Computational Optimization and Applications

Papers
(The median citation count of Computational Optimization and Applications is 1. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
An inexact accelerated stochastic ADMM for separable convex optimization34
QUAntum Particle Swarm Optimization: an auto-adaptive PSO for local and global optimization22
A Riemannian rank-adaptive method for low-rank matrix completion20
An interior point-proximal method of multipliers for convex quadratic programming19
Randomized Kaczmarz methods for tensor complementarity problems19
Accelerated Bregman proximal gradient methods for relatively smooth convex optimization18
Method for solving bang-bang and singular optimal control problems using adaptive Radau collocation18
Sequential optimality conditions for cardinality-constrained optimization problems with applications16
Globalized inexact proximal Newton-type methods for nonconvex composite functions16
Stochastic mesh adaptive direct search for blackbox optimization using probabilistic estimates16
On mixed-integer optimal control with constrained total variation of the integer control16
Exploiting term sparsity in noncommutative polynomial optimization15
Stochastic proximal gradient methods for nonconvex problems in Hilbert spaces15
A bundle method for nonsmooth DC programming with application to chance-constrained problems15
Conditional gradient method for multiobjective optimization15
Single-forward-step projective splitting: exploiting cocoercivity14
Globally convergent Newton-type methods for multiobjective optimization14
Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization13
Theoretical and numerical comparison of the Karush–Kuhn–Tucker and value function reformulations in bilevel optimization12
On the acceleration of the Barzilai–Borwein method12
Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization11
A product space reformulation with reduced dimension for splitting algorithms11
The circumcentered-reflection method achieves better rates than alternating projections11
A two-level distributed algorithm for nonconvex constrained optimization11
Quantitative results on a Halpern-type proximal point algorithm10
Quadratic convergence analysis of a nonmonotone Levenberg–Marquardt type method for the weighted nonlinear complementarity problem10
A stochastic subspace approach to gradient-free optimization in high dimensions10
Decomposition and discrete approximation methods for solving two-stage distributionally robust optimization problems10
An accelerated proximal gradient method for multiobjective optimization9
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
A limited memory Quasi-Newton approach for multi-objective optimization9
Parametric shape optimization using the support function9
Gauss–Newton-type methods for bilevel optimization8
MADAM: a parallel exact solver for max-cut based on semidefinite programming and ADMM8
Strengthened splitting methods for computing resolvents8
Forward-reflected-backward method with variance reduction8
Constrained and unconstrained deep image prior optimization models with automatic regularization8
Robust output-feedback stabilization for incompressible flows using low-dimensional $$\mathcal {H}_{\infty }$$-controllers7
Sequential optimality conditions for nonlinear optimization on Riemannian manifolds and a globally convergent augmented Lagrangian method7
Douglas–Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms7
Spectral conjugate gradient methods for vector optimization problems7
A proximal gradient method for control problems with non-smooth and non-convex control cost7
A regularized limited memory BFGS method for large-scale unconstrained optimization and its efficient implementations7
Fastest rates for stochastic mirror descent methods7
Conditional gradient method for vector optimization7
A general variable neighborhood search for the cyclic antibandwidth problem7
Inexact proximal memoryless quasi-Newton methods based on the Broyden family for minimizing composite functions7
The Tikhonov regularization for vector equilibrium problems7
A strictly contractive Peaceman-Rachford splitting method for the doubly nonnegative relaxation of the minimum cut problem7
Distributed forward-backward methods for ring networks7
Hybrid limited memory gradient projection methods for box-constrained optimization problems7
An effective procedure for feature subset selection in logistic regression based on information criteria7
Derivative-free methods for mixed-integer nonsmooth constrained optimization7
Clustering-based multipopulation approaches in MOEA/D for many-objective problems7
Efficient differentiable quadratic programming layers: an ADMM approach6
MINLP formulations for continuous piecewise linear function fitting6
Secant Update generalized version of PSB: a new approach6
On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming6
Expected complexity analysis of stochastic direct-search6
Computing mixed strategies equilibria in presence of switching costs by the solution of nonconvex QP problems6
Optimal portfolio selections via $$\ell _{1, 2}$$-norm regularization6
On the inexact scaled gradient projection method6
