimization: Stochastic modeling and mean-field limit (Q5164246) (← links)
- Constrained Consensus-Based Optimization (Q5883321) (← links)
- Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds (Q6080958) (← links)
- Consensus‐based sampling (Q6085783) (← links)
- On the stochastic robustness of complete clustering predictability for a first‐order consensus model (Q6085794) (← links)
- On the mean‐field limit for the consensus‐based optimization (Q6087632) (← links)
- Consensus-based optimization via jump-diffusion stochastic differential equations (Q6102917) (← links)
- Kinetic-based optimization enhanced by genetic dynamics (Q6125057) (← links)
- Collective behaviors of stochastic agent-based models and applications to finance and optimization (Q6133473) (← links)
- On the global convergence of particle swarm optimization methods (Q6166343) (← links)
- Ensemble-Based Gradient Inference for Particle Methods in Optimization and Sampling (Q6177924) (← links)
- Anisotropic Diffusion in Consensus-based Optimization on the Sphere (Q6364331) (← links)
- Consensus-based optimization methods converge globally (Q6601205) (← links)
- Control methods in hyperbolic PDEs. Abstracts from the workshop held November 5--10, 2023 (Q6613396) (← links)
- Leveraging memory effects and gradient information in consensus-based optimisation: on global convergence in mean-field law (Q6622995) (← links)
- Optimization by linear kinetic equations and mean-field Langevin dynamics (Q6669902) (← links)
