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SIAM J. Optim.
1991
2001
2011
2024
1991
2024
Keyphrases
Publications
volume 34, number 2, 2024
Hoa T. Bui
,
Regina Sandra Burachik
,
Evgeni A. Nurminski
,
Matthew K. Tam
Single-Projection Procedure for Infinite Dimensional Convex Optimization Problems.
SIAM J. Optim.
34 (2) (2024)
Zi Xu
,
Ziqi Wang
,
Jingjing Shen
,
Yuhong Dai
Derivative-Free Alternating Projection Algorithms for General Nonconvex-Concave Minimax Problems.
SIAM J. Optim.
34 (2) (2024)
Pierre Carpentier
,
Jean-Philippe Chancelier
,
Michel De Lara
Time Consistency for Multistage Stochastic Optimization Problems under Constraints in Expectation.
SIAM J. Optim.
34 (2) (2024)
Sivaramakrishnan Ramani
,
Archis Ghate
A Family of \(\boldsymbol{s}\)-Rectangular Robust MDPs: Relative Conservativeness, Asymptotic Analyses, and Finite-Sample Properties.
SIAM J. Optim.
34 (2) (2024)
Didier Henrion
,
Milan Korda
,
Martin Kruzík
,
Rodolfo Rios-Zertuche
Occupation Measure Relaxations in Variational Problems: The Role of Convexity.
SIAM J. Optim.
34 (2) (2024)
Jannis Kurtz
Approximation Guarantees for Min-Max-Min Robust Optimization and \({\boldsymbol{k}}\)-Adaptability Under Objective Uncertainty.
SIAM J. Optim.
34 (2) (2024)
Kaizhao Sun
,
Mou Sun
,
Wotao Yin
Decomposition Methods for Global Solution of Mixed-Integer Linear Programs.
SIAM J. Optim.
34 (2) (2024)
Aris Daniilidis
,
Marc Quincampoix
Extending the Rademacher Theorem to Set-Valued Maps.
SIAM J. Optim.
34 (2) (2024)
Nuozhou Wang
,
Shuzhong Zhang
A Gradient Complexity Analysis for Minimizing the Sum of Strongly Convex Functions with Varying Condition Numbers.
SIAM J. Optim.
34 (2) (2024)
Olga Kuryatnikova
,
Juan C. Vera
,
Luis F. Zuluaga
Reducing Nonnegativity over General Semialgebraic Sets to Nonnegativity over Simple Sets.
SIAM J. Optim.
34 (2) (2024)
Minh Tùng Nguyen
,
Tien-Son Pham
Clarke's Tangent Cones, Subgradients, Optimality Conditions, and the Lipschitzness at Infinity.
SIAM J. Optim.
34 (2) (2024)
Fabián Flores Bazán
,
Rubén López
,
Cristian Vera
Vector Asymptotic Functions and Their Application to Multiobjective Optimization Problems.
SIAM J. Optim.
34 (2) (2024)
Zhaosong Lu
,
Sanyou Mei
First-Order Penalty Methods for Bilevel Optimization.
SIAM J. Optim.
34 (2) (2024)
Jie Wang
Weighted Geometric Mean, Minimum Mediated Set, and Optimal Simple Second-Order Cone Representation.
SIAM J. Optim.
34 (2) (2024)
Qian Li
,
Defeng Sun
,
Yancheng Yuan
An Efficient Sieving-Based Secant Method for Sparse Optimization Problems with Least-Squares Constraints.
SIAM J. Optim.
34 (2) (2024)
Avinash Bhardwaj
,
Vishnu Narayanan
,
Abhishek Pathapati
Exact Augmented Lagrangian Duality for Mixed Integer Convex Optimization.
SIAM J. Optim.
34 (2) (2024)
Naoki Marumo
,
Akiko Takeda
Parameter-Free Accelerated Gradient Descent for Nonconvex Minimization.
SIAM J. Optim.
34 (2) (2024)
Bowen Li
,
Bin Shi
,
Ya-xiang Yuan
Linear Convergence of Forward-Backward Accelerated Algorithms without Knowledge of the Modulus of Strong Convexity.
SIAM J. Optim.
34 (2) (2024)
Kaizhao Sun
,
Xu Andy Sun
Dual Descent Augmented Lagrangian Method and Alternating Direction Method of Multipliers.
SIAM J. Optim.
34 (2) (2024)
Robin A. Brown
,
David Esteban Bernal Neira
,
Davide Venturelli
,
Marco Pavone
A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms.
SIAM J. Optim.
34 (2) (2024)
Francesco Rinaldi
,
Luís Nunes Vicente
,
Damiano Zeffiro
Stochastic Trust-Region and Direct-Search Methods: A Weak Tail Bound Condition and Reduced Sample Sizing.
SIAM J. Optim.
34 (2) (2024)
Ying Lin
,
Scott B. Lindstrom
,
Bruno F. Lourenço
,
Ting Kei Pong
Generalized Power Cones: Optimal Error Bounds and Automorphisms.
SIAM J. Optim.
34 (2) (2024)
Yi-Shuai Niu
,
Hoai An Le Thi
,
Tao Pham Dinh
On Difference-of-SOS and Difference-of-Convex-SOS Decompositions for Polynomials.
SIAM J. Optim.
34 (2) (2024)
Martin Morin
,
Sebastian Banert
,
Pontus Giselsson
Frugal Splitting Operators: Representation, Minimal Lifting, and Convergence.
SIAM J. Optim.
34 (2) (2024)
Kristian Bredies
,
Enis Chenchene
,
Emanuele Naldi
Graph and Distributed Extensions of the Douglas-Rachford Method.
