Image de couverture de livre

Convergence Analysis of an Adaptive Nonconforming FEM for Phase-Field Dependent Topology Optimization in Stokes Flow

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jin, Bangti, Li, Jing, Xu, Yifeng, Zhu, Shengfeng
Format:	Preprint
Publié:	2025
Sujets:	Numerical Analysis Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On the Crouzeix-Raviart Finite Element Approximation of Phase-Field Dependent Topology Optimization in Stokes Flow
par: Jin, Bangti, et autres
Publié: (2025)

An Adaptive Phase-Field Method for Structural Topology Optimization
par: Jin, Bangti, et autres
Publié: (2023)

A Unified Phase-Field Fourier Neural Network Framework for Topology Optimization
par: Li, Jing, et autres
Publié: (2025)

Adaptive Approximations of Inclusions in a Semilinear Elliptic Problem Related to Cardiac Electrophysiology
par: Jin, Bangti, et autres
Publié: (2025)

On the Crouzeix‐Raviart Finite Element Approximation of Phase‐Field Dependent Topology Optimization in Stokes Flow
par: Bangti Jin, et autres
Publié: (2025)

On the convergence of stochastic variance reduced gradient for linear inverse problems
par: Jin, Bangti, et autres
Publié: (2025)

Global Convergence and Error Propagation in Neural Gradient Flows: A Riemannian Optimization Framework
par: Zheng, Shixin, et autres
Publié: (2026)

Bioluminescence tomography via a shape optimization method based on a complex-valued model
par: Wu, Qianqian, et autres
Publié: (2025)

Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
par: Jin, Qiujiang, et autres
Publié: (2025)

Solving Elliptic Optimal Control Problems via Neural Networks and Optimality System
par: Dai, Yongcheng, et autres
Publié: (2023)

Convergent Proximal Multiblock ADMM for Nonconvex Dynamics-Constrained Optimization
par: Li, Bowen, et autres
Publié: (2025)

MAGPIE: Multilevel-Adaptive-Guided Solver for Ptychographic Phase Retrieval
par: Zhang, Borong, et autres
Publié: (2025)

Distributionally Robust Shape and Topology Optimization
par: Dapogny, Charles, et autres
Publié: (2025)

An Abstract Lyapunov Control Optimizer: Local Stabilization and Global Convergence
par: Bensaid, Bilel, et autres
Publié: (2024)

An Alternating Direction Method of Multipliers for Topology Optimization
par: Choudhary, Harsh, et autres
Publié: (2025)

Discrete Variable Topology Optimization Using Multi-Cut Formulation and Adaptive Trust Regions
par: Ye, Zisheng, et autres
Publié: (2024)

Parallel-in-Time Preconditioning for Time-Dependent Variational Mean Field Games
par: Ljósheim, Heidi Wolles, et autres
Publié: (2025)

Convergence analysis of a stochastic heavy-ball method for linear ill-posed problems
par: Jin, Qinian, et autres
Publié: (2024)

A better compression driver? CutFEM 3D shape optimization taking viscothermal losses into account
par: Berggren, Martin, et autres
Publié: (2024)

Global Convergence of High-Order Regularization Methods with Sums-of-Squares Taylor Models
par: Zhu, Wenqi, et autres
Publié: (2024)

Traffic Flow Data Completion and Anomaly Diagnosis via Sparse and Low-Rank Tensor Optimization
par: Man, Junxi, et autres
Publié: (2025)

A Simple Introduction to the SiMPL Method for Density-Based Topology Optimization
par: Kim, Dohyun, et autres
Publié: (2024)

Adaptive Computation of Elliptic Eigenvalue Topology Optimization with a Phase-Field Approach
par: Li, Jing, et autres
Publié: (2023)

Convergence Analysis for A Stochastic Maximum Principle Based Data Driven Feedback Control Algorithm
par: Liang, Siming, et autres
Publié: (2024)

Numerical Analysis on Neural Network Projected Schemes for Approximating One Dimensional Wasserstein Gradient Flows
par: Zuo, Xinzhe, et autres
Publié: (2024)

R-Adaptive Mesh Optimization to Enhance Finite Element Basis Compression
par: Harper, Graham, et autres
Publié: (2024)

Discrete Mean Field Games on Finite Graphs as Initial Value Optimization
par: Feng, Yaxin, et autres
Publié: (2026)

Convergence Analysis of the Upwind Difference Methods for Hamilton-Jacobi-Bellman Equations
par: Inoue, Daisuke, et autres
Publié: (2023)

The State-Dependent Riccati Equation in Nonlinear Optimal Control: Analysis, Error Estimation and Numerical Approximation
par: Saluzzi, Luca
Publié: (2025)

A New Fast Adaptive Linearized Alternating Direction Multiplier Method for Convex Optimization
par: Wang, Boran
Publié: (2024)

Inverse problem for the Navier-Stokes equations and identification of immersed obstacles in the Mediterranean Sea
par: Hrizi, Mourad, et autres
Publié: (2025)

Quantitative Convergences of Lie Group Momentum Optimizers
par: Kong, Lingkai, et autres
Publié: (2024)

Tight Convergence Rates in Gradient Mapping for the Difference-of-Convex Algorithm
par: Rotaru, Teodor, et autres
Publié: (2025)

A finite element scheme for an optimal control problem on steady Navier-Stokes-Brinkman equations
par: Araneda, Jorge Aguayo, et autres
Publié: (2025)

Bilinear optimal control for the Stokes-Brinkman equations: a priori and a posteriori error analyses
par: Allendes, Alejandro, et autres
Publié: (2024)

Convergence of differentiable non-monotone schemes for fully nonlinear parabolic equations
par: Nakano, Yumiharu
Publié: (2018)

A Derivative-Free Saddle-search Algorithm With Linear Convergence Rate
par: Du, Qiang, et autres
Publié: (2026)

Quasi-Steady-State Approach for Efficient Multiscale Simulation and Optimization of mAb Glycosylation in CHO Cell Culture
par: Ma, Yingjie, et autres
Publié: (2024)

Convergence analysis of Lie and Strang splitting for operator-valued differential Riccati equations
par: Hansen, Eskil, et autres
Publié: (2025)

Convergence of a particle method for gradient flows on the $L^p$-Wasserstein space
par: Lei, Rong
Publié: (2025)