yusuke1997/dblp-id-title huggingface dataset:
A priori error estimate of perturbation method for optimal control problem governed by elliptic PDEs with small uncertainties
Composite convex optimization with global and local inexact oracles
A self-adaptive method for pseudomonotone equilibrium problems and variational inequalities
Faster, but weaker, relaxations for quadratically constrained quadratic programs
Differential evolution algorithms using hybrid mutation
A derivative-free descent method in set optimization
A cyclic scheduling problem with an undetermined number of parallel identical processors
Iterative methods for computing U-eigenvalues of non-symmetric complex tensors with application in quantum entanglement
A random coordinate descent algorithm for optimization problems with composite objective function and linear coupled constraints
An alternating direction and projection algorithm for structure-enforced matrix factorization
Distributed stochastic compositional optimization problems over directed networks
A two-phase heuristic for the bottleneck k -hyperplane clustering problem
A proximal difference-of-convex algorithm with extrapolation
Incorporating minimum Frobenius norm models in direct search
An inexact accelerated stochastic ADMM for separable convex optimization
An Optimal Algorithm to Find the Jump Number of Partially Ordered Sets
Computing the Initial Temperature of Simulated Annealing
A note on sparse SOS and SDP relaxations for polynomial optimization problems over symmetric cones
The convergence of an interior point method for an elliptic control problem with mixed control-state constraints
A note on some analytic center cutting plane methods for convex feasibility and minimization problems
The piecewise linear-quadratic model for computational convex analysis
An affine scaling method for optimization problems with polyhedral constraints
Truncated LSQR for matrix least squares problems
State-defect constraint pairing graph coarsening method for Karush-Kuhn-Tucker matrices arising in orthogonal collocation methods for optimal control
Discretization of semilinear bang-singular-bang control problems
A penalty-free method with superlinear convergence for equality constrained optimization
A Variational Discretization Concept in Control Constrained Optimization: The Linear-Quadratic Case
Machine learning for global optimization
Preconditioned iterative regularization in Banach spaces
Exact solution approaches for bilevel assignment problems
Prim-based support-graph preconditioners for min-cost flow problems
Optimized choice of parameters in interior-point methods for linear programming
Variable Programming: A Generalized Minimax Problem. Part II: Algorithms
Cholesky QR-based retraction on the generalized Stiefel manifold
A New Gradient Method with an Optimal Stepsize Property
A Dai-Yuan-type Riemannian conjugate gradient method with the weak Wolfe conditions
Acceleration Tools for Diagonal Information Global Optimization Algorithms
A stochastic subspace approach to gradient-free optimization in high dimensions
Preface to special issue on "optimal control of nonlinear differential equations"
Optimal Control of Continuous Casting by Nondifferentiable Multiobjective Optimization
A complementarity approach to a quasistatic multi-rigid-body contact problem
A Subtree-Partitioning Algorithm for Inducing Parallelism in Network Simplex Dual Updates
A stable primal-dual approach for linear programming under nondegeneracy assumptions
Introduction to the special issue for SIMAI 2016
Nonsmooth exact penalization second-order methods for incompressible bi-viscous fluids
Margin maximization in spherical separation
Properties of the delayed weighted gradient method
Visualization of the \(\varepsilon \) -subdifferential of piecewise linear-quadratic functions
A restarting approach for the symmetric rank one update for unconstrained optimization
Partially Observed Analytic Systems with Fully Unbounded Actuators and Sensors-FEM Algorithms
A Logarithmic-Quadratic Proximal Prediction-Correction Method for Structured Monotone Variational Inequalities
Integer programming models and branch-and-cut approaches to generalized {0, 1, 2}-survivable network design problems
Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization
Efficient differentiable quadratic programming layers: an ADMM approach
Nonmonotone Globalization Techniques for the Barzilai-Borwein Gradient Method
Implementation of a block-decomposition algorithm for solving large-scale conic semidefinite programming problems
On the semilocal convergence behavior for Halley's method
An Iterative Global Optimization Algorithm for Potential Energy Minimization
Iterative reweighted methods for \(\ell _1-\ell _p\) minimization
