Pages that link to "Item:Q484139"
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The following pages link to Convex proximal bundle methods in depth: a unified analysis for inexact oracles (Q484139):
Displaying 50 items.
- A doubly stabilized bundle method for nonsmooth convex optimization (Q263188) (← links)
- Level bundle methods for constrained convex optimization with various oracles (Q404512) (← links)
- A characterization of the subdifferential of singular Gaussian distribution functions (Q494871) (← links)
- Nonanticipative duality, relaxations, and formulations for chance-constrained stochastic programs (Q517291) (← links)
- A discussion of probability functions and constraints from a variational perspective (Q829489) (← links)
- Probabilistic optimization via approximate \(p\)-efficient points and bundle methods (Q1652036) (← links)
- An approximate redistributed proximal bundle method with inexact data for minimizing nonsmooth nonconvex functions (Q1665008) (← links)
- Generalisations, examples, and counter-examples in analysis and optimisation. \textit{In honour of Michel Théra at 70} (Q1679584) (← links)
- A method for convex minimization based on translated first-order approximations (Q1681778) (← links)
- A proximal bundle method for constrained nonsmooth nonconvex optimization with inexact information (Q1704913) (← links)
- Target radius methods for nonsmooth convex optimization (Q1728379) (← links)
- Large-scale unit commitment under uncertainty: an updated literature survey (Q1730531) (← links)
- A feasible point method with bundle modification for nonsmooth convex constrained optimization (Q1753350) (← links)
- Penalized sample average approximation methods for stochastic programs in economic and secure dispatch of a power system (Q1789576) (← links)
- Regularized decomposition of large scale block-structured robust optimization problems (Q1789623) (← links)
- Approximations in proximal bundle methods and decomposition of convex programs (Q1893328) (← links)
- A filter proximal bundle method for nonsmooth nonconvex constrained optimization (Q2022218) (← links)
- A new method based on the proximal bundle idea and gradient sampling technique for minimizing nonsmooth convex functions (Q2023656) (← links)
- Decomposition and shortest path problem formulation for solving the hydro unit commitment and scheduling in a hydro valley (Q2030657) (← links)
- Resource allocation for contingency planning: an inexact proximal bundle method for stochastic optimization (Q2030665) (← links)
- A new restricted memory level bundle method for constrained convex nonsmooth optimization (Q2080833) (← links)
- Revisiting augmented Lagrangian duals (Q2097636) (← links)
- A multi-step doubly stabilized bundle method for nonsmooth convex optimization (Q2177698) (← links)
- Alternating forward-backward splitting for linearly constrained optimization problems (Q2191282) (← links)
- A regularized smoothing method for fully parameterized convex problems with applications to convex and nonconvex two-stage stochastic programming (Q2230935) (← links)
- Proximal bundle methods for nonsmooth DC programming (Q2274891) (← links)
- On level regularization with normal solutions in decomposition methods for multistage stochastic programming problems (Q2322551) (← links)
- Large-scale unit commitment under uncertainty (Q2351161) (← links)
- Inexact stabilized Benders' decomposition approaches with application to chance-constrained problems with finite support (Q2374364) (← links)
- Uncontrolled inexact information within bundle methods (Q2397754) (← links)
- A comparison of four approaches from stochastic programming for large-scale unit-commitment (Q2397759) (← links)
- Computing proximal points of convex functions with inexact subgradients (Q2413568) (← links)
- A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems (Q2414914) (← links)
- A simple version of bundle method with linear programming (Q2419511) (← links)
- Fast bundle-level methods for unconstrained and ball-constrained convex optimization (Q2419544) (← links)
- Prices stabilization for inexact unit-commitment problems (Q2636928) (← links)
- A strongly convergent proximal bundle method for convex minimization in Hilbert spaces (Q2790873) (← links)
- Convexity and optimization with copulæ structured probabilistic constraints (Q2817219) (← links)
- Level bundle methods for oracles with on-demand accuracy (Q2926079) (← links)
- Incremental Bundle Methods using Upper Models (Q4603045) (← links)
- A sharp augmented Lagrangian-based method in constrained non-convex optimization (Q4631763) (← links)
- A Proximal Bundle Variant with Optimal Iteration-Complexity for a Large Range of Prox Stepsizes (Q5013585) (← links)
- (Q5037959) (← links)
- A quasi-Newton proximal bundle method using gradient sampling technique for minimizing nonsmooth convex functions (Q5058380) (← links)
- Adaptive Bundle Methods for Nonlinear Robust Optimization (Q5106409) (← links)
- A derivative-free 𝒱𝒰-algorithm for convex finite-max problems (Q5113714) (← links)
- An Inexact Bundle Algorithm for Nonconvex Nonsmooth Minimization in Hilbert Space (Q5193505) (← links)
- Minimizing Piecewise-Concave Functions Over Polyhedra (Q5219555) (← links)
- An Inner-Outer Approximation Approach to Chance Constrained Optimization (Q5355201) (← links)
- Non-smooth DC-constrained optimization: constraint qualification and minimizing methodologies (Q5379467) (← links)