Cover Image

Kinetic Theories for Metropolis Monte Carlo Methods

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Herty, Michael, Ringhofer, Christian
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control Numerical Analysis Probability 82C22, 35K55, 65C05
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ProxiCBO: A Provably Convergent Consensus-Based Method for Composite Optimization
by: Zhang, Haoyu, et al.
Published: (2026)

Kinetic models for optimization: a unified mathematical framework for metaheuristics
by: Borghi, Giacomo, et al.
Published: (2024)

Multilevel Monte Carlo methods for the Dean-Kawasaki equation from Fluctuating Hydrodynamics
by: Cornalba, Federico, et al.
Published: (2023)

Adjoint DSMC Method for Spatially Inhomogeneous Boltzmann Equation with General Boundary Conditions
by: Caflisch, Russel, et al.
Published: (2026)

Swarm-based optimization with jumps: a kinetic BGK framework and convergence analysis
by: Borghi, Giacomo, et al.
Published: (2025)

Kinetic variable-sample methods for stochastic optimization problems
by: Bonandin, Sabrina, et al.
Published: (2025)

A second-order structure-preserving discretization for the Cahn-Hilliard/Allen-Cahn system with cross-kinetic coupling
by: Brunk, Aaron, et al.
Published: (2023)

An Additively Preconditioned Trust Region Strategy for Machine Learning
by: Alegría, Samuel Cruz, et al.
Published: (2025)

A space-time hybrid parareal method for kinetic equations in the diffusive scaling
by: Laidin, Tino
Published: (2025)

A localized consensus-based sampling algorithm
by: Bouillon, Arne, et al.
Published: (2025)

An interacting particle consensus method for constrained global optimization
by: Carrillo, José A., et al.
Published: (2024)

Propagation of chaos for the homogeneous Boltzmann equation with moderately soft potentials
by: Fournier, Nicolas, et al.
Published: (2025)

An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction
by: Lin, Yizun, et al.
Published: (2024)

Error analysis for a viscoelastic phase separation model
by: Brunk, Aaron, et al.
Published: (2024)

Convergence of a Sequential Monte Carlo algorithm towards multimodal distributions on Rd
by: Han, Ruiyu
Published: (2025)

Time-complexity of sampling from a multimodal distribution using sequential Monte Carlo
by: Han, Ruiyu, et al.
Published: (2025)

Improved Survival Results for the One-Dimensional Renewal Contact Process
by: de Carvalho, Gustavo O., et al.
Published: (2026)

Wasserstein convergence rates for stochastic particle approximation of Boltzmann models
by: Borghi, Giacomo, et al.
Published: (2025)

Accelerated Markov Chain Monte Carlo Algorithms on Discrete States
by: Zhou, Bohan, et al.
Published: (2025)

Gradient-based Monte Carlo methods for relaxation approximations of hyperbolic conservation laws
by: Bertaglia, Giulia, et al.
Published: (2023)

Mean-field limits for Consensus-Based Optimization and Sampling
by: Gerber, Nicolai Jurek, et al.
Published: (2023)

Uniform-in-time propagation of chaos for Consensus-Based Optimization
by: Gerber, Nicolai, et al.
Published: (2025)

Uniform-in-time propagation of chaos for Second-Order Consensus-Based Optimization
by: Ha, Seung-Yeal, et al.
Published: (2026)

Projected Langevin Monte Carlo algorithms in non-convex and super-linear setting
by: Pang, Chenxu, et al.
Published: (2023)

EnKSGD: A Class Of Preconditioned Black Box Optimization And Inversion Algorithms
by: Irwin, Brian, et al.
Published: (2023)

Model Hierarchy for the Shape Optimization of a Microchannel Cooling System
by: Blauth, Sebastian, et al.
Published: (2019)

Consensus-based algorithms for stochastic optimization problems
by: Bonandin, Sabrina, et al.
Published: (2024)

Gelation in cluster coagulation processes
by: Andreis, Luisa, et al.
Published: (2023)

Implicit integration of the TDGL equations of superconductivity
by: Gunter, D. O., et al.
Published: (2000)

The frozen-field approximation and the Ginzburg-Landau equations of superconductivity
by: Kaper, H. G., et al.
Published: (2000)

A Generalized $\ell_1$-Merit Function SQP Method Using Function Approximations with Tunable Accuracy
by: Grundvig, Dane S., et al.
Published: (2025)

Stochastic Filtering of Reaction Networks Partially Observed in Time Snapshots
by: Rathinam, Muruhan, et al.
Published: (2023)

ASPEN: An Additional Sampling Penalty Method for Finite-Sum Optimization Problems with Nonlinear Equality Constraints
by: Krejić, Nataša, et al.
Published: (2025)

The multi-index Monte Carlo method for semilinear stochastic partial differential equations
by: Haji-Ali, Abdul-Lateef, et al.
Published: (2025)

Local weak limit of dynamical inhomogeneous random graphs
by: Dort, Léo, et al.
Published: (2023)

A generalized reduction scheme for the Stochastic Weighted Particle Method
by: Goeckner, Matthew, et al.
Published: (2025)

Reconstruction of source function in a parabolic equation using partial boundary measurements
by: Sharma, T., et al.
Published: (2025)

Constrained Dikin-Langevin diffusion for polyhedra
by: Chok, James, et al.
Published: (2025)

Optimal local interventions in the two-dimensional Abelian sandpile model
by: de Jongh, Maike C., et al.
Published: (2026)

Asymptotic behavior of the critical density of activated random walk
by: Kaufman, Harley, et al.
Published: (2025)