Column generation approaches for the software clustering problem
Minibatch stochastic subgradient-based projection algorithms for feasibility problems with convex inequalities
A primal-dual homotopy algorithm for \(\ell _{1}\) -minimization with \(\ell _{\infty }\) -constraints
An inexact NE/SQP method for solving the nonlinear complementarity problem
A unified algorithm for mixed $l_{2, p}$ -minimizations and its application in feature selection
Recycling basic columns of the splitting preconditioner in interior point methods
An effective procedure for feature subset selection in logistic regression based on information criteria
A decomposition-based crash-start for stochastic programming
On FISTA with a relative error rule
An inexact spectral bundle method for convex quadratic semidefinite programming
On the proximal Landweber Newton method for a class of nonsmooth convex problems
Correction to: Globalized inexact proximal Newton-type methods for nonconvex composite functions
A two-stage stochastic programming approach for influence maximization in social networks
COAP 2014 Best Paper Prize
Tabu search for the linear ordering problem with cumulative costs
A proximal bundle method for nonsmooth nonconvex functions with inexact information
Results for the close-enough traveling salesman problem with a branch-and-bound algorithm
Annular and sectorial sparsity in optimal control of elliptic equations
Riemannian optimization on unit sphere with p-norm and its applications
A piecewise conservative method for unconstrained convex optimization
Master-Slave Strategy and Polynomial Approximation
Secant update version of quasi-Newton PSB with weighted multisecant equations
A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization
A Newton method for a class of quasi-variational inequalities
On how to solve large-scale log-determinant optimization problems
An ADM-based splitting method for separable convex programming
Projection free methods on product domains
Convex Quadratic Approximation
Enhancing performance of particle swarm optimization through an algorithmic link with genetic algorithms
Application of Deterministic Low-Discrepancy Sequences in Global Optimization
On merit functions for p -order cone complementarity problem
A Network Improvement Problem Under Different Norms
A cutting-plane algorithm for solving a weighted influence interdiction problem
Inexact Josephy-Newton framework for generalized equations and its applications to local analysis of Newtonian methods for constrained optimization
Application of the dual active set algorithm to quadratic network optimization
Asynchronous parallel primal-dual block coordinate update methods for affinely constrained convex programs
The Sample Average Approximation Method Applied to Stochastic Routing Problems: A Computational Study
Formulating an n -person noncooperative game as a tensor complementarity problem
Exact line and plane search for tensor optimization
On the optimal solution set in interval linear programming
Adaptive cyclic gradient methods with interpolation
A Note on the Recursive and Parallel Structure of the Birge and Qi Factorization for Tree Structured Linear Programs
Sparse Linear Least Squares Problems in Optimization
A Levenberg-Marquardt method with approximate projections
Optimal control of electrorheological fluids through the action of electric fields
A linear code parameter search algorithm with applications to immunology
Error estimates for the numerical approximation of Neumann control problems
Using inexact gradients in a multilevel optimization algorithm
Generalizations of the proximal method of multipliers in convex optimization
A multilevel bilinear programming algorithm for the vertex separator problem
On Extensions of the Frank-Wolfe Theorems
Using multiobjective optimization to map the entropy region
Heuristic approaches to discrete-continuous project scheduling problems to minimize the makespan
Riemannian conjugate gradient methods with inverse retraction
Local convergence analysis of inexact Newton-like methods under majorant condition
On the steepest descent algorithm for quadratic functions
A Hybrid Metaheuristic for the Quadratic Assignment Problem
The directed search method for multi-objective memetic algorithms
Further development of multiple centrality correctors for interior point methods
A nonsmooth primal-dual method with interwoven PDE constraint solver
Variational discretization of Lavrentiev-regularized state constrained elliptic optimal control problems
An Infeasible Point Method for Minimizing the Lennard-Jones Potential
Estimation-based metaheuristics for the single vehicle routing problem with stochastic demands and customers
Global minima for semilinear optimal control problems
How much do we "pay" for using default parameters?
