Saved in:
| Main Authors: | Jin, Ruhui, Li, Qin, Mussmann, Stephen O., Wright, Stephen J. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.14332 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal design for linear models via gradient flow
by: Jin, Ruhui, et al.
Published: (2024)
by: Jin, Ruhui, et al.
Published: (2024)
Data selection: at the interface of PDE-based inverse problem and randomized linear algebra
by: Hellmuth, Kathrin, et al.
Published: (2025)
by: Hellmuth, Kathrin, et al.
Published: (2025)
Learning physics-based reduced-order models from data using nonlinear manifolds
by: Geelen, Rudy, et al.
Published: (2023)
by: Geelen, Rudy, et al.
Published: (2023)
On the variational dual formulation of the Nash system and an adaptive convex gradient-flow approach to nonlinear PDEs
by: Vorotnikov, Dmitry, et al.
Published: (2025)
by: Vorotnikov, Dmitry, et al.
Published: (2025)
Overparameterization of deep ResNet: zero loss and mean-field analysis
by: Ding, Zhiyan, et al.
Published: (2021)
by: Ding, Zhiyan, et al.
Published: (2021)
Error estimates for numerical approximations of a nonlinear gradient flow model
by: Droniou, Jerome, et al.
Published: (2025)
by: Droniou, Jerome, et al.
Published: (2025)
An adaptive space-time method for nonlinear poroviscoelastic flows with discontinuous porosities
by: Bachmayr, Markus, et al.
Published: (2024)
by: Bachmayr, Markus, et al.
Published: (2024)
A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks
by: Chen, Shi, et al.
Published: (2021)
by: Chen, Shi, et al.
Published: (2021)
A high-order, high-efficiency adaptive time filter algorithm for shale reservoir model based on coupled fluid flow with porous media flow
by: Li, Jian, et al.
Published: (2024)
by: Li, Jian, et al.
Published: (2024)
Numerical validation of an adaptive model for the determination of nonlinear-flow regions in highly heterogeneous porous media
by: Fumagalli, Alessio, et al.
Published: (2024)
by: Fumagalli, Alessio, et al.
Published: (2024)
Unique reconstruction for discretized inverse problems: a random sketching approach via subsampling
by: Jin, Ruhui, et al.
Published: (2024)
by: Jin, Ruhui, et al.
Published: (2024)
Tensor train methods for high-dimensional nonlinear filtering problems with correlated noise
by: Meng, Yuhua, et al.
Published: (2026)
by: Meng, Yuhua, et al.
Published: (2026)
Effects of Finite-Precision Arithmetic on Interior-Point Methods for Nonlinear Programming
by: Wright, Stephen J.
Published: (2001)
by: Wright, Stephen J.
Published: (2001)
Convergence analysis of $L^{p+1}$-normalized gradient flow for action ground state of nonlinear Schrödinger equation
by: Liu, Wei, et al.
Published: (2026)
by: Liu, Wei, et al.
Published: (2026)
A novel Lagrange Multiplier approach with relaxation for gradient flows
by: Liu, Zhengguang, et al.
Published: (2022)
by: Liu, Zhengguang, et al.
Published: (2022)
On a linear DG approximation of chemotaxis models with damping gradient nonlinearities
by: Acosta-Soba, Daniel, et al.
Published: (2025)
by: Acosta-Soba, Daniel, et al.
Published: (2025)
Non-intrusive optimal experimental design for large-scale nonlinear Bayesian inverse problems using a Bayesian approximation error approach
by: Koval, Karina, et al.
Published: (2024)
by: Koval, Karina, et al.
Published: (2024)
Average block nonlinear Kaczmarz methods with adaptive momentum for nonlinear systems of equations
by: Ding, Renjie, et al.
Published: (2026)
by: Ding, Renjie, et al.
Published: (2026)
An adaptive heavy ball method for ill-posed inverse problems
by: Jin, Qinian, et al.
Published: (2024)
by: Jin, Qinian, et al.
Published: (2024)
Dual gradient flow for solving linear ill-posed problems in Banach spaces
by: Jin, Qinian, et al.
Published: (2022)
by: Jin, Qinian, et al.
Published: (2022)
Energy stable neural network for gradient flow equations
by: Wu, Yue, et al.
Published: (2023)
by: Wu, Yue, et al.
Published: (2023)
The explicit constraint force method for optimal experimental design
by: Rowan, Conor
Published: (2026)
by: Rowan, Conor
Published: (2026)
A stochastic column-block gradient descent method for solving nonlinear systems of equations
by: Jiang, Naiyu, et al.
