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SIAM J. Optim.
1991
2002
2013
2024
1991
2024
Keyphrases
Publications
volume 34, number 1, 2024
Weiwei Kong
,
Renato D. C. Monteiro
Global Complexity Bound of a Proximal ADMM for Linearly Constrained Nonseparable Nonconvex Composite Programming.
SIAM J. Optim.
34 (1) (2024)
Ulysse Marteau-Ferey
,
Francis R. Bach
,
Alessandro Rudi
Second Order Conditions to Decompose Smooth Functions as Sums of Squares.
SIAM J. Optim.
34 (1) (2024)
Tobia Marcucci
,
Jack Umenberger
,
Pablo A. Parrilo
,
Russ Tedrake
Shortest Paths in Graphs of Convex Sets.
SIAM J. Optim.
34 (1) (2024)
Camille Castera
,
Hédy Attouch
,
Jalal Fadili
,
Peter Ochs
Continuous Newton-like Methods Featuring Inertia and Variable Mass.
SIAM J. Optim.
34 (1) (2024)
Antonio Bellon
,
Mareike Dressler
,
Vyacheslav Kungurtsev
,
Jakub Marecek
,
André Uschmajew
Time-Varying Semidefinite Programming: Path Following a Burer-Monteiro Factorization.
SIAM J. Optim.
34 (1) (2024)
Maël Forcier
,
Stéphane Gaubert
,
Vincent Leclère
Exact Quantization of Multistage Stochastic Linear Problems.
SIAM J. Optim.
34 (1) (2024)
Honglin Luo
,
Xianfu Wang
,
Xinmin Yang
Various Notions of Nonexpansiveness Coincide for Proximal Mappings of Functions.
SIAM J. Optim.
34 (1) (2024)
Nan Jiang
,
Weijun Xie
Distributionally Favorable Optimization: A Framework for Data-Driven Decision-Making with Endogenous Outliers.
SIAM J. Optim.
34 (1) (2024)
Cédric Josz
,
Lexiao Lai
Sufficient Conditions for Instability of the Subgradient Method with Constant Step Size.
SIAM J. Optim.
34 (1) (2024)
Güzin Bayraksan
,
Francesca Maggioni
,
Daniel Faccini
,
Ming Yang
Bounds for Multistage Mixed-Integer Distributionally Robust Optimization.
SIAM J. Optim.
34 (1) (2024)
Anis Hamadouche
,
Yun Wu
,
Andrew M. Wallace
,
João F. C. Mota
Sharper Bounds for Proximal Gradient Algorithms with Errors.
SIAM J. Optim.
34 (1) (2024)
Sergio Cristancho
,
Mauricio Velasco
Harmonic Hierarchies for Polynomial Optimization.
SIAM J. Optim.
34 (1) (2024)
Wutao Si
,
Pierre-Antoine Absil
,
Wen Huang
,
Rujun Jiang
,
Simon Vary
A Riemannian Proximal Newton Method.
SIAM J. Optim.
34 (1) (2024)
Christian Günther
,
Bahareh Khazayel
,
Christiane Tammer
Nonlinear Cone Separation Theorems in Real Topological Linear Spaces.
SIAM J. Optim.
34 (1) (2024)
Hanyang Li
,
Ying Cui
A Decomposition Algorithm for Two-Stage Stochastic Programs with Nonconvex Recourse Functions.
SIAM J. Optim.
34 (1) (2024)
Zheng Qu
,
Xindong Tang
A Correlatively Sparse Lagrange Multiplier Expression Relaxation for Polynomial Optimization.
SIAM J. Optim.
34 (1) (2024)
David L. Applegate
,
Mateo Díaz
,
Haihao Lu
,
Miles Lubin
Infeasibility Detection with Primal-Dual Hybrid Gradient for Large-Scale Linear Programming.
SIAM J. Optim.
34 (1) (2024)
Grigoriy Blekherman
,
Santanu S. Dey
,
Shengding Sun
Aggregations of Quadratic Inequalities and Hidden Hyperplane Convexity.
SIAM J. Optim.
34 (1) (2024)
Jérôme Bolte
,
Edouard Pauwels
,
Antonio Silveti-Falls
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems.
SIAM J. Optim.
34 (1) (2024)
Alexandre d'Aspremont
,
Cristóbal Guzmán
,
Clément Lezane
Optimal Algorithms for Stochastic Complementary Composite Minimization.
SIAM J. Optim.
34 (1) (2024)
Xiaozhou Wang
,
Ting Kei Pong
Convergence Rate Analysis of a Dykstra-Type Projection Algorithm.
SIAM J. Optim.
34 (1) (2024)
Tianyi Liu
,
Yifan Lin
,
Enlu Zhou
Bayesian Stochastic Gradient Descent for Stochastic Optimization with Streaming Input Data.
SIAM J. Optim.
34 (1) (2024)
Wenqing Ouyang
,
Yang Liu
,
Andre Milzarek
Descent Properties of an Anderson Accelerated Gradient Method with Restarting.
SIAM J. Optim.
34 (1) (2024)
Adrian S. Lewis
,
Genaro López-Acedo
,
Adriana Nicolae
Basic Convex Analysis in Metric Spaces with Bounded Curvature.
SIAM J. Optim.
34 (1) (2024)
Nikita Doikov
,
Konstantin Mishchenko
,
Yurii E. Nesterov
Super-Universal Regularized Newton Method.