Probability-one homotopy maps for mixed complementarity problems
An intermodal multicommodity routing problem with scheduled services
Abstract strongly convergent variants of the proximal point algorithm
An incomplete Hessian Newton minimization method and its application in a chemical database problem
Securitization of Financial Assets: Approximation in Theory and Practice
The Adjoint Newton Algorithm for Large-Scale Unconstrained Optimization in Meteorology Applications
Quadratic Convergence of a Primal-Dual Interior Point Method for Degenerate Nonlinear Optimization Problems
A novel convex dual approach to three-dimensional assignment problem: theoretical analysis
COAP 2022 Best Paper Prize
On the resolution of certain discrete univariate max-min problems
A nested primal-dual iterated Tikhonov method for regularized convex optimization
A strictly contractive Peaceman-Rachford splitting method for the doubly nonnegative relaxation of the minimum cut problem
A fast dual proximal-gradient method for separable convex optimization with linear coupled constraints
Solving the p -Median Problem with a Semi-Lagrangian Relaxation
Accuracy of suboptimal solutions to kernel principal component analysis
Sufficient descent directions in unconstrained optimization
Segmentation of Pulmonary Nodule Images Using 1-Norm Minimization
Multi-Standard Quadratic Optimization: interior point methods and cone programming reformulation
A data-driven approach for a class of stochastic dynamic optimization problems
The Gauss-Seidel method for generalized Nash equilibrium problems of polynomials
Implementation of scatter search for multi-objective optimization: a comparative study
Iterative computation of negative curvature directions in large scale optimization
Exploiting term sparsity in noncommutative polynomial optimization
Convexity of chance constraints with independent random variables
Piecewise Linear Time Series Estimation with GRASP
Optimal Sequential and Parallel Algorithms to Compute All Cut Vertices on Trapezoid Graphs
Sparsity preserving preconditioners for linear systems in interior-point methods
Quantifying uncertainty with ensembles of surrogates for blackbox optimization
Symmetric error estimates for discontinuous Galerkin time-stepping schemes for optimal control problems constrained to evolutionary Stokes equations
A new dual spectral projected gradient method for log-determinant semidefinite programming with hidden clustering structures
On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming
Fast paths in large-scale dynamic road networks
Regularization of state-constrained elliptic optimal control problems with nonlocal radiation interface conditions
Sequential optimality conditions for nonlinear optimization on Riemannian manifolds and a globally convergent augmented Lagrangian method
Accelerated Bregman proximal gradient methods for relatively smooth convex optimization
New smoothing SVM algorithm with tight error bound and efficient reduced techniques
Scheduling with uncertainties on new computing platforms
The Complexity of Self-Regular Proximity Based Infeasible IPMs
On the calculation of minimum variance estimators for unobservable dependent variables
A Semidefinite Programming Heuristic for Quadratic Programming Problems with Complementarity Constraints
On an enumerative algorithm for solving eigenvalue complementarity problems
Erratum to: A regularized Newton method without line search for unconstrained optimization
An abstract convergence framework with application to inertial inexact forward-backward methods
Robust Optimal Service Analysis of Single-Server Re-Entrant Queues
On Superlinear Convergence of Infeasible Interior-Point Algorithms for Linearly Constrained Convex Programs
A general framework for whiteness-based parameters selection in variational models
A modified Levenberg-Marquardt method with line search for nonlinear equations
On a primal-dual Newton proximal method for convex quadratic programs
The Lagrange-Newton method for nonlinear optimal control problems
COAP 2020 best paper prize
An iterative algorithm for third-order tensor multi-rank minimization
Book Review: Computational Techniques of the Simplex Method
Stochastic proximal gradient methods for nonconvex problems in Hilbert spaces
How good are projection methods for convex feasibility problems?
