:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bogosel, Beniamin, Bucur, Dorin
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis Optimization and Control
Online Access:	https://arxiv.org/abs/2406.11575
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimal Finsler-Hadwiger inequalities
by: Bogosel, Beniamin
Published: (2025)

A reverse isoperimetric inequality for convex shapes with inclusion constraint
by: Bogosel, Beniamin
Published: (2024)

Is the Faber-Krahn inequality true for the Stokes operator?
by: Henrot, Antoine, et al.
Published: (2024)

Shape optimization under width constraint: the Cheeger constant and the torsional rigidity
by: Bogosel, Beniamin
Published: (2025)

Optimisation of space-time periodic eigenvalues
by: Bogosel, Beniamin, et al.
Published: (2025)

A note on the failure of the Faber-Krahn inequality for the vector Laplacian
by: Krejcirik, David, et al.
Published: (2024)

Optimization of Neumann Eigenvalues under convexity and geometric constraints
by: Bogosel, Beniamin, et al.
Published: (2024)

New variational arguments regarding the Blaschke-Lebesgue theorem
by: Bogosel, Beniamin
Published: (2024)

Reverse Faber-Krahn inequalities for Zaremba problems
by: Anoop, T. V., et al.
Published: (2022)

Regularized methods via cubic model subspace minimization for nonconvex optimization
by: Bellavia, Stefania, et al.
Published: (2023)

Improving the robustness of neural ODEs with minimal weight perturbation
by: De Marinis, Arturo, et al.
Published: (2025)

An inertial minimal-deformation-rate framework for shape optimization
by: Chen, Falai, et al.
Published: (2026)

Characterizing and computing solutions to regularized semi-discrete optimal transport via an ordinary differential equation
by: Nenna, Luca, et al.
Published: (2025)

Reverse Faber-Krahn inequality for the $p$-Laplacian in Hyperbolic space
by: Ghosh, Mrityunjoy, et al.
Published: (2022)

A perturbed preconditioned gradient descent method for the unconstrained minimization of composite objectives
by: Park, Jea-Hyun, et al.
Published: (2025)

The latent variable proximal point algorithm for variational problems with inequality constraints
by: Dokken, Jørgen S., et al.
Published: (2025)

Numerical analysis of a first-order computational algorithm for reaction-diffusion equations via the primal-dual hybrid gradient method
by: Liu, Shu, et al.
Published: (2024)

A multilevel stochastic regularized first-order method with application to finite sum minimization
by: Marini, Filippo, et al.
Published: (2024)

A neural network approach to learning solutions of a class of elliptic variational inequalities
by: Alphonse, Amal, et al.
Published: (2024)

Tensor-based Dinkelbach method for computing generalized tensor eigenvalues and its applications
by: Chen, Haibin, et al.
Published: (2025)

Optimal local linear convergence of Nesterov's accelerated gradient method for $C^2$ functions under the Polyak--Łojasiewicz inequality
by: Feng, Zixu, et al.
Published: (2026)

An acceleration technique for methods for finding the nearest point in a polytope and computing the distance between two polytopes
by: Dolgopolik, M. V.
Published: (2022)

Numerical computation of generalized Wasserstein distances with applications to traffic model analysis
by: Briani, Maya, et al.
Published: (2024)

An Abstract Lyapunov Control Optimizer: Local Stabilization and Global Convergence
by: Bensaid, Bilel, et al.
Published: (2024)

High-dimensional Optimization with Low Rank Tensor Sampling and Local Search
by: Sozykin, Konstantin, et al.
Published: (2025)

Generalized pair-wise logit dynamic and its connection to a mean field game: theoretical and computational investigations focusing on resource management
by: Yoshioka, Hidekazu, et al.
Published: (2024)

Anderson Acceleration in Nonsmooth Problems: Local Convergence via Active Manifold Identification
by: Li, Kexin, et al.
Published: (2024)

Understanding the PDHG Algorithm via High-Resolution Differential Equations
by: Li, Bowen, et al.
Published: (2024)

Understanding the ADMM Algorithm via High-Resolution Differential Equations
by: Li, Bowen, et al.
Published: (2024)

Low-Discrepancy Set Post-Processing via Gradient Descent
by: Clément, François, et al.
Published: (2025)

Automatic discovery of optimal meta-solvers via multi-objective optimization
by: Lee, Youngkyu, et al.
Published: (2024)

Inference of Heterogeneous Material Properties via Infinite-Dimensional Integrated DIC
by: Kirchhoff, Joseph, et al.
Published: (2024)

From PDEs constrained optimization to controllability problems via time domain decomposition
by: Cocquet, Pierre-Henri, et al.
Published: (2026)

A Fast and Robust Reformulation of the UVN-Flash Problem via Direct Entropy Maximization
by: Kumar, Pardeep, et al.
Published: (2025)

Optimal Design of Broadband Absorbers with Multiple Plasmonic Nanoparticles via Reduced Basis Method
by: Gao, Yu, et al.
Published: (2025)

On the global complexity of a derivative-free Levenberg-Marquardt algorithm via orthogonal spherical smoothing
by: Chen, Xi, et al.
Published: (2024)

Bioluminescence tomography via a shape optimization method based on a complex-valued model
by: Wu, Qianqian, et al.
Published: (2025)

Fast convergence of trust-regions for non-isolated minima via analysis of CG on indefinite matrices
by: Rebjock, Quentin, et al.
Published: (2023)

Traffic Flow Data Completion and Anomaly Diagnosis via Sparse and Low-Rank Tensor Optimization
by: Man, Junxi, et al.
Published: (2025)

An unfitted finite element method for PDE-constrained shape optimization via shape gradient flow
by: Gong, Wei, et al.
Published: (2026)