Optimization Methods & Software

Papers
(The median citation count of Optimization Methods & Software is 0. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Analysis and comparison of two-level KFAC methods for training deep neural networks35
A linear-time algorithm for finding Hamiltonian cycles in rectangular grid graphs with two rectangular holes31
A note on the computational complexity of chain rule differentiation23
An efficient model for the multiple allocation hub maximal covering problem19
A gradient descent akin method for constrained optimization: algorithms and applications14
Two efficient spectral hybrid CG methods based on memoryless BFGS direction and Dai–Liao conjugacy condition14
Preface12
Two modified conjugate gradient methods for unconstrained optimization10
GBOML: a structure-exploiting optimization modelling language in Python9
Improved high-dimensional regression models with matrix approximations applied to the comparative case studies with support vector machines9
More on second-order properties of the Moreau regularization-approximation of a convex function9
A meta-heuristic extension of the Lagrangian heuristic framework6
Second-order cone programming for frictional contact mechanics using interior point algorithm6
Discretization and quantification for distributionally robust optimization with decision-dependent ambiguity sets6
Exact gradient methods with memory5
On the implementation of a quasi-Newton interior-point method for PDE-constrained optimization using finite element discretizations5
General framework for binary classification on top samples5
Sparse convex optimization toolkit: a mixed-integer framework4
An adaptive regularization method in Banach spaces4
A majorization penalty method for SVM with sparse constraint4
New iterative algorithms with self-adaptive step size for solving split equality fixed point problem and its applications4
Derivative-free bound-constrained optimization for solving structured problems with surrogate models4
Techniques for accelerating branch-and-bound algorithms dedicated to sparse optimization4
Customized Douglas-Rachford splitting methods for structured inverse variational inequality problems4
Generating linear, semidefinite, and second-order cone optimization problems for numerical experiments4
Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal–dual tensor methods4
An active set method for bound-constrained optimization3
Computing subgradients of convex relaxations for solutions of parametric ordinary differential equations3
PersA-FL : personalized asynchronous federated learning3
On a minimal criterion of efficiency in vector variational control problems3
Linear programming sensitivity measured by the optimal value worst-case analysis3
Line-search based optimization using function approximations with tunable accuracy3
Implementation of a projection and rescaling algorithm for second-order conic feasibility problems3
Outer approximation algorithms for convex vector optimization problems3
An inexact restoration direct multisearch filter approach to multiobjective constrained derivative-free optimization3
Predicting pairwise interaction affinities with ℓ 0 -penalized least squares–a nonsmooth bi-objective optimization based approach*3
A dual active-set proximal Newton algorithm for sparse approximation of correlation matrices3
On the complexity of a quadratic regularization algorithm for minimizing nonsmooth and nonconvex functions2
Multiobjective optimization by using cutting angle methods and hypervolume criterion2
Inexact tensor methods and their application to stochastic convex optimization2
Variants of the A-HPE and large-step A-HPE algorithms for strongly convex problems with applications to accelerated high-order tensor methods2
Towards global parameter estimation exploiting reduced data sets2
SLiSeS: subsampled line search spectral gradient method for finite sums2
Barzilai–Borwein-like rules in proximal gradient schemes for ℓ 1 -regularized problems2
Complexity of a class of first-order objective-function-free optimization algorithms2
An optimal interpolation set for model-based derivative-free optimization methods2
Convergence rate analysis of the gradient descent–ascent method for convex–concave saddle-point problems2
A quasi-Newton method in shape optimization for a transmission problem2
The largest- K -norm for general measure spaces and a DC reformulation for L 0 -constrained problems in function sp2
A new inexact gradient descent method with applications to nonsmooth convex optimization2
A piecewise smooth version of the Griewank function2
PathWyse: a flexible, open-source library for the resource constrained shortest path problem2
Correction2
Optimal order multigrid preconditioners for the distributed control of parabolic equations with coarsening in space and time2
Feasible Newton methods for symmetric tensor Z-eigenvalue problems2
Numerical methods for distributed stochastic compositional optimization problems with aggregative structure2
Linear programming with nonparametric penalty programs and iterated thresholding2
A modified Polak-Ribière-Polyak type conjugate gradient method for vector optimization1
A class of projected-search methods for bound-constrained optimization1
Accelerated gradient methods with absolute and relative noise in the gradient1
A Fenchel dual gradient method enabling regularization for nonsmooth distributed optimization over time-varying networks1
A highly efficient algorithm for solving exclusive lasso problems1
A hybrid optimal control problem constrained with hyperelasticity and the global injectivity condition1
A hybrid direct search and projected simplex gradient method for convex constrained minimization1
Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures1
Distributed learning with compressed gradient differences*1
An efficient semismooth Newton method for adaptive sparse signal recovery problems1
Numerical simulation of differential-algebraic equations with embedded global optimization criteria1
The mirror-prox sliding method for non-smooth decentralized saddle-point problems1
Sequential path-equilibration algorithm for highly accurate traffic flow assignment in an urban road network1