A new strategy for the undirected two-commodity maximum flow problem
Spectral analysis of block preconditioners for double saddle-point linear systems with application to PDE-constrained optimization
Robust least square semidefinite programming with applications
A lifting method for generalized semi-infinite programs based on lower level Wolfe duality
A fast continuous time approach for non-smooth convex optimization using Tikhonov regularization technique
Semidefinite relaxations for semi-infinite polynomial programming
Correction to: Convergence rate for a Radau hp collocation method applied to constrained optimal control
A real moment-HSOS hierarchy for complex polynomial optimization with real coefficients
A Branch & Cut Algorithm for the Asymmetric Traveling Salesman Problem with Precedence Constraints
Adjoint IMEX-based schemes for control problems governed by hyperbolic conservation laws
A reduced Hessian method for constrained optimization
A heuristic algorithm for the cluster editing problem
Matrix-free interior point method
Generating set search using simplex gradients for bound-constrained black-box optimization
Efficient sampling in approximate dynamic programming algorithms
Second-order negative-curvature methods for box-constrained and general constrained optimization
On R-linear convergence analysis for a class of gradient methods
Solving Convex MINLP Optimization Problems Using a Sequential Cutting Plane Algorithm
Hybrid limited memory gradient projection methods for box-constrained optimization problems
Sufficient weighted complementarity problems
Using an outward selective pressure for improving the search quality of the MOEA/D algorithm
Nonconvex robust programming via value-function optimization
The split Bregman algorithm applied to PDE-constrained optimization problems with total variation regularization
A stochastic variance-reduced accelerated primal-dual method for finite-sum saddle-point problems
Implementing and modifying Broyden class updates for large scale optimization
Using a hybrid preconditioner for solving large-scale linear systems arising from interior point methods
Robust portfolio optimization: a conic programming approach
A relaxed nonmonotone adaptive trust region method for solving unconstrained optimization problems
On a numerical shape optimization approach for a class of free boundary problems
Iterative Averaging of Entropic Projections for Solving Stochastic Convex Feasibility Problems
A distributed algorithm for high-dimension convex quadratically constrained quadratic programs
α -Conservative approximation for probabilistically constrained convex programs
A parallel splitting ALM-based algorithm for separable convex programming
On the Convergence of Inhomogeneous Markov Chains Approximating Equilibrium Placements of Flexible Objects
A Scalable Parallel Interior Point Algorithm for Stochastic Linear Programming and Robust Optimization
Lipschitz Continuity of inf-Projections
Interval Methods for Semi-Infinite Programs
Postponing the Choice of Penalty Parameter and Step Length
Capital rationing problems under uncertainty and risk
Structured regularization for barrier NLP solvers
Finding multi-objective supported efficient spanning trees
A boosted DC algorithm for non-differentiable DC components with non-monotone line search
New Inexact Parallel Variable Distribution Algorithms
On an inexact gradient method using Proper Orthogonal Decomposition for parabolic optimal control problems
Performance of first- and second-order methods for \(\ell _1\) -regularized least squares problems
Convergence rates for an inexact ADMM applied to separable convex optimization
Convergence of a stabilized SQP method for equality constrained optimization
An adaptive regularized proximal Newton-type methods for composite optimization over the Stiefel manifold
A sequential adaptive regularisation using cubics algorithm for solving nonlinear equality constrained optimization
The Levenberg-Marquardt method: an overview of modern convergence theories and more
Majorization-minimization-based Levenberg-Marquardt method for constrained nonlinear least squares
A dual spectral projected gradient method for log-determinant semidefinite problems
Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization
A second-order cone cutting surface method: complexity and application
A primal-dual interior point method for large-scale free material optimization
Global Convergence of a Memory Gradient Method for Unconstrained Optimization