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
T-product factorization method for internet traffic data completion with spatio-temporal regularization6
Inertial alternating direction method of multipliers for non-convex non-smooth optimization6
A stochastic first-order trust-region method with inexact restoration for finite-sum minimization6
An adaptive trust-region method without function evaluations6
A smoothing proximal gradient algorithm for matrix rank minimization problem6
An efficient algorithm for nonconvex-linear minimax optimization problem and its application in solving weighted maximin dispersion problem6
Bregman primal–dual first-order method and application to sparse semidefinite programming6
Convergence of sum-up rounding schemes for cloaking problems governed by the Helmholtz equation5
Quadratic regularization methods with finite-difference gradient approximations5
The Gauss–Seidel method for generalized Nash equilibrium problems of polynomials5
Decomposition Algorithms for Some Deterministic and Two-Stage Stochastic Single-Leader Multi-Follower Games5
A Laplacian approach to $$\ell _1$$-norm minimization5
Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients5
Newton-type methods near critical solutions of piecewise smooth nonlinear equations5
Majorization-minimization-based Levenberg–Marquardt method for constrained nonlinear least squares5
Leveraging special-purpose hardware for local search heuristics5
An accelerated first-order method with complexity analysis for solving cubic regularization subproblems5
Nonmonotone trust region algorithm for solving the unconstrained multiobjective optimization problems5
A zeroth order method for stochastic weakly convex optimization5
A stabilized sequential quadratic semidefinite programming method for degenerate nonlinear semidefinite programs5
DMulti-MADS: mesh adaptive direct multisearch for bound-constrained blackbox multiobjective optimization5
An efficient global algorithm for worst-case linear optimization under uncertainties based on nonlinear semidefinite relaxation4
Finite-sum smooth optimization with SARAH4
DC Semidefinite programming and cone constrained DC optimization I: theory4
Abstract strongly convergent variants of the proximal point algorithm4
A modified inexact Levenberg–Marquardt method with the descent property for solving nonlinear equations4
An augmented subgradient method for minimizing nonsmooth DC functions4
Exact linesearch limited-memory quasi-Newton methods for minimizing a quadratic function4
An inexact successive quadratic approximation method for a class of difference-of-convex optimization problems4
Modeling design and control problems involving neural network surrogates4
Malitsky-Tam forward-reflected-backward splitting method for nonconvex minimization problems4
Diagonal BFGS updates and applications to the limited memory BFGS method4
Stochastic relaxed inertial forward-backward-forward splitting for monotone inclusions in Hilbert spaces4
Cartoon-texture evolution for two-region image segmentation4
Polyhedral approximations of the semidefinite cone and their application4
An inexact Riemannian proximal gradient method4
Avoiding bad steps in Frank-Wolfe variants4
A random time-dependent noncooperative equilibrium problem4
A trust-region approach for computing Pareto fronts in multiobjective optimization4
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
Computable centering methods for spiraling algorithms and their duals, with motivations from the theory of Lyapunov functions4
Low-rank factorization for rank minimization with nonconvex regularizers4
Levenberg–Marquardt method based on probabilistic Jacobian models for nonlinear equations4
Finding multi-objective supported efficient spanning trees3
A proximal DC approach for quadratic assignment problem3
Adaptive partition-based SDDP algorithms for multistage stochastic linear programming with fixed recourse3
Block coordinate descent for smooth nonconvex constrained minimization3
Generalizations of the proximal method of multipliers in convex optimization3
Subspace quadratic regularization method for group sparse multinomial logistic regression3
Finding the global optimum of a class of quartic minimization problem3
A dual simplex-type algorithm for the smallest enclosing ball of balls3
Stochastic mathematical programs with probabilistic complementarity constraints: SAA and distributionally robust approaches3
A level set method for Laplacian eigenvalue optimization subject to geometric constraints3
A data-driven approach for a class of stochastic dynamic optimization problems3
A stochastic primal-dual method for a class of nonconvex constrained optimization3
Perturbation analysis of the euclidean distance matrix optimization problem and its numerical implications3
A path-following inexact Newton method for PDE-constrained optimal control in BV3
Some modified fast iterative shrinkage thresholding algorithms with a new adaptive non-monotone stepsize strategy for nonsmooth and convex minimization problems3
$${\text {B}}$$-subdifferentials of the projection onto the matrix simplex3
An alternative extrapolation scheme of PDHGM for saddle point problem with nonlinear function3