SIAM J. Optim.
34 (1) (2024)
Iskander Aliev
,
Martin Henk
,
Mark Hogan
,
Stefan Kuhlmann
,
Timm Oertel
New Bounds for the Integer Carathéodory Rank.
SIAM J. Optim.
34 (1) (2024)
Zhe Sun
,
Lei Wu
Hybrid Algorithms for Finding a D-Stationary Point of a Class of Structured Nonsmooth DC Minimization.
SIAM J. Optim.
34 (1) (2024)
volume 33, number 4, 2023
Tongseok Lim
Maximal Monotonicity and Cyclic Involutivity of Multiconjugate Convex Functions.
SIAM J. Optim.
33 (4) (2023)
Peiyuan Zhang
,
Jingzhao Zhang
,
Suvrit Sra
Sion's Minimax Theorem in Geodesic Metric Spaces and a Riemannian Extragradient Algorithm.
SIAM J. Optim.
33 (4) (2023)
Serge Gratton
,
Alena Kopanicáková
,
Philippe L. Toint
Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training.
SIAM J. Optim.
33 (4) (2023)
Andrea Wagner
,
Firdevs Ulus
,
Birgit Rudloff
,
Gabriela Kovácová
,
Niklas Hey
Algorithms to Solve Unbounded Convex Vector Optimization Problems.
SIAM J. Optim.
33 (4) (2023)
Minh N. Dao
,
Hassan Saoud
,
Michel A. Théra
Locating Theorems of Differential Inclusions Governed by Maximally Monotone Operators.
SIAM J. Optim.
33 (4) (2023)
Andreas Bärmann
,
Alexander Martin
,
Oskar Schneider
The Bipartite Boolean Quadric Polytope with Multiple-Choice Constraints.
SIAM J. Optim.
33 (4) (2023)
Olga Kuryatnikova
,
Bissan Ghaddar
,
Daniel K. Molzahn
Two-Stage Robust Quadratic Optimization with Equalities and Its Application to Optimal Power Flow.
SIAM J. Optim.
33 (4) (2023)
Matus Benko
,
Helmut Gfrerer
,
Jane J. Ye
,
Jin Zhang
,
Jinchuan Zhou
Second-Order Optimality Conditions for General Nonconvex Optimization Problems and Variational Analysis of Disjunctive Systems.
SIAM J. Optim.
33 (4) (2023)
Hamza Fawzi
,
James Saunderson
Optimal Self-Concordant Barriers for Quantum Relative Entropies.
SIAM J. Optim.
33 (4) (2023)
Chaobing Song
,
Jelena Diakonikolas
Cyclic Coordinate Dual Averaging with Extrapolation.
SIAM J. Optim.
33 (4) (2023)
Leon Liu
,
Walaa M. Moursi
,
Jon Vanderwerff
Strongly Nonexpansive Mappings Revisited: Uniform Monotonicity and Operator Splitting.
SIAM J. Optim.
33 (4) (2023)
Xiaoyin Hu
,
Nachuan Xiao
,
Xin Liu
,
Kim-Chuan Toh
An Improved Unconstrained Approach for Bilevel Optimization.
SIAM J. Optim.
33 (4) (2023)
Javier Peña
Affine Invariant Convergence Rates of the Conditional Gradient Method.
SIAM J. Optim.
33 (4) (2023)
Lindon Roberts
,
Clément W. Royer
Direct Search Based on Probabilistic Descent in Reduced Spaces.
SIAM J. Optim.
33 (4) (2023)
Cédric Josz
,
Lexiao Lai
,
Xiaopeng Li
Convergence of the Momentum Method for Semialgebraic Functions with Locally Lipschitz Gradients.
SIAM J. Optim.
33 (4) (2023)
J. Frédéric Bonnans
,
Kang Liu
,
Nadia Oudjane
,
Laurent Pfeiffer
,
Cheng Wan
Large-Scale Nonconvex Optimization: Randomization, Gap Estimation, and Numerical Resolution.
SIAM J. Optim.
33 (4) (2023)
Roey Merchav
,
Shoham Sabach
Convex Bi-level Optimization Problems with Nonsmooth Outer Objective Function.
SIAM J. Optim.
33 (4) (2023)
Xiaoxi Jia
,
Christian Kanzow
,
Patrick Mehlitz
Convergence Analysis of the Proximal Gradient Method in the Presence of the Kurdyka-Łojasiewicz Property Without Global Lipschitz Assumptions.
SIAM J. Optim.
33 (4) (2023)
Ioannis C. Tsaknakis
,
Mingyi Hong
,
Shuzhong Zhang
Minimax Problems with Coupled Linear Constraints: Computational Complexity and Duality.
SIAM J. Optim.
33 (4) (2023)
Shiwei Wang
,
Chao Ding
,
Yangjing Zhang
,
Xinyuan Zhao
Strong Variational Sufficiency for Nonlinear Semidefinite Programming and Its Implications.
SIAM J. Optim.
33 (4) (2023)
Ryan Hynd
Evolution of Mixed Strategies in Monotone Games.
SIAM J. Optim.
33 (4) (2023)
Emanuel Laude
,
Andreas Themelis
,
Panagiotis Patrinos
Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy.
SIAM J. Optim.
33 (4) (2023)
Yuyuan Ouyang
,
Trevor Squires
Universal Conditional Gradient Sliding for Convex Optimization.
SIAM J. Optim.
33 (4) (2023)