A wide neighbourhood predictor–corrector infeasible-interior-point algorithm for symmetric cone programming1
Sequential approximate optimization with adaptive parallel infill strategy assisted by inaccurate Pareto front1
Conic optimization-based algorithms for nonnegative matrix factorization1
Superlinear convergence of an interior point algorithm on linear semi-definite feasibility problems1
Decentralized saddle point problems via non-Euclidean mirror prox1
Foreword1
The use of a family of Gerstewitz scalarization functions in the context of vector optimization with variable domination structures to derive scalarization results1
A first-order regularized approach to the order-value optimization problem1
A proximal-gradient method for problems with overlapping group-sparse regularization: support identification complexity1
Operator splitting for adaptive radiation therapy with nonlinear health dynamics1
Data-driven distributionally robust risk parity portfolio optimization1
Distributionally robust expected residual minimization for stochastic variational inequality problems1
A two-step new modulus-based matrix splitting method for vertical linear complementarity problem1
Practical perspectives on symplectic accelerated optimization1
Stochastic block projection algorithms with extrapolation for convex feasibility problems1
IntSat: integer linear programming by conflict-driven constraint learning1
Robust reverse 1-center problems on trees with interval costs1
A mixed-integer programming formulation for optimizing the double row layout problem1
Distributionally robust joint chance-constrained programming with Wasserstein metric1
Steering exact penalty DCA for nonsmooth DC optimisation problems with equality and inequality constraints1
Using first-order information in direct multisearch for multiobjective optimization0
Two families of hybrid conjugate gradient methods with restart procedures and their applications0
Scaled alternating multiplier method for solving the matrix equation AXB + CXD = E0
Two RMIL-type schemes with compressed sensing applications0
Length-constrained cycle partition with an application to UAV routing*0
Closing duality gaps of SDPs completely through perturbation when singularity degree is one0
A new inertial projected reflected gradient method with application to optimal control problems0
The Dai–Liao-type conjugate gradient methods for solving vector optimization problems0
A competitive inexact nonmonotone filter SQP method: convergence analysis and numerical results0
Reflected three-operator splitting method for monotone inclusion problem0
Soft quasi-Newton: guaranteed positive definiteness by relaxing the secant constraint0
Tensor decompositions for count data that leverage stochastic and deterministic optimization0
Using general triangle inequalities within quadratic convex reformulation method0
The role of local steps in local SGD0
An efficient hybrid conjugate gradient method with sufficient descent property for unconstrained optimization0
Global optimization for sparse solution of least squares problems0
Semismooth Newton-type method for bilevel optimization: global convergence and extensive numerical experiments0
Sequential hierarchical least-squares programming for prioritized non-linear optimal control0
On inexact stochastic splitting methods for a class of nonconvex composite optimization problems with relative error0
An incremental descent method for multi-objective optimization0
Preface0
Dual formulation of the sparsity constrained optimization problem: application to classification0
Shape-changing trust-region methods using multipoint symmetric secant matrices0
Properties of semi-conjugate gradient methods for solving unsymmetric positive definite linear systems0
A neurodynamic approach for a class of pseudoconvex semivectorial bilevel optimization problems0
Preface for the special edition of optimization methods and software0
Projection onto the exponential cone: a univariate root-finding problem0
A family of limited memory three term conjugate gradient methods0
An efficient hybrid conjugate gradient method for unconstrained optimization0
NPPro: a Newton projection with proportioning solver for quadratic programming with affine constraints0
Tensorial total variation-based image and video restoration with optimized projection methods0
On the convergence of Newton-type proximal gradient method for multiobjective optimization problems0
Linear systems arising in interior methods for convex optimization: a symmetric formulation with bounded condition number0
Nonconvex equilibrium models for energy markets: exploiting price information to determine the existence of an equilibrium0
A symmetric grouped and ordered multi-secant Quasi-Newton update formula0
Solution approaches for the vehicle routing problem with occasional drivers and time windows0
Study on precoding optimization algorithms in massive MIMO system with multi-antenna users0
Optimal inexactness schedules for tunable oracle-based methods0
A penalty decomposition approach for multi-objective cardinality-constrained optimization problems0
Convergence analysis of stochastic higher-order majorization–minimization algorithms0
An implementable descent method for nonsmooth multiobjective optimization on Riemannian manifolds0
Stochastic approximation versus sample average approximation for Wasserstein barycenters0
A branch and bound method solving the max–min linear discriminant analysis problem0
On the numerical performance of finite-difference-based methods for derivative-free optimization0
Quasi-Newton methods for machine learning: forget the past, just sample0
A stochastic approximation method for convex programming with many semidefinite constraints0
A semismooth conjugate gradients method – theoretical analysis0
Crossing edge minimization in radial outerplanar layered graphs using segment paths0
Toward state estimation by high gain differentiators with automatic differentiation0
Isotonicity of the proximity operator and stochastic optimization problems in Hilbert quasi-lattices endowed with Lorentz cones0
Distributed saddle point problems: lower bounds, near-optimal and robust algorithms*0
Some upgrading problems on networks related to eccentricity concept0
