:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Wacker, Philipp
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis Probability Computation 62F15, 65N75, 37N40, 90C56
Online Access:	https://arxiv.org/abs/2402.00027
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Accuracy Boost in Ensemble Kalman Inversion via Ensemble Control Strategies
by: Harris, Ruben, et al.
Published: (2025)

Tensor cross interpolation for global discrete optimization with application to Bayesian network inference
by: Dolgov, Sergey, et al.
Published: (2025)

Tensor product algorithms for inference of contact network from epidemiological data
by: Dolgov, Sergey, et al.
Published: (2024)

Posterior contraction rates of computational methods for Bayesian data assimilation
by: Burman, Erik, et al.
Published: (2025)

Multilevel Markov Chain Monte Carlo with likelihood scaling for Bayesian inversion with high-resolution observations
by: Vanmechelen, Pieter, et al.
Published: (2024)

Numerical spectral analysis of Cauchy-type inverse problems: A probabilistic approach
by: Cîmpean, Iulian, et al.
Published: (2024)

Diffusion Graph Posterior Sampling for Nonlinear Inverse Problems with Application to Electrical Impedance Tomography
by: Alberti, Giovanni S., et al.
Published: (2026)

A probabilistic approach to spectral analysis of Cauchy-type inverse problems: Convergence and stability analysis
by: Cîmpean, Iulian, et al.
Published: (2025)

Riemannian Acceleration with Preconditioning for symmetric eigenvalue problems
by: Shao, Nian, et al.
Published: (2023)

Quasi-Monte Carlo for Bayesian design of experiment problems governed by parametric PDEs
by: Kaarnioja, Vesa, et al.
Published: (2024)

Losing momentum in continuous-time stochastic optimisation
by: Jin, Kexin, et al.
Published: (2022)

Adaptive Gaussian Process Regression for Bayesian inverse problems
by: Villani, Paolo, et al.
Published: (2024)

Vortex-capturing multiscale spaces for the Ginzburg-Landau equation
by: Blum, Maria, et al.
Published: (2024)

Error bounds for discrete minimizers of the Ginzburg-Landau energy in the high-$κ$ regime
by: Dörich, Benjamin, et al.
Published: (2023)

The pollution effect for FEM approximations of the Ginzburg-Landau equation
by: Chaumont-Frelet, Théophile, et al.
Published: (2025)

Quasi-Monte Carlo and importance sampling methods for Bayesian inverse problems
by: He, Zhijian, et al.
Published: (2024)

Deep BSDE Solver on Bounded Domains Part I: General Loss Rate
by: Würschmidt, Maximilian
Published: (2025)

An analysis of the derivative-free loss method for solving PDEs
by: Han, Jihun, et al.
Published: (2023)

An ensemble Kalman approach to randomized maximum likelihood estimation
by: Stavrinides, Pavlos, et al.
Published: (2025)

Bayesian parameter identification in impedance boundary conditions for Helmholtz problems
by: Wulbusch, Nick, et al.
Published: (2023)

Bayesian inversion for the identification of the doping profile in unipolar semiconductor devices
by: Taghizadeh, Leila, et al.
Published: (2024)

Finite Difference Method for Stochastic Cahn-Hilliard Equation Driven by A Fractional Brownian Sheet
by: Deng, Nan, et al.
Published: (2026)

Optimal order time discretizations for stochastic semilinear wave equations with multiplicative noise
by: Feng, Xiaobing, et al.
Published: (2024)

An Efficient Quasi-Newton Method with Tensor Product Implementation for Solving Quasi-Linear Elliptic Equations and Systems
by: Hao, Wenrui, et al.
Published: (2025)

Stochastic Galerkin methods for linear stability analysis of systems with parametric uncertainty
by: Sousedík, Bedřich, et al.
Published: (2022)

A multiscale approach to the stationary Ginzburg-Landau equations of superconductivity
by: Döding, Christian, et al.
Published: (2024)

Quasi-optimality of the Crouzeix-Raviart FEM for p-Laplace-type problems
by: Storn, Johannes
Published: (2025)

The Whitney method of fundamental solutions with Lusin wavelets
by: Jonsson, Jakob, et al.
Published: (2025)

Functional normalizing flow for statistical inverse problems of partial differential equations
by: Zhao, Yang, et al.
Published: (2024)

Stein variational gradient descent on infinite-dimensional space and applications to statistical inverse problems
by: Jia, Junxiong, et al.
Published: (2021)

Non-centered parametric variational Bayes' approach for hierarchical inverse problems of partial differential equations
by: Sui, Jiaming, et al.
Published: (2022)

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

A Minimal Perturbation Approach For The Rectangular Multiparameter Eigenvalue Problem
by: Han, Shanheng, et al.
Published: (2025)

Algebraic Multigrid with Filtering: An Efficient Preconditioner for Interior Point Methods in Large-Scale Contact Mechanics Optimization
by: Petrides, Socratis, et al.
Published: (2025)

An exterior calculus framework for polytopal methods
by: Bonaldi, Francesco, et al.
Published: (2023)

Companion-Based Multi-Level Finite Element Method for Computing Multiple Solutions of Nonlinear Differential Equations
by: Hao, Wenrui, et al.
Published: (2023)

Mixed finite element methods for elliptic obstacle problems
by: Führer, Thomas, et al.
Published: (2024)

Stabilization-Free General Order Virtual Element Methods for Neumann Boundary Optimal Control Problems in Saddle Point Formulation
by: Borio, Andrea, et al.
Published: (2024)

A posteriori error analysis, Pod-Deim reduced order geometrically parametrized models and unfitted FEMs
by: Karatzas, Efthymios N.
Published: (2026)

Limit cycles by FEM for a one-parameter dynamical system associated to the Luo-Rudy I model
by: Bichir, Cătălin Liviu, et al.
Published: (2011)