Computational Optimization and Applications

Papers
(The median citation count of Computational Optimization and Applications is 2. 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 2020-07-01 to 2024-07-01.)
ArticleCitations
Weak convergence of iterative methods for solving quasimonotone variational inequalities85
Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods47
Global optimization via inverse distance weighting and radial basis functions34
An inexact accelerated stochastic ADMM for separable convex optimization30
QUAntum Particle Swarm Optimization: an auto-adaptive PSO for local and global optimization19
An interior point-proximal method of multipliers for convex quadratic programming19
Riemannian conjugate gradient methods with inverse retraction18
A Riemannian rank-adaptive method for low-rank matrix completion18
Randomized Kaczmarz methods for tensor complementarity problems17
On mixed-integer optimal control with constrained total variation of the integer control16
Method for solving bang-bang and singular optimal control problems using adaptive Radau collocation16
Accelerated Bregman proximal gradient methods for relatively smooth convex optimization15
T-positive semidefiniteness of third-order symmetric tensors and T-semidefinite programming15
Stochastic proximal gradient methods for nonconvex problems in Hilbert spaces14
Globalized inexact proximal Newton-type methods for nonconvex composite functions14
Sequential optimality conditions for cardinality-constrained optimization problems with applications14
Single-forward-step projective splitting: exploiting cocoercivity14
Exploiting term sparsity in noncommutative polynomial optimization13
Stochastic mesh adaptive direct search for blackbox optimization using probabilistic estimates13
Conditional gradient method for multiobjective optimization12
Theoretical and numerical comparison of the Karush–Kuhn–Tucker and value function reformulations in bilevel optimization12
A bundle method for nonsmooth DC programming with application to chance-constrained problems12
Globally convergent Newton-type methods for multiobjective optimization12
On the acceleration of the Barzilai–Borwein method11
Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization10
The circumcentered-reflection method achieves better rates than alternating projections10
Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization10
Quantitative results on a Halpern-type proximal point algorithm10
Decomposition and discrete approximation methods for solving two-stage distributionally robust optimization problems10
A product space reformulation with reduced dimension for splitting algorithms10
A two-level distributed algorithm for nonconvex constrained optimization10
Hybrid Riemannian conjugate gradient methods with global convergence properties9
An explicit Tikhonov algorithm for nested variational inequalities9
On a primal-dual Newton proximal method for convex quadratic programs9
Solving constrained nonsmooth group sparse optimization via group Capped-$$\ell _1$$ relaxation and group smoothing proximal gradient algorithm9
Expected residual minimization method for monotone stochastic tensor complementarity problem9
Quadratic convergence analysis of a nonmonotone Levenberg–Marquardt type method for the weighted nonlinear complementarity problem9
Gauss–Newton-type methods for bilevel optimization8
A stochastic subspace approach to gradient-free optimization in high dimensions8
A strictly contractive Peaceman-Rachford splitting method for the doubly nonnegative relaxation of the minimum cut problem7
Douglas–Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms7
An accelerated proximal gradient method for multiobjective optimization7
MADAM: a parallel exact solver for max-cut based on semidefinite programming and ADMM7
The Tikhonov regularization for vector equilibrium problems7
Forward-reflected-backward method with variance reduction7
An effective procedure for feature subset selection in logistic regression based on information criteria7
Inexact proximal memoryless quasi-Newton methods based on the Broyden family for minimizing composite functions7
Parametric shape optimization using the support function7
Fastest rates for stochastic mirror descent methods7
Strengthened splitting methods for computing resolvents7
A limited memory Quasi-Newton approach for multi-objective optimization7
A proximal gradient method for control problems with non-smooth and non-convex control cost7
Constrained and unconstrained deep image prior optimization models with automatic regularization7
Computing mixed strategies equilibria in presence of switching costs by the solution of nonconvex QP problems6
On the use of polynomial models in multiobjective directional direct search6
The selection of the optimal parameter in the modulus-based matrix splitting algorithm for linear complementarity problems6
A parameter-free unconstrained reformulation for nonsmooth problems with convex constraints6
Sequential optimality conditions for nonlinear optimization on Riemannian manifolds and a globally convergent augmented Lagrangian method6
A general variable neighborhood search for the cyclic antibandwidth problem6
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
Robust output-feedback stabilization for incompressible flows using low-dimensional $$\mathcal {H}_{\infty }$$-controllers6
Distributed forward-backward methods for ring networks6
Secant Update generalized version of PSB: a new approach6
A smoothing proximal gradient algorithm for matrix rank minimization problem6