Infinite dimensional tensor variational inequalities with applications to an economic equilibrium problem0
AN-SPS: adaptive sample size nonmonotone line search spectral projected subgradient method for convex constrained optimization problems0
PDE-constrained shape optimization with first-order and Newton-type methods in the W 1,∞ topology0
A primer on the application of neural networks to covering array generation0
An equivalent nonlinear optimization model with triangular low-rank factorization for semidefinite programs0
Three-operator reflected forward-backward splitting algorithm with double inertial effects0
Stochastic distributed learning with gradient quantization and double-variance reduction0
Off-line exploration of rectangular cellular environments with a rectangular obstacle0
Worst-case evaluation complexity of a quadratic penalty method for nonconvex optimization0
Decentralized gradient tracking with local steps0
Globalization of convergence of the constrained piecewise Levenberg–Marquardt method0
Using Nemirovski's Mirror-Prox method as basic procedure in Chubanov's method for solving homogeneous feasibility problems0
Loraine – an interior-point solver for low-rank semidefinite programming0
A Newton-type proximal gradient method for nonlinear multi-objective optimization problems0
Correction0
A quasi-Newton proximal bundle method using gradient sampling technique for minimizing nonsmooth convex functions0
A new multipoint symmetric secant method with a dense initial matrix0
A new randomized primal-dual algorithm for convex optimization with fast last iterate convergence rates0
Addendum to the paper ‘Nonsmooth DC-constrained optimization: constraint qualification and minimizing methodologies’0
An approximate Newton-type proximal method using symmetric rank-one updating formula for minimizing the nonsmooth composite functions0
A finite convergence algorithm for solving linear-quadratic network games with strategic complements and bounded strategies0
Jordan symmetry reduction for conic optimization over the doubly nonnegative cone: theory and software0
Observability inequality of backward stochastic heat equations with Lévy process for measurable sets and its applications0
Automatic source code generation for deterministic global optimization with parallel architectures0
HyKKT: a hybrid direct-iterative method for solving KKT linear systems0
Convergences for robust bilevel polynomial programmes with applications0
A Bregman stochastic method for nonconvex nonsmooth problem beyond global Lipschitz gradient continuity0
Iterative methods for projection onto the ℓ p quasi-norm ball0
A new spectral conjugate subgradient method with application in computed tomography image reconstruction0
AB/Push-Pull method for distributed optimization in time-varying directed networks0
On a Frank-Wolfe approach for abs-smooth functions0
An inertial subgradient extragradient algorithm with adaptive stepsizes for variational inequality problems0
Approximating Hessian matrices using Bayesian inference: a new approach for quasi-Newton methods in stochastic optimization0
Preface to the special issue0
Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays0
Unrestricted Douglas-Rachford algorithms for solving convex feasibility problems in Hilbert space0
Incremental quasi-Newton algorithms for solving a nonconvex, nonsmooth, finite-sum optimization problem0
Reduced basis model predictive control for semilinear parabolic partial differential equations0
Urban air mobility: from complex tactical conflict resolution to network design and fairness insights0
Bilevel optimization with a multi-objective lower-level problem: risk-neutral and risk-averse formulations0
Quadratic rates of asymptotic regularity for the Tikhonov–Mann iteration0
A globally convergent regularized interior point method for constrained optimization0
On well-structured convex–concave saddle point problems and variational inequalities with monotone operators0
An investigation of stochastic trust-region based algorithms for finite-sum minimization0
A note on the generalized Hessian of the least squares associated with systems of linear inequalities0
Exact penalties for decomposable convex optimization problems0
Inexact model: a framework for optimization and variational inequalities0
An ADMM based method for underdetermined box-constrained integer least squares problems0
A derivative free projection method for the singularities of vector fields with convex constraints on Hadamard manifolds0
Efficient second-order optimization with predictions in differential games0
On generalized Nash equilibrium problems in infinite-dimensional spaces using Nikaido–Isoda type functionals0
Cone-compactness of a set and related topological properties: stability issues and applications0
Optimized convergence of stochastic gradient descent by weighted averaging0
Delay-tolerant distributed Bregman proximal algorithms0
On minty variational principle for quasidifferentiable vector optimization problems0
An interior point method for nonlinear constrained derivative-free optimization0
Maximizing the number of rides served for time-limited Dial-a-Ride*0
Interior point methods for solving Pareto eigenvalue complementarity problems0
Matrix extreme points and free extreme points of free spectrahedra0
A generic optimization framework for resilient systems0
A descent family of the spectral Hestenes–Stiefel method by considering the quasi-Newton method0
Jacobian sparsity detection using Bloom filters0
Exact penalization for cardinality and rank-constrained optimization problems via partial regularization0
Non-convex regularization and accelerated gradient algorithm for sparse portfolio selection0
Full-low evaluation methods for derivative-free optimization0
A trust-region scheme for constrained multi-objective optimization problems with superlinear convergence property0
Convergence to a second-order critical point by a primal-dual interior point trust-region method for nonlinear semidefinite programming0
Learning graph Laplacian with MCP0
Least squares monotonic unimodal approximations to successively updated data and an application to a Covid-19 outbreak0
0.2247679233551