OOIR: Observatory of International Research

Papers

(The TQCC of Optimization Methods & Software is 3. 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 2022-06-01 to 2026-06-01.)

Article	Citations
An adaptive regularization method in Banach spaces	47
FLECS: a federated learning second-order framework via compression and sketching	26
A majorization penalty method for SVM with sparse constraint	23
Sparse convex optimization toolkit: a mixed-integer framework	23
Computing subgradients of convex relaxations for solutions of parametric ordinary differential equations	21
Discretization and quantification for distributionally robust optimization with decision-dependent ambiguity sets	18
Exact gradient methods with memory	17
A two-step new modulus-based matrix splitting method for vertical linear complementarity problem	16
A proximal-gradient inertial algorithm with Tikhonov regularization: strong convergence to the minimal norm solution	12
The largest- K -norm for general measure spaces and a DC reformulation for L ⁰ -constrained problems in function sp	12
Variance-reduction for variational inequality problems with Bregman distance function	11
Correction	9
Toward state estimation by high gain differentiators with automatic differentiation	8
Practical perspectives on symplectic accelerated optimization	8
Spatially sparse optimization problems in fractional order Sobolev spaces	7
Numerical simulation of differential-algebraic equations with embedded global optimization criteria	7
The Dai–Liao-type conjugate gradient methods for solving vector optimization problems	7
One-point feedback for composite optimization with applications to distributed and federated learning	6
Two RMIL-type schemes with compressed sensing applications	6
A first-order method for nonconvex-strongly-concave constrained minimax optimization	6
A hybrid optimal control problem constrained with hyperelasticity and the global injectivity condition	6
A mixed-integer programming formulation for optimizing the double row layout problem	6
Conic optimization-based algorithms for nonnegative matrix factorization	6
On the proximal point algorithm for strongly quasiconvex functions in Hadamard spaces	5
Indirect methods for optimal control of parabolic hybrid PDE-dynamical/switching systems using relaxation	5

A smoothing method for solving quadratic convex separable knapsack problems	5
A note on the generalized Hessian of the least squares associated with systems of linear inequalities	5
On the numerical performance of finite-difference-based methods for derivative-free optimization	5
Sequential hierarchical least-squares programming for prioritized non-linear optimal control	5
Worst-case evaluation complexity of a quadratic penalty method for nonconvex optimization	5
The generalized conditional gradient method for multiobjective composite optimization problems with non-monotone line search	5
The role of local steps in local SGD	5
Robust GAN inversion	5
Block coordinate descent methods of centres for solving block-constrained optimization problems	5
Preface for the special issue honouring Andreas Griewank	4
Three-operator reflected forward-backward splitting algorithm with double inertial effects	4
A family of limited memory three term conjugate gradient methods	4
A meta-heuristic extension of the Lagrangian heuristic framework	4
AN-SPS: adaptive sample size nonmonotone line search spectral projected subgradient method for convex constrained optimization problems	4
Decentralized gradient tracking with local steps	4
Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal–dual tensor methods	4
Cone-compactness of a set and related topological properties: stability issues and applications	4
Proximal subgradient method for non-Lipschitz objective functions	4
Customized Douglas-Rachford splitting methods for structured inverse variational inequality problems	4
An efficient model for the multiple allocation hub maximal covering problem	3
Barzilai–Borwein-like rules in proximal gradient schemes for ℓ ₁ -regularized problems	3
Numerical methods for distributed stochastic compositional optimization problems with aggregative structure	3
Foreword	3
Dual spectral projected gradient method for generalized log-det semidefinite programming	3
Interior point methods for solving Pareto eigenvalue complementarity problems	3
Two modified conjugate gradient methods for unconstrained optimization	3
FRanDI: data-free neural network compression via feature regression and deep inversion	3
On pseudoinverse-free randomized methods for linear systems: unified framework and acceleration	3
Towards global parameter estimation exploiting reduced data sets	3
Superlinear convergence of an interior point algorithm on linear semi-definite feasibility problems	3
2023 Charles Broyden Prize Winner	3
Accelerated gradient methods with absolute and relative noise in the gradient	3
A gradient descent akin method for constrained optimization: algorithms and applications	3
A general framework for floating point error analysis of first-order simplex derivatives	3
On the complexity of a quadratic regularization algorithm for minimizing nonsmooth and nonconvex functions	3
Inexact tensor methods and their application to stochastic convex optimization	3
A trust-region scheme for constrained multi-objective optimization problems with superlinear convergence property	3
Distributionally robust joint chance-constrained programming with Wasserstein metric	3