Image de couverture de livre

Smoothed Moreau-Yosida Tensor Train Approximation of State-constrained Optimization Problems under Uncertainty

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Antil, Harbir, Dolgov, Sergey, Onwunta, Akwum
Format:	Preprint
Publié:	2023
Sujets:	Optimization and Control Numerical Analysis
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Smoothed Moreau‐Yosida Tensor‐Train Approximation of State‐Constrained Optimization Problems Under Uncertainty
par: Harbir Antil, et autres
Publié: (2025)

Tensor train solution to uncertain optimization problems with shared sparsity penalty
par: Antil, Harbir, et autres
Publié: (2024)

Mathematical Opportunities in Digital Twins (MATH-DT)
par: Antil, Harbir
Publié: (2024)

Elliptic Reconstruction and A Posteriori Error Estimates for Parabolic Variational Inequalities
par: Antil, Harbir, et autres
Publié: (2024)

Fisher-Information-Based Sensor Placement for Structural Digital Twins: Analytic Results and Benchmarks
par: Antil, Harbir, et autres
Publié: (2026)

Exterior Nonlocal Variational Inequalities
par: Antil, Harbir, et autres
Publié: (2024)

Structure-Preserving Optimal Control of Maxwell's Equations with Applications to Source Cloaking
par: Antil, Harbir, et autres
Publié: (2026)

Complexity analysis of regularization methods for implicitly constrained least squares
par: Onwunta, Akwum, et autres
Publié: (2023)

A Multigrid Preconditioner for Tensor Product Spline Smoothing
par: Siebenborn, Martin, et autres
Publié: (2019)

Duality-Based Algorithm and Numerical Analysis for Optimal Insulation Problems on Non-Smooth Domains
par: Antil, Harbir, et autres
Publié: (2025)

Well-Posedness and Approximation of Weak Solutions to Time Dependent Maxwell's Equations with $L^2$-Data
par: Antil, Harbir
Publié: (2025)

The Rank-1 Completion Problem for Cubic Tensors
par: Zhou, Jinling, et autres
Publié: (2024)

Block Matrix and Tensor Randomized Kaczmarz Methods for Linear Feasibility Problems
par: Zhang, Minxin, et autres
Publié: (2024)

A Generic MATLAB Toolbox to Approximate PDEs Using Computational Geometry
par: Green, Kiefer, et autres
Publié: (2024)

A Framework for Approximating Perturbed Optimal Control Problems
par: Link, Riley, et autres
Publié: (2024)

High-dimensional Optimization with Low Rank Tensor Sampling and Local Search
par: Sozykin, Konstantin, et autres
Publié: (2025)

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

Proximal Gradient-based Low Rank Tensor Decomposition for State Dependent Riccati Equation
par: Jiang, Jiahua, et autres
Publié: (2026)

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

Computing cone-constrained singular values of matrices
par: Barbarino, Giovanni, et autres
Publié: (2025)

Variational Tensor-Product Splines
par: Guillemet, Vincent, et autres
Publié: (2025)

Stochastic Galerkin Method and Hierarchical Preconditioning for PDE-constrained Optimization
par: Li, Zhendong, et autres
Publié: (2025)

A multigrid solver for PDE-constrained optimization with uncertain inputs
par: Ciaramella, Gabriele, et autres
Publié: (2023)

IETI-based Low-Rank method for PDE-constrained optimization
par: Bünger, Alexandra, et autres
Publié: (2024)

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

Efficient Solution of State-Constrained Distributed Parabolic Optimal Control Problems
par: Löscher, Richard, et autres
Publié: (2024)

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

Fast and Provable Tensor-Train Format Tensor Completion via Precondtioned Riemannian Gradient Descent
par: Bian, Fengmiao, et autres
Publié: (2025)

From PDEs constrained optimization to controllability problems via time domain decomposition
par: Cocquet, Pierre-Henri, et autres
Publié: (2026)

Preconditioned iterative solvers for constrained high-order implicit shock tracking methods
par: Vandergrift, Jakob, et autres
Publié: (2024)

Rank One Completion for Higher Order Tensors
par: Zhang, Linghao, et autres
Publié: (2026)

Approximate Vertex Enumeration
par: Löhne, Andreas
Publié: (2020)

Nyström Approximation on Manifolds
par: Nie, Hantao, et autres
Publié: (2026)

An algorithm for a constrained P-spline
par: Campagna, Rosanna, et autres
Publié: (2025)

Stochastic dual coordinate descent with adaptive heavy ball momentum for linearly constrained convex optimization
par: Zeng, Yun, et autres
Publié: (2023)

An unfitted finite element method for PDE-constrained shape optimization via shape gradient flow
par: Gong, Wei, et autres
Publié: (2026)

Fast-forwarding quantum algorithms for linear dissipative differential equations
par: An, Dong, et autres
Publié: (2024)

Tensor-based empirical interpolation method and its application in model reduction
par: Tripathi, Brij Nandan, et autres
Publié: (2024)

Scalable Approximate Optimal Diagonal Preconditioning
par: Gao, Wenzhi, et autres
Publié: (2023)

Primal-dual interior-point algorithm for linearly constrained convex optimization based on a parametric algebraic transformation
par: Kraria, Aicha, et autres
Publié: (2024)