Image de couverture de livre

On Tail Decay and Moment Estimates of a Condition Number for Random Linear Conic Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cheung, Dennis, Cucker, Felipe, Hauser, Raphael
Format:	Preprint
Publié:	2003
Sujets:	Numerical Analysis Optimization and Control 90C31,15A52 (Primary); 90C05,90C60,62H10 (Secondary)
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Semi-Monotone Goldstein Line Search Strategy with Application in Sparse Recovery
par: Shabani, Shima, et autres
Publié: (2025)

Average-case thresholds for exact regularization of linear programs
par: Friedlander, Michael P., et autres
Publié: (2025)

The Geometry of Linear Program Compression: An Exact Characterization and Learning Algorithm
par: Ye, Yuhan, et autres
Publié: (2026)

Solving Regularized Multifacility Location Problems with Unknown Number of Centers via Difference-of-Convex Optimization
par: Geremew, W., et autres
Publié: (2026)

Applying Data Driven Decision Making to rank Vocational and Educational Training Programs with TOPSIS
par: Conejero, J. M., et autres
Publié: (2024)

Learning Decision-Sufficient Representations for Linear Optimization
par: Ye, Yuhan, et autres
Publié: (2026)

Exponential Conic Optimization for Multi-Regime Service System Design under Congestion and Tail-Risk Control
par: Blanco, Víctor, et autres
Publié: (2026)

Bayesian Multi-Topology Express Transportation Network Design under Posterior Predictive Demand, Sorting-Efficiency and Delivery-Time Uncertainty
par: Chatterjee, Debashis
Publié: (2026)

Low solution rank of the matrix LASSO under RIP with consequences for rank-constrained algorithms
par: McRae, Andrew D.
Publié: (2024)

Revisiting the Geometrically Decaying Step Size: Linear Convergence for Smooth or Non-Smooth Functions
par: Kim, Jihun
Publié: (2025)

The Non-Substitution Theorem, Uniqueness of Solution and Convex combinations of basic optimal solutions for linear optimization
par: Lahiri, Somdeb
Publié: (2024)

A Level Set Method with Secant Iterations for the Least-Squares Constrained Nuclear Norm Minimization
par: Ma, Chiyu, et autres
Publié: (2026)

An augmented Lagrangian method for strongly regular minimizers in a class of convex composite optimization problems
par: Wang, Chengjing, et autres
Publié: (2025)

Perturbation analysis of a class of composite optimization problems
par: Tang, Peipei, et autres
Publié: (2024)

On the existence and the stability of solutions in nonconvex vector optimization
par: Van Nghi, Tran, et autres
Publié: (2025)

Approximate optimality conditions and sensitivity analysis in nearly convex optimization
par: Van Tuyen, Nguyen, et autres
Publié: (2024)

Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems
par: Chowdhary, Abhijit, et autres
Publié: (2023)

Linear Decision Tree Policies for Integer Linear Programs
par: Guyard, Théo, et autres
Publié: (2026)

A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach
par: Monteiro, Renato D. C., et autres
Publié: (2024)

Zeroth-order Random Subspace Algorithm for Non-smooth Convex Optimization
par: Nozawa, Ryota, et autres
Publié: (2024)

Finding Short Paths on Simple Polytopes
par: Black, Alexander E., et autres
Publié: (2026)

Generalized Reduced Jacobian Method
par: Maghri, M. El, et autres
Publié: (2025)

Computational complexity of sum-of-squares bounds for copositive programs
par: Palomba, Marilena, et autres
Publié: (2025)

Aubin Property and Strong Regularity Are Equivalent for Nonlinear Second-Order Cone Programming
par: Chen, Liang, et autres
Publié: (2024)

Continuity in Parametric Linear Programming
par: Lahiri, Somdeb
Publié: (2024)

Optimal Dorfman Group Testing for Symmetric Distributions
par: Landolfi, Nicholas C., et autres
Publié: (2023)

Lagrange Multipliers, Duality, and Sensitivity in Set-Valued Convex Programming via Pointed Closed Convex Processes
par: García-Castaño, Fernando, et autres
Publié: (2024)

A Set-Valued Lagrange Theorem based on a Process for Convex Vector Programming
par: García-Castaño, Fernando, et autres
Publié: (2024)

Stochastic dynamic programming with non-linear discounting
par: Bäuerle, Nicole, et autres
Publié: (2020)

New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications
par: Wang, Xuejie, et autres
Publié: (2023)

Further Development in Convex Conic Reformulation of Geometric Nonconvex Conic Optimization Problems
par: Arima, Naohiko, et autres
Publié: (2023)

The Geometry and Well-Posedness of Sparse Regularized Linear Regression
par: Everink, Jasper Marijn, et autres
Publié: (2024)

Time-Varying Semidefinite Programming: Path Following a Burer-Monteiro Factorization
par: Bellon, Antonio, et autres
Publié: (2022)

RA-DCA: A Randomized Active-Set DCA for Directional Stationarity in Max-Structured DC Programs
par: Niu, Yi-Shuai
Publié: (2026)

Subgradient Regularization: A Descent-Oriented Subgradient Method for Nonsmooth Optimization
par: Li, Hanyang, et autres
Publié: (2025)

A fresh look into variational analysis of $\mathcal C^2$-partly smooth functions
par: Hang, Nguyen T. V., et autres
Publié: (2024)

On the growth of nonconvex functionals at strict local minimizers
par: Corella, Alberto Domínguez, et autres
Publié: (2024)

Qualitative and Generalized Differentiation Properties of Optimal Value Functions with Applications to Duality
par: Long, V. S. T., et autres
Publié: (2025)

The Least Singular Value Function in Variational Analysis
par: Jelitte, Mario, et autres
Publié: (2025)

Riemannian Gradient Method with Momentum
par: Leggio, Filippo, et autres
Publié: (2026)