Secant penalized BFGS: a noise robust quasi-Newton method via penalizing the secant condition3
A relaxation-based probabilistic approach for PDE-constrained optimization under uncertainty with pointwise state constraints3
A harmonic framework for stepsize selection in gradient methods3
Generic linear convergence through metric subregularity in a variable-metric extension of the proximal point algorithm3
Optimization over the Pareto front of nonconvex multi-objective optimal control problems3
The continuous stochastic gradient method: part II–application and numerics3
Results for the close-enough traveling salesman problem with a branch-and-bound algorithm3
A communication-efficient and privacy-aware distributed algorithm for sparse PCA3
Quantifying uncertainty with ensembles of surrogates for blackbox optimization3
The continuous stochastic gradient method: part I–convergence theory3
SDP-based bounds for graph partition via extended ADMM3
Branch-and-Model: a derivative-free global optimization algorithm3
On the solution stability of parabolic optimal control problems3
Accelerating stochastic sequential quadratic programming for equality constrained optimization using predictive variance reduction3
An abstract convergence framework with application to inertial inexact forward–backward methods3
A priori error estimate of perturbation method for optimal control problem governed by elliptic PDEs with small uncertainties3
An extrapolated iteratively reweighted $$\ell _1$$ method with complexity analysis2
Finding best approximation pairs for two intersections of closed convex sets2
An efficient implementable inexact entropic proximal point algorithm for a class of linear programming problems2
Polyhedral analysis and a new algorithm for the length constrained K–drones rural postman problem2
On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions2
An accelerated inexact dampened augmented Lagrangian method for linearly-constrained nonconvex composite optimization problems2
Accelerating convergence of a globalized sequential quadratic programming method to critical Lagrange multipliers2
Inexact penalty decomposition methods for optimization problems with geometric constraints2
Inexact proximal DC Newton-type method for nonconvex composite functions2
An alternate approach to solve two-level priority based assignment problem2
On the properties of the cosine measure and the uniform angle subspace2
Generating set search using simplex gradients for bound-constrained black-box optimization2
T-product factorization based method for matrix and tensor completion problems2
New Bregman proximal type algorithms for solving DC optimization problems2
DC semidefinite programming and cone constrained DC optimization II: local search methods2
Alternative extension of the Hager–Zhang conjugate gradient method for vector optimization2
A two-time-level model for mission and flight planning of an inhomogeneous fleet of unmanned aerial vehicles2
Relaxed dissipativity assumptions and a simplified algorithm for multiobjective MPC2
Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization2
Policy iteration for Hamilton–Jacobi–Bellman equations with control constraints2
Minimization over the $$\ell _1$$-ball using an active-set non-monotone projected gradient2
Robust min-max regret covering problems2
Two new bidirectional search algorithms2
A space–time variational method for optimal control problems: well-posedness, stability and numerical solution2
From inexact optimization to learning via gradient concentration2
Simple approximative algorithms for free-support Wasserstein barycenters2
Alternating conditional gradient method for convex feasibility problems2
General-purpose preconditioning for regularized interior point methods2
Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization2
Linearization and parallelization schemes for convex mixed-integer nonlinear optimization2
Approximate solution of system of equations arising in interior-point methods for bound-constrained optimization2
Matrix optimization based Euclidean embedding with outliers2
Design of a heuristic algorithm for the generalized multi-objective set covering problem2
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
A Bregman–Kaczmarz method for nonlinear systems of equations2
A-posteriori reduced basis error-estimates for a semi-discrete in space quasilinear parabolic PDE2
Fast inertial dynamic algorithm with smoothing method for nonsmooth convex optimization2
An effective logarithmic formulation for piecewise linearization requiring no inequality constraint2
Conic formulation of QPCCs applied to truly sparse QPs2
Implementing and modifying Broyden class updates for large scale optimization2
Sub-linear convergence of a stochastic proximal iteration method in Hilbert space2
A FISTA-type accelerated gradient algorithm for solving smooth nonconvex composite optimization problems2
An infeasible interior-point arc-search method with Nesterov’s restarting strategy for linear programming problems2
Radius theorems for subregularity in infinite dimensions2
Sparse optimization via vector k-norm and DC programming with an application to feature selection for support vector machines2
