Computational Optimization and Applications

Papers
(The TQCC of Computational Optimization and Applications is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Weak convergence of iterative methods for solving quasimonotone variational inequalities79
Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods45
Global optimization via inverse distance weighting and radial basis functions33
An inexact accelerated stochastic ADMM for separable convex optimization30
QUAntum Particle Swarm Optimization: an auto-adaptive PSO for local and global optimization18
An interior point-proximal method of multipliers for convex quadratic programming18
A Riemannian rank-adaptive method for low-rank matrix completion17
On mixed-integer optimal control with constrained total variation of the integer control16
Riemannian conjugate gradient methods with inverse retraction16
Randomized Kaczmarz methods for tensor complementarity problems15
Method for solving bang-bang and singular optimal control problems using adaptive Radau collocation15
An augmented Lagrangian algorithm for multi-objective optimization14
Convergence study of indefinite proximal ADMM with a relaxation factor14
Single-forward-step projective splitting: exploiting cocoercivity14
Accelerated Bregman proximal gradient methods for relatively smooth convex optimization14
Globalized inexact proximal Newton-type methods for nonconvex composite functions14
T-positive semidefiniteness of third-order symmetric tensors and T-semidefinite programming13
Stochastic proximal gradient methods for nonconvex problems in Hilbert spaces13
Exploiting term sparsity in noncommutative polynomial optimization12
Sequential optimality conditions for cardinality-constrained optimization problems with applications12
Inexact restoration with subsampled trust-region methods for finite-sum minimization12
Stochastic mesh adaptive direct search for blackbox optimization using probabilistic estimates12
Globally convergent Newton-type methods for multiobjective optimization12
A bundle method for nonsmooth DC programming with application to chance-constrained problems11
Theoretical and numerical comparison of the Karush–Kuhn–Tucker and value function reformulations in bilevel optimization11
Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization10
The circumcentered-reflection method achieves better rates than alternating projections10
A product space reformulation with reduced dimension for splitting algorithms10
On the acceleration of the Barzilai–Borwein method10
On the convergence of steepest descent methods for multiobjective optimization10
Decomposition and discrete approximation methods for solving two-stage distributionally robust optimization problems10
On a primal-dual Newton proximal method for convex quadratic programs9
A two-level distributed algorithm for nonconvex constrained optimization9
Conditional gradient method for multiobjective optimization9
Quadratic convergence analysis of a nonmonotone Levenberg–Marquardt type method for the weighted nonlinear complementarity problem9
Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization9
An explicit Tikhonov algorithm for nested variational inequalities9
Forward-reflected-backward method with variance reduction8
Quantitative results on a Halpern-type proximal point algorithm8
Hybrid Riemannian conjugate gradient methods with global convergence properties8
A note on solving nonlinear optimization problems in variable precision8
A stochastic subspace approach to gradient-free optimization in high dimensions8
Inexact proximal memoryless quasi-Newton methods based on the Broyden family for minimizing composite functions8
Expected residual minimization method for monotone stochastic tensor complementarity problem7
MADAM: a parallel exact solver for max-cut based on semidefinite programming and ADMM7
A strictly contractive Peaceman-Rachford splitting method for the doubly nonnegative relaxation of the minimum cut problem7
An effective procedure for feature subset selection in logistic regression based on information criteria7
Convergence rates of subgradient methods for quasi-convex optimization problems7
Fastest rates for stochastic mirror descent methods7
Strengthened splitting methods for computing resolvents7
Solving constrained nonsmooth group sparse optimization via group Capped-$$\ell _1$$ relaxation and group smoothing proximal gradient algorithm7
The Tikhonov regularization for vector equilibrium problems7
Gauss–Newton-type methods for bilevel optimization7
A second-order shape optimization algorithm for solving the exterior Bernoulli free boundary problem using a new boundary cost functional6
An active-set algorithmic framework for non-convex optimization problems over the simplex6
Secant Update generalized version of PSB: a new approach6
The selection of the optimal parameter in the modulus-based matrix splitting algorithm for linear complementarity problems6
A smoothing proximal gradient algorithm for matrix rank minimization problem6
