Uncertain standard quadratic optimization under distributional assumptions: a chance-constrained epigraphic approach
Fuente:
arXiv
Saved in:
| Main Authors: | Bomze, Immanuel M., de Vicente, Daniel |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Decision-dependent distributionally robust standard quadratic optimization with Wasserstein ambiguity
by: Bomze, Immanuel M., et al.
Published: (2026)
by: Bomze, Immanuel M., et al.
Published: (2026)
Finding quadratic underestimators for optimal value functions of nonconvex all-quadratic problems via copositive optimization
by: Gabl, Markus, et al.
Published: (2024)
by: Gabl, Markus, et al.
Published: (2024)
Tighter yet more tractable relaxations and nontrivial instance generation for sparse standard quadratic optimization
by: Bomze, Immanuel, et al.
Published: (2024)
by: Bomze, Immanuel, et al.
Published: (2024)
Robust approximation of chance constrained optimization with polynomial perturbation
by: Rao, Bo, et al.
Published: (2022)
by: Rao, Bo, et al.
Published: (2022)
A dynamical neural network approach for distributionally robust chance constrained Markov decision process
by: Xia, Tian, et al.
Published: (2023)
by: Xia, Tian, et al.
Published: (2023)
On the risk levels of distributionally robust chance constrained problems
by: Heinlein, Moritz, et al.
Published: (2024)
by: Heinlein, Moritz, et al.
Published: (2024)
Solving contextual chance-constrained programming under decision-dependent uncertainty
by: Liu, Xiangting, et al.
Published: (2026)
by: Liu, Xiangting, et al.
Published: (2026)
The Maximum Clique Problem under Adversarial Uncertainty: a min-max approach
by: Bomze, Immanuel, et al.
Published: (2026)
by: Bomze, Immanuel, et al.
Published: (2026)
Globalized distributionally robust chance-constrained support vector machine based on core sets
by: Li, Yueyao, et al.
Published: (2025)
by: Li, Yueyao, et al.
Published: (2025)
Separable approximations of optimal value functions under a decaying sensitivity assumption
by: Sperl, Mario, et al.
Published: (2023)
by: Sperl, Mario, et al.
Published: (2023)
Feature selection in linear SVMs via a hard cardinality constraint: a scalable SDP decomposition approach
by: Bomze, Immanuel, et al.
Published: (2024)
by: Bomze, Immanuel, et al.
Published: (2024)
A condensing approach for linear-quadratic optimization with geometric constraints
by: De Marchi, Alberto
Published: (2025)
by: De Marchi, Alberto
Published: (2025)
A distributed augmented Lagrangian decomposition algorithm for constrained optimization
by: Guo, Wenyou, et al.
Published: (2025)
by: Guo, Wenyou, et al.
Published: (2025)
On feasibility cuts for chance-constrained multicommodity network design problems
by: Wouda, Niels A., et al.
Published: (2024)
by: Wouda, Niels A., et al.
Published: (2024)
Robust and structure exploiting optimization algorithms: An integral quadratic constraint approach
by: Michalowsky, Simon, et al.
Published: (2019)
by: Michalowsky, Simon, et al.
Published: (2019)
A constrained optimization approach to nonlinear system identification through simulation error minimization
by: Cerone, Vito, et al.
Published: (2025)
by: Cerone, Vito, et al.
Published: (2025)
Global optimization of quadratic root-difference minimization under elliptic annulus constraints
by: Yang, Meijia, et al.
Published: (2026)
by: Yang, Meijia, et al.
Published: (2026)
Tight semidefinite programming relaxations for sparse box-constrained quadratic programs
by: Khajavirad, Aida
Published: (2026)
by: Khajavirad, Aida
Published: (2026)
Convexity of chance constraints for elliptical and skewed distributions with copula structures dependent on decision variables
by: Zhang, Heng, et al.
Published: (2025)
by: Zhang, Heng, et al.
Published: (2025)
Online distributed optimization for spatio-temporally constrained real-time peer-to-peer energy trading
by: Liu, Junhong, et al.
Published: (2025)
by: Liu, Junhong, et al.
Published: (2025)
A constrained optimization approach to improve robustness of neural networks
by: Zhao, Shudian, et al.
Published: (2024)
by: Zhao, Shudian, et al.