$$\rho$$-regularization subproblems: strong duality and an eigensolver-based algorithm1
Two methods for the maximization of homogeneous polynomials over the simplex1
A simultaneous diagonalization based SOCP relaxation for portfolio optimization with an orthogonality constraint1
A generalized shortest path tour problem with time windows1
Linear singularly perturbed systems without slow-fast split1
Practical gradient and conjugate gradient methods on flag manifolds1
A smoothing Newton method based on the modulus equation for a class of weakly nonlinear complementarity problems1
Inexact gradient projection method with relative error tolerance1
On global convergence of alternating least squares for tensor approximation1
Efficient scalarization in multiobjective optimal control of a nonsmooth PDE1
SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization1
A time-consistent Benders decomposition method for multistage distributionally robust stochastic optimization with a scenario tree structure1
Robust and continuous metric subregularity for linear inequality systems1
Projected orthogonal vectors in two-dimensional search interior point algorithms for linear programming1
A nested primal–dual FISTA-like scheme for composite convex optimization problems1
Accelerated inexact composite gradient methods for nonconvex spectral optimization problems1
Using partial spectral information for block diagonal preconditioning of saddle-point systems1
Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier-Stokes equations with surface tension1
An improved penalty algorithm using model order reduction for MIPDECO problems with partial observations1
A piecewise conservative method for unconstrained convex optimization1
Fast and safe: accelerated gradient methods with optimality certificates and underestimate sequences1
Projection free methods on product domains1
A note on the convergence of deterministic gradient sampling in nonsmooth optimization1
Accelerated gradient sliding for structured convex optimization1
A trust-region LP-Newton method for constrained nonsmooth equations under Hölder metric subregularity1
A split Levenberg-Marquardt method for large-scale sparse problems1
Nonconvex robust programming via value-function optimization1
A smoothing proximal gradient algorithm with extrapolation for the relaxation of $${\ell_{0}}$$ regularization problem1
A new proximal heavy ball inexact line-search algorithm1
Multiobjective BFGS method for optimization on Riemannian manifolds1
Riemannian optimization on unit sphere with p-norm and its applications1
Distributed stochastic compositional optimization problems over directed networks1
The deepest event cuts in risk-averse optimization with application to radiation therapy design1
First order inertial optimization algorithms with threshold effects associated with dry friction1
Minimum cost b-matching problems with neighborhoods1
A fast continuous time approach for non-smooth convex optimization using Tikhonov regularization technique1
OFFO minimization algorithms for second-order optimality and their complexity1
A sublevel moment-SOS hierarchy for polynomial optimization1
Extension of switch point algorithm to boundary-value problems1
An easily computable upper bound on the Hoffman constant for homogeneous inequality systems1
Eigenvalue programming beyond matrices1
A branch-and-prune algorithm for discrete Nash equilibrium problems1
Computational aspects of column generation for nonlinear and conic optimization: classical and linearized schemes1
Linearly convergent bilevel optimization with single-step inner methods1
Distribution-free algorithms for predictive stochastic programming in the presence of streaming data1
Error estimates for Runge–Kutta schemes of optimal control problems with index 1 DAEs1
An inexact regularized proximal Newton method for nonconvex and nonsmooth optimization1
Optimal control problems with $$L^0(\Omega )$$ constraints: maximum principle and proximal gradient method1
Minibatch stochastic subgradient-based projection algorithms for feasibility problems with convex inequalities1
Second order semi-smooth Proximal Newton methods in Hilbert spaces1
A semismooth Newton based dual proximal point algorithm for maximum eigenvalue problem1
A structured modified Newton approach for solving systems of nonlinear equations arising in interior-point methods for quadratic programming1
On solving a class of fractional semi-infinite polynomial programming problems1
A Filippov approximation theorem for strengthened one-sided Lipschitz differential inclusions1
A study of progressive hedging for stochastic integer programming1
Average curvature FISTA for nonconvex smooth composite optimization problems1
A parallel splitting ALM-based algorithm for separable convex programming1
Tensor Z-eigenvalue complementarity problems1
Local convergence analysis of augmented Lagrangian method for nonlinear semidefinite programming1
Optimality conditions for Tucker low-rank tensor optimization1
Compact representations of structured BFGS matrices1
Loss functions for finite sets1
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