Constrained and unconstrained deep image prior optimization models with automatic regularization6
Robust output-feedback stabilization for incompressible flows using low-dimensional $$\mathcal {H}_{\infty }$$-controllers6
Distributed forward-backward methods for ring networks6
Oracle-based algorithms for binary two-stage robust optimization6
MINLP formulations for continuous piecewise linear function fitting6
On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming6
Parametric shape optimization using the support function6
Computing mixed strategies equilibria in presence of switching costs by the solution of nonconvex QP problems6
Douglas–Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms6
A proximal gradient method for control problems with non-smooth and non-convex control cost6
An inexact proximal generalized alternating direction method of multipliers6
A parameter-free unconstrained reformulation for nonsmooth problems with convex constraints6
Inverse point source location with the Helmholtz equation on a bounded domain6
On the use of polynomial models in multiobjective directional direct search5
The distance between convex sets with Minkowski sum structure: application to collision detection5
An adaptive trust-region method without function evaluations5
An accelerated first-order method with complexity analysis for solving cubic regularization subproblems5
Optimal portfolio selections via $$\ell _{1, 2}$$-norm regularization5
Convergence of sum-up rounding schemes for cloaking problems governed by the Helmholtz equation5
Convergence rates for an inexact ADMM applied to separable convex optimization5
An accelerated proximal gradient method for multiobjective optimization5
Leveraging special-purpose hardware for local search heuristics5
On the inexact scaled gradient projection method5
Nonmonotone trust region algorithm for solving the unconstrained multiobjective optimization problems5
An accelerated active-set algorithm for a quadratic semidefinite program with general constraints5
A stabilized sequential quadratic semidefinite programming method for degenerate nonlinear semidefinite programs5
Hybrid limited memory gradient projection methods for box-constrained optimization problems5
A general variable neighborhood search for the cyclic antibandwidth problem5
A limited memory Quasi-Newton approach for multi-objective optimization5
A sequential partial linearization algorithm for the symmetric eigenvalue complementarity problem5
T-product factorization method for internet traffic data completion with spatio-temporal regularization5
Sequential optimality conditions for nonlinear optimization on Riemannian manifolds and a globally convergent augmented Lagrangian method5
Bregman primal–dual first-order method and application to sparse semidefinite programming5
Decomposition Algorithms for Some Deterministic and Two-Stage Stochastic Single-Leader Multi-Follower Games5
Exact linesearch limited-memory quasi-Newton methods for minimizing a quadratic function4
An efficient global algorithm for worst-case linear optimization under uncertainties based on nonlinear semidefinite relaxation4
DC Semidefinite programming and cone constrained DC optimization I: theory4
An accelerated minimax algorithm for convex-concave saddle point problems with nonsmooth coupling function4
A successive relaxation algorithm to solve a MILP involving piecewise linear functions with application to road design4
On a numerical shape optimization approach for a class of free boundary problems4
Stochastic relaxed inertial forward-backward-forward splitting for monotone inclusions in Hilbert spaces4
A Laplacian approach to $$\ell _1$$-norm minimization4
A zeroth order method for stochastic weakly convex optimization4
Quadratic regularization methods with finite-difference gradient approximations4
Efficient differentiable quadratic programming layers: an ADMM approach4
Make $$\ell _1$$ regularization effective in training sparse CNN4
Diagonal BFGS updates and applications to the limited memory BFGS method4
Expected complexity analysis of stochastic direct-search4
An efficient algorithm for nonconvex-linear minimax optimization problem and its application in solving weighted maximin dispersion problem4
A Lagrange multiplier method for semilinear elliptic state constrained optimal control problems4
A random time-dependent noncooperative equilibrium problem4
The Gauss–Seidel method for generalized Nash equilibrium problems of polynomials4
A stochastic first-order trust-region method with inexact restoration for finite-sum minimization4
Cartoon-texture evolution for two-region image segmentation4
DMulti-MADS: mesh adaptive direct multisearch for bound-constrained blackbox multiobjective optimization4
Polyhedral approximations of the semidefinite cone and their application4
A regularized limited memory BFGS method for large-scale unconstrained optimization and its efficient implementations4
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