Published: (2024)
A note on stationarity in constrained optimization
by: Pauwels, Edouard
Published: (2024)
by: Pauwels, Edouard
Published: (2024)
Feedback control of Lagrange multipliers for non-smooth constrained optimization
by: Cerone, V., et al.
Published: (2026)
by: Cerone, V., et al.
Published: (2026)
A scalable mixed-integer conic optimization approach to cardinality-constrained Poisson regression with safe screening
by: Kurihara, Kota, et al.
Published: (2025)
by: Kurihara, Kota, et al.
Published: (2025)
New second-order optimality conditions for directional optimality of a general set-constrained optimization problem
by: Ouyang, Wei, et al.
Published: (2024)
by: Ouyang, Wei, et al.
Published: (2024)
Online convex optimization for constrained control of nonlinear systems
by: Nonhoff, Marko, et al.
Published: (2024)
by: Nonhoff, Marko, et al.
Published: (2024)
Uncertainty relation and the constrained quadratic programming
by: Zhang, Lin, et al.
Published: (2024)
by: Zhang, Lin, et al.
Published: (2024)
Existence of optimal pairs for optimal control problems with states constrained to Riemannian manifolds
by: Deng, Li, et al.
Published: (2024)
by: Deng, Li, et al.
Published: (2024)
Discrete-time linear quadratic stochastic control with equality-constrained inputs: Application to energy demand response
by: Seugnet, Leo, et al.
Published: (2026)
by: Seugnet, Leo, et al.
Published: (2026)
Exact augmented Lagrangians for constrained optimization problems in Hilbert spaces I: Theory
by: Dolgopolik, M. V.
Published: (2022)
by: Dolgopolik, M. V.
Published: (2022)
Exact augmented Lagrangians for constrained optimization problems in Hilbert spaces II: Applications
by: Dolgopolik, M. V.
Published: (2023)
by: Dolgopolik, M. V.
Published: (2023)
Riemannian optimal reduction for linear systems with quadratic outputs
by: Wang, Xiaolong, et al.
Published: (2026)
by: Wang, Xiaolong, et al.
Published: (2026)
Exact algorithms for quadratic optimization over roots of unity
by: Al-Sulami, Ahmad, et al.
Published: (2025)
by: Al-Sulami, Ahmad, et al.
Published: (2025)
Mini-batch stochastic subgradient for functional constrained optimization
by: Singh, Nitesh Kumar, et al.
Published: (2024)
by: Singh, Nitesh Kumar, et al.
Published: (2024)
Adaptive directional decomposition methods for nonconvex constrained optimization
by: Shi, Qiankun, et al.
Published: (2025)
by: Shi, Qiankun, et al.
Published: (2025)
Calm local optimality for couple-constrained minimax problems
by: Ma, Xiaoxiao, et al.
Published: (2025)
by: Ma, Xiaoxiao, et al.
Published: (2025)
Efficient search strategies for constrained multiobjective blackbox optimization
by: Digabel, Sébastien Le, et al.
Published: (2025)
by: Digabel, Sébastien Le, et al.
Published: (2025)
A new framework for constrained optimization via feedback control of Lagrange multipliers
by: Cerone, V., et al.
Published: (2024)
by: Cerone, V., et al.
Published: (2024)
Achieving violation-free distributed optimization under coupling constraints
by: Liu, Changxin, et al.
Published: (2024)
by: Liu, Changxin, et al.
Published: (2024)
Online convex optimization for robust control of constrained dynamical systems
by: Nonhoff, Marko, et al.
Published: (2024)
by: Nonhoff, Marko, et al.
Published: (2024)
Similar Items
-
Decision-dependent distributionally robust standard quadratic optimization with Wasserstein ambiguity
by: Bomze, Immanuel M., et al.
Published: (2026) -
Finding quadratic underestimators for optimal value functions of nonconvex all-quadratic problems via copositive optimization
by: Gabl, Markus, et al.
Published: (2024) -
Tighter yet more tractable relaxations and nontrivial instance generation for sparse standard quadratic optimization
by: Bomze, Immanuel, et al.
Published: (2024) -
Robust approximation of chance constrained optimization with polynomial perturbation
by: Rao, Bo, et al.
Published: (2022) -
A dynamical neural network approach for distributionally robust chance constrained Markov decision process
by: Xia, Tian, et al.
Published: (2023)