:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Duersch, Jed A., Catanach, Tommie A., Safonov, Alexander, Wendt, Jeremy
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning 65C05, 65D40, 65K10
Acceso en línea:	https://arxiv.org/abs/2411.16914
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Preconditioned primal-dual dynamics in convex optimization: non-ergodic convergence rates
por: Apidopoulos, Vassilis, et al.
Publicado: (2025)

Quadrature by Two Expansions: Evaluating Laplace Layer Potentials using Complex Polynomial and Plane Wave Expansions
por: Ding, Lingyun, et al.
Publicado: (2019)

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

Curvature-Based Optimal Polynomial Geometric Interpolation of Circular Arcs
por: Češek, Ema, et al.
Publicado: (2025)

Spherical Designs for Function Approximation and Beyond
por: Xiao, Yuchen, et al.
Publicado: (2023)

Accelerating Diagonal Methods for Bilevel Optimization: Unified Convergence via Continuous-Time Dynamics
por: Boţ, Radu Ioan, et al.
Publicado: (2025)

Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods
por: Laumont, Remi, et al.
Publicado: (2024)

Hadamard Langevin dynamics for sampling the l1-prior
por: Cheltsov, Ivan, et al.
Publicado: (2024)

Toroidal area-preserving parameterizations of genus-one closed surfaces
por: Sutti, Marco, et al.
Publicado: (2025)

An efficient implementation algorithm for quasi-Monte Carlo approximations of high-dimensional integrals
por: Zhong, Huicong, et al.
Publicado: (2024)

Accelerated Gradient Methods for Nonconvex Optimization: Escape Trajectories From Strict Saddle Points and Convergence to Local Minima
por: Dixit, Rishabh, et al.
Publicado: (2023)

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

Efficient Admissible Set Projection in Optimization-based Invariant-Domain-Preserving Limiters for Ideal MHD
por: Liu, Chen, et al.
Publicado: (2026)

Efficient optimization-based invariant-domain-preserving limiters in solving gas dynamics equations
por: Liu, Chen, et al.
Publicado: (2025)

Mean Curvature Flow of Closed Curves Evolving in Two Dimensional Manifolds
por: Kolar, Miroslav, et al.
Publicado: (2025)

Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo
por: Klebanov, Ilja
Publicado: (2024)

The Fast Newton Transform: Interpolation in Downward Closed Polynomial Spaces
por: Hofmann, Phil-Alexander, et al.
Publicado: (2025)

Iterative Methods in GPU-Resident Linear Solvers for Nonlinear Constrained Optimization
por: Świrydowicz, Kasia, et al.
Publicado: (2024)

Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
por: Zhou, Juan, et al.
Publicado: (2024)

Convergence for adaptive resampling of random Fourier features
por: Huang, Xin, et al.
Publicado: (2025)

Technical results on the convergence of quasi-Newton methods for nonsmooth optimization
por: Gebken, Bennet
Publicado: (2025)

Implicit augmented Lagrangian and generalized optimization
por: De Marchi, Alberto
Publicado: (2023)

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

Inertial Methods with Viscous and Hessian driven Damping for Non-Convex Optimization
por: Maulen-Soto, Rodrigo, et al.
Publicado: (2024)

Higher Order Regularization using Harmonic Eigenfunctions for Model-Based Reconstruction in Magnetic Particle Imaging
por: März, Thomas, et al.
Publicado: (2025)

Debye Relaxation in Model-Based Multi-Dimensional Magnetic Particle Imaging
por: Gapyak, Vladyslav, et al.
Publicado: (2026)

From characteristic functions to multivariate distribution functions and European option prices by the damped COS method
por: Junike, Gero, et al.
Publicado: (2023)

An Introduction to Solving the Least-Squares Problem in Variational Data Assimilation
por: Daužickaitė, I., et al.
Publicado: (2025)

Complexity analysis of quasi continuous level Monte Carlo
por: Beschle, Cedric Aaron, et al.
Publicado: (2023)

Stochastic $p$th root approximation of a stochastic matrix: A Riemannian optimization approach
por: Durastante, Fabio, et al.
Publicado: (2023)

$K_4^-$-free triple systems without large stars in the complement
por: Mubayi, Dhruv, et al.
Publicado: (2025)

Heavy-ball dynamics with Hessian-driven damping for non-convex optimization under the Łojasiewicz condition
por: Apidopoulos, Vassilis, et al.
Publicado: (2025)

Exploiting Parallelism in a QPALM-based Solver for Optimal Control
por: Pas, Pieter, et al.
Publicado: (2026)

Fast convex optimization via closed-loop time scaling of gradient dynamics
por: Attouch, Hedy, et al.
Publicado: (2023)

Convergence of Descent Optimization Algorithms under Polyak-Łojasiewicz-Kurdyka Conditions
por: Bento, G. C., et al.
Publicado: (2024)

Space-time adaptive methods for parabolic evolution equations
por: Wang, Jun, et al.
Publicado: (2025)

Greedy Adaptive Local Recovery of Functions in Sobolev Spaces
por: Schaback, Robert
Publicado: (2024)

Noise-balanced multilevel on-the-fly sparse grid surrogates for coupling Monte Carlo models into continuum models with application to heterogeneous catalysis
por: Hülser, Tobias, et al.
Publicado: (2026)

Parameter-Free Accelerated Quasi-Newton Method for Nonconvex Optimization
por: Marumo, Naoki
Publicado: (2025)

Inference of interacting kernel in the mean-field regime
por: Chen, Peiyi, et al.
Publicado: (2026)