Published: (2025)
by: Jiang, Naiyu, et al.
Published: (2025)
Optimal experimental design: Formulations and computations
by: Huan, Xun, et al.
Published: (2024)
by: Huan, Xun, et al.
Published: (2024)
A quasi-Grassmannian gradient flow model for eigenvalue problems
by: Wang, Shengyue, et al.
Published: (2025)
by: Wang, Shengyue, et al.
Published: (2025)
A fast neural hybrid Newton solver adapted to implicit methods for nonlinear dynamics
by: Jin, Tianyu, et al.
Published: (2024)
by: Jin, Tianyu, et al.
Published: (2024)
Predicting nonlinear-flow regions in highly heterogeneous porous media using adaptive constitutive laws and neural networks
by: Giovannini, Chiara, et al.
Published: (2024)
by: Giovannini, Chiara, et al.
Published: (2024)
Ensemble Kalman Inversion for nonlinear problems: weights, consistency, and variance bounds
by: Ding, Zhiyan, et al.
Published: (2020)
by: Ding, Zhiyan, et al.
Published: (2020)
Energy diminishing implicit-explicit Runge--Kutta methods for gradient flows
by: Fu, Zhaohui, et al.
Published: (2022)
by: Fu, Zhaohui, et al.
Published: (2022)
Mathematical modeling and numerical multigoal-oriented a posteriori error control and adaptivity for a stationary, nonlinear, coupled flow temperature model with temperature dependent density
by: Beuchler, Sven, et al.
Published: (2024)
by: Beuchler, Sven, et al.
Published: (2024)
Multilevel Picard algorithm for general semilinear parabolic PDEs with gradient-dependent nonlinearities
by: Neufeld, Ariel, et al.
Published: (2023)
by: Neufeld, Ariel, et al.
Published: (2023)
Constraint Identification and Algorithm Stabilization for Degenerate Nonlinear Programs
by: Wright, Stephen J.
Published: (2000)
by: Wright, Stephen J.
Published: (2000)
Parametric design and adaptive sizing of lattice structures for 3d additive manufacturing
by: Mercado-Colmenero, Jorge Manuel, et al.
Published: (2025)
by: Mercado-Colmenero, Jorge Manuel, et al.
Published: (2025)
Diffusive transport on the real line: semi-contractive gradient flows and their discretization
by: Matthes, Daniel, et al.
Published: (2025)
by: Matthes, Daniel, et al.
Published: (2025)
Improved scalar auxiliary variable schemes for original energy stability of gradient flows
by: Chen, RUi, et al.
Published: (2024)
by: Chen, RUi, et al.
Published: (2024)
Conformal variational discretisation of infinite dimensional Hamiltonian systems with gradient flow dissipation
by: Lombardi, Damiano, et al.
Published: (2024)
by: Lombardi, Damiano, et al.
Published: (2024)
A gradient flow model for the Gross--Pitaevskii problem: Mathematical and numerical analysis
by: Chu, Tianyang, et al.
Published: (2025)
by: Chu, Tianyang, et al.
Published: (2025)
Hyper-differential sensitivity analysis with respect to model discrepancy: Sequential optimal experimental design
by: Madhavan, Madhusudan, et al.
Published: (2026)
by: Madhavan, Madhusudan, et al.
Published: (2026)
A parallel space-time $p$-adaptive discontinuous Galerkin method for nonlinear acoustics
by: Corallo, Daniele, et al.
Published: (2026)
by: Corallo, Daniele, et al.
Published: (2026)
Bayesian optimal experimental design with Wasserstein information criteria
by: Helin, Tapio, et al.
Published: (2025)
by: Helin, Tapio, et al.
Published: (2025)
Similar Items
-
Optimal design for linear models via gradient flow
by: Jin, Ruhui, et al.
Published: (2024) -
Data selection: at the interface of PDE-based inverse problem and randomized linear algebra
by: Hellmuth, Kathrin, et al.
Published: (2025) -
Learning physics-based reduced-order models from data using nonlinear manifolds
by: Geelen, Rudy, et al.
Published: (2023) -
On the variational dual formulation of the Nash system and an adaptive convex gradient-flow approach to nonlinear PDEs
by: Vorotnikov, Dmitry, et al.
Published: (2025) -
Overparameterization of deep ResNet: zero loss and mean-field analysis
by: Ding, Zhiyan, et al.
Published: (2021)