SIAM J. Optim.
34 (2) (2024)
Roberto Andreani
,
Kelvin R. Couto
,
Orizon P. Ferreira
,
Gabriel Haeser
Constraint Qualifications and Strong Global Convergence Properties of an Augmented Lagrangian Method on Riemannian Manifolds.
SIAM J. Optim.
34 (2) (2024)
Andrew D. McRae
,
Nicolas Boumal
Benign Landscapes of Low-Dimensional Relaxations for Orthogonal Synchronization on General Graphs.
SIAM J. Optim.
34 (2) (2024)
Christoph Buchheim
,
Alexandra Grütering
,
Christian Meyer
Parabolic Optimal Control Problems with Combinatorial Switching Constraints, Part II: Outer Approximation Algorithm.
SIAM J. Optim.
34 (2) (2024)
Marc Dambrine
,
Charles Dossal
,
Bénédicte Puig
,
Aude Rondepierre
Stochastic Differential Equations for Modeling First Order Optimization Methods.
SIAM J. Optim.
34 (2) (2024)
E. Ruben van Beesten
,
Ward Romeijnders
,
David P. Morton
Pragmatic Distributionally Robust Optimization for Simple Integer Recourse Models.
SIAM J. Optim.
34 (2) (2024)
volume 34, number 3, 2024
Xiao Wang
,
Xiaojun Chen
Complexity of Finite-Sum Optimization with Nonsmooth Composite Functions and Non-Lipschitz Regularization.
SIAM J. Optim.
34 (3) (2024)
Billy Jin
,
Katya Scheinberg
,
Miaolan Xie
High Probability Complexity Bounds for Adaptive Step Search Based on Stochastic Oracles.
SIAM J. Optim.
34 (3) (2024)
Wouter Jongeneel
,
Man-Chung Yue
,
Daniel Kuhn
Small Errors in Random Zeroth-Order Optimization Are Imaginary.
SIAM J. Optim.
34 (3) (2024)
Tianyun Tang
,
Kim-Chuan Toh
A Feasible Method for General Convex Low-Rank SDP Problems.
SIAM J. Optim.
34 (3) (2024)
Alejandro Carderera
,
Mathieu Besançon
,
Sebastian Pokutta
Scalable Frank-Wolfe on Generalized Self-Concordant Functions via Simple Steps.
SIAM J. Optim.
34 (3) (2024)
Yan Li
,
Liping Zhang
A Novel Nonconvex Relaxation Approach to Low-Rank Matrix Completion of Inexact Observed Data.
SIAM J. Optim.
34 (3) (2024)
Konstantin Sonntag
,
Sebastian Peitz
Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping.
SIAM J. Optim.
34 (3) (2024)
Aaron Berk
,
Simone Brugiapaglia
,
Tim Hoheisel
Square Root LASSO: Well-Posedness, Lipschitz Stability, and the Tuning Trade-Off.
SIAM J. Optim.
34 (3) (2024)
Zilai Si
,
Yucong Liu
,
Alexander Strang
Path-Following Methods for Maximum a Posteriori Estimators in Bayesian Hierarchical Models: How Estimates Depend on Hyperparameters.
SIAM J. Optim.
34 (3) (2024)
Roger Behling
,
Yunier Bello-Cruz
,
Alfredo N. Iusem
,
Di Liu
,
Luiz-Rafael Santos
A Finitely Convergent Circumcenter Method for the Convex Feasibility Problem.
SIAM J. Optim.
34 (3) (2024)
Weiping Yan
,
Yu Tang
,
Gonglin Yuan
Fast Optimization of Charged Particle Dynamics with Damping.
SIAM J. Optim.
34 (3) (2024)
Lien Thuy Nguyen
,
Andrew C. Eberhard
,
Xinghuo Yu
,
Chaojie Li
Fast Gradient Algorithm with Dry-like Friction and Nonmonotone Line Search for Nonconvex Optimization Problems.
SIAM J. Optim.
34 (3) (2024)
Waïss Azizian
,
Franck Iutzeler
,
Jérôme Malick
,
Panayotis Mertikopoulos
The Rate of Convergence of Bregman Proximal Methods: Local Geometry Versus Regularity Versus Sharpness.
SIAM J. Optim.
34 (3) (2024)
Çagin Ararat
,
Firdevs Ulus
,
Muhammad Umer
Convergence Analysis of a Norm Minimization-Based Convex Vector Optimization Algorithm.
SIAM J. Optim.
34 (3) (2024)
K. J. Dzahini
,
Stefan M. Wild
Stochastic Trust-Region Algorithm in Random Subspaces with Convergence and Expected Complexity Analyses.
SIAM J. Optim.
34 (3) (2024)
Wenyu Chen
,
Rahul Mazumder
Subgradient Regularized Multivariate Convex Regression at Scale.
SIAM J. Optim.
34 (3) (2024)
Guozhi Dong
,
Michael Hintermüller
,
Kostas Papafitsoros
A Descent Algorithm for the Optimal Control of ReLU Neural Network Informed PDEs Based on Approximate Directional Derivatives.
SIAM J. Optim.
34 (3) (2024)
Benjamin Grimmer
Provably Faster Gradient Descent via Long Steps.
SIAM J. Optim.
34 (3) (2024)
Zikai Xiong
,
Robert M. Freund
Using Taylor-Approximated Gradients to Improve the Frank-Wolfe Method for Empirical Risk Minimization.
SIAM J. Optim.
34 (3) (2024)
Semih Cayci
,
Niao He
,
R. Srikant
Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation.
SIAM J. Optim.
34 (3) (2024)