T-product factorization method for internet traffic data completion with spatio-temporal regularization5
Convergence of sum-up rounding schemes for cloaking problems governed by the Helmholtz equation5
Nonmonotone trust region algorithm for solving the unconstrained multiobjective optimization problems5
Inertial alternating direction method of multipliers for non-convex non-smooth optimization5
Convergence rates for an inexact ADMM applied to separable convex optimization5
Leveraging special-purpose hardware for local search heuristics5
A sequential partial linearization algorithm for the symmetric eigenvalue complementarity problem5
An efficient algorithm for nonconvex-linear minimax optimization problem and its application in solving weighted maximin dispersion problem5
An accelerated first-order method with complexity analysis for solving cubic regularization subproblems5
Quadratic regularization methods with finite-difference gradient approximations5
Hybrid limited memory gradient projection methods for box-constrained optimization problems5
Efficient differentiable quadratic programming layers: an ADMM approach5
A stabilized sequential quadratic semidefinite programming method for degenerate nonlinear semidefinite programs5
A stochastic first-order trust-region method with inexact restoration for finite-sum minimization5
An accelerated active-set algorithm for a quadratic semidefinite program with general constraints5
An adaptive trust-region method without function evaluations5
Expected complexity analysis of stochastic direct-search5
Bregman primal–dual first-order method and application to sparse semidefinite programming5
The Gauss–Seidel method for generalized Nash equilibrium problems of polynomials5
Majorization-minimization-based Levenberg–Marquardt method for constrained nonlinear least squares5
Decomposition Algorithms for Some Deterministic and Two-Stage Stochastic Single-Leader Multi-Follower Games5
The distance between convex sets with Minkowski sum structure: application to collision detection5
Tractable ADMM schemes for computing KKT points and local minimizers for $$\ell _0$$-minimization problems5
On the inexact scaled gradient projection method5
A zeroth order method for stochastic weakly convex optimization4
Optimal portfolio selections via $$\ell _{1, 2}$$-norm regularization4
Modeling design and control problems involving neural network surrogates4
Low-rank factorization for rank minimization with nonconvex regularizers4
DMulti-MADS: mesh adaptive direct multisearch for bound-constrained blackbox multiobjective optimization4
Diagonal BFGS updates and applications to the limited memory BFGS method4
Stochastic relaxed inertial forward-backward-forward splitting for monotone inclusions in Hilbert spaces4
A Laplacian approach to $$\ell _1$$-norm minimization4
Exact linesearch limited-memory quasi-Newton methods for minimizing a quadratic function4
A random time-dependent noncooperative equilibrium problem4
DC Semidefinite programming and cone constrained DC optimization I: theory4
Malitsky-Tam forward-reflected-backward splitting method for nonconvex minimization problems4
Derivative-free methods for mixed-integer nonsmooth constrained optimization4
Cartoon-texture evolution for two-region image segmentation4
On a numerical shape optimization approach for a class of free boundary problems4
A regularized limited memory BFGS method for large-scale unconstrained optimization and its efficient implementations4
A Lagrange multiplier method for semilinear elliptic state constrained optimal control problems4
An efficient global algorithm for worst-case linear optimization under uncertainties based on nonlinear semidefinite relaxation4
Finite-sum smooth optimization with SARAH4
Abstract strongly convergent variants of the proximal point algorithm4
Make $$\ell _1$$ regularization effective in training sparse CNN4
A successive relaxation algorithm to solve a MILP involving piecewise linear functions with application to road design4
Polyhedral approximations of the semidefinite cone and their application4
Clustering-based multipopulation approaches in MOEA/D for many-objective problems4
An augmented subgradient method for minimizing nonsmooth DC functions3
Optimization over the Pareto front of nonconvex multi-objective optimal control problems3
A proximal-point outer approximation algorithm3
An inexact Riemannian proximal gradient method3
Results for the close-enough traveling salesman problem with a branch-and-bound algorithm3
An inexact successive quadratic approximation method for a class of difference-of-convex optimization problems3
Some modified fast iterative shrinkage thresholding algorithms with a new adaptive non-monotone stepsize strategy for nonsmooth and convex minimization problems3
Accelerating convergence of the globalized Newton method to critical solutions of nonlinear equations3
SDP-based bounds for graph partition via extended ADMM3
Consistent treatment of incompletely converged iterative linear solvers in reverse-mode algorithmic differentiation3
Secant penalized BFGS: a noise robust quasi-Newton method via penalizing the secant condition3
Accelerating stochastic sequential quadratic programming for equality constrained optimization using predictive variance reduction3
Computable centering methods for spiraling algorithms and their duals, with motivations from the theory of Lyapunov functions3
Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients3
A level set method for Laplacian eigenvalue optimization subject to geometric constraints3
Conditional gradient method for vector optimization3
Newton-type methods near critical solutions of piecewise smooth nonlinear equations3
Adaptive partition-based SDDP algorithms for multistage stochastic linear programming with fixed recourse3
$${\text {B}}$$-subdifferentials of the projection onto the matrix simplex3
Block coordinate descent for smooth nonconvex constrained minimization3
Properties of the delayed weighted gradient method3
On the interplay between acceleration and identification for the proximal gradient algorithm3
A modified inexact Levenberg–Marquardt method with the descent property for solving nonlinear equations3
Generic linear convergence through metric subregularity in a variable-metric extension of the proximal point algorithm3
Stochastic mathematical programs with probabilistic complementarity constraints: SAA and distributionally robust approaches3
The continuous stochastic gradient method: part II–application and numerics3
A priori error estimate of perturbation method for optimal control problem governed by elliptic PDEs with small uncertainties3
Avoiding bad steps in Frank-Wolfe variants3
A proximal DC approach for quadratic assignment problem3
Spectral conjugate gradient methods for vector optimization problems3
The continuous stochastic gradient method: part I–convergence theory3
An accelerated minimax algorithm for convex-concave saddle point problems with nonsmooth coupling function3
Convergence study on strictly contractive Peaceman–Rachford splitting method for nonseparable convex minimization models with quadratic coupling terms3
Subspace quadratic regularization method for group sparse multinomial logistic regression3
Branch-and-Model: a derivative-free global optimization algorithm3
An abstract convergence framework with application to inertial inexact forward–backward methods2
Quantifying uncertainty with ensembles of surrogates for blackbox optimization2
A two-time-level model for mission and flight planning of an inhomogeneous fleet of unmanned aerial vehicles2
Approximate solution of system of equations arising in interior-point methods for bound-constrained optimization2
A stochastic primal-dual method for a class of nonconvex constrained optimization2
A-posteriori reduced basis error-estimates for a semi-discrete in space quasilinear parabolic PDE2
Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization2
Accelerating convergence of a globalized sequential quadratic programming method to critical Lagrange multipliers2
A new method based on the proximal bundle idea and gradient sampling technique for minimizing nonsmooth convex functions2
A relaxation-based probabilistic approach for PDE-constrained optimization under uncertainty with pointwise state constraints2
Inexact penalty decomposition methods for optimization problems with geometric constraints2
From inexact optimization to learning via gradient concentration2
DC semidefinite programming and cone constrained DC optimization II: local search methods2
A dual simplex-type algorithm for the smallest enclosing ball of balls2
A harmonic framework for stepsize selection in gradient methods2
A data-driven approach for a class of stochastic dynamic optimization problems2
An infeasible interior-point arc-search method with Nesterov’s restarting strategy for linear programming problems2
Matrix optimization based Euclidean embedding with outliers2
Relaxed dissipativity assumptions and a simplified algorithm for multiobjective MPC2
On R-linear convergence analysis for a class of gradient methods2
On the SCD semismooth* Newton method for generalized equations with application to a class of static contact problems with Coulomb friction2
An accelerated inexact dampened augmented Lagrangian method for linearly-constrained nonconvex composite optimization problems2
A space–time variational method for optimal control problems: well-posedness, stability and numerical solution2
A path-following inexact Newton method for PDE-constrained optimal control in BV2
An alternate approach to solve two-level priority based assignment problem2
Generalizations of the proximal method of multipliers in convex optimization2
General-purpose preconditioning for regularized interior point methods2
Conic formulation of QPCCs applied to truly sparse QPs2
On the properties of the cosine measure and the uniform angle subspace2
T-product factorization based method for matrix and tensor completion problems2
Generating set search using simplex gradients for bound-constrained black-box optimization2
Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton’s equation2
Levenberg–Marquardt method based on probabilistic Jacobian models for nonlinear equations2
New Bregman proximal type algorithms for solving DC optimization problems2
Finding best approximation pairs for two intersections of closed convex sets2
Policy iteration for Hamilton–Jacobi–Bellman equations with control constraints2
Finding multi-objective supported efficient spanning trees2
An alternative extrapolation scheme of PDHGM for saddle point problem with nonlinear function2
Fast inertial dynamic algorithm with smoothing method for nonsmooth convex optimization2
On the solution stability of parabolic optimal control problems2
Minimization over the $$\ell _1$$-ball using an active-set non-monotone projected gradient2
Finding the global optimum of a class of quartic minimization problem2
Robust min-max regret covering problems2
Implementing and modifying Broyden class updates for large scale optimization2
Radius theorems for subregularity in infinite dimensions2
Sub-linear convergence of a stochastic proximal iteration method in Hilbert space2
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