Preconditioning Newton-Krylov methods in nonconvex large scale optimization
Newton-like methods for efficient solutions in vector optimization
Gauss-Newton-type methods for bilevel optimization
An Eulerian-Lagrangian method for optimization problems governed by multidimensional nonlinear hyperbolic PDEs
Exploiting Intermediate Sparsity in Computing Derivatives for a Leapfrog Scheme
A Logarithmic-Quadratic Proximal Method for Variational Inequalities
Combining Lagrangian decomposition and excessive gap smoothing technique for solving large-scale separable convex optimization problems
A trust-region LP-Newton method for constrained nonsmooth equations under Hölder metric subregularity
Local models - an approach to distributed multi-objective optimization
The weighted Euclidean one-center problem in ${\mathbb {R}}^n$
Inexact Successive quadratic approximation for regularized optimization
An exact algorithm for the sequential ordering problem and its application to switching energy minimization in compilers
Inexact proximal Newton methods in Hilbert spaces
Riemannian Adaptive Regularized Newton Methods with Hölder Continuous Hessians
An augmented Lagrangian algorithm for multi-objective optimization
Iterative Methods of Solving Stochastic Convex Feasibility Problems and Applications
Convergent Lagrangian and domain cut method for nonlinear knapsack problems
Constructions of complementarity functions and merit functions for circular cone complementarity problem
Sequential Quadratic Programming Methods for Large-Scale Problems
Tractable ADMM schemes for computing KKT points and local minimizers for $$\ell _0$$ ℓ 0 -minimization problems
Iteratively reweighted \(\ell _1\) algorithms with extrapolation
Updating the regularization parameter in the adaptive cubic regularization algorithm
Spherical minimax location problem using the Euclidean norm: Formulation and optimization
Local saddle points for unconstrained polynomial optimization
Optimization of nonlocal time-delayed feedback controllers
Smoothing approach to Nash equilibrium formulations for a class of equilibrium problems with shared complementarity constraints
Simple approximative algorithms for free-support Wasserstein barycenters
A subgradient method for multiobjective optimization
A partial outer convexification approach to control transmission lines
prunAdag: an adaptive pruning-aware gradient method
Local convergence of quasi-Newton methods under metric regularity
Towards an efficient augmented Lagrangian method for convex quadratic programming
A DIRECT-based approach exploiting local minimizations for the solution of large-scale global optimization problems
Approximate Gradient Projection Method with Runge-Kutta Schemes for Optimal Control Problems
On efficient matheuristic algorithms for multi-period stochastic facility location-assignment problems
A Frank-Wolfe Type Theorem for Convex Polynomial Programs
Formulations and algorithms for the simple cycle problem
Enhancements of discretization approaches for non-convex mixed-integer quadratically constrained quadratic programming: part II
Correction: Robust approximation of chance constrained optimization with polynomial perturbation
Parallel structural optimization applied to bone remodeling on distributed memory machines
Algorithm for cardinality-constrained quadratic optimization
A posteriori error estimation and adaptivity for elliptic optimal control problems with state constraints
Structured minimal-memory inexact quasi-Newton method and secant preconditioners for augmented Lagrangian optimization
A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization
Penalty and relaxation methods for the optimal placement and operation of control valves in water supply networks
A parameterized Newton method and a quasi-Newton method for nonsmooth equations
Conic approximation to quadratic optimization with linear complementarity constraints
A Post-Optimality Analysis Algorithm for Multi-Objective Optimization
Generalized symmetric ADMM for separable convex optimization
A partially parallel splitting method for multiple-block separable convex programming with applications to robust PCA
Distribution-free algorithms for predictive stochastic programming in the presence of streaming data
A nonmonotone trust-region method for generalized Nash equilibrium and related problems with strong convergence properties
Auction algorithms for network flow problems: A tutorial introduction
Study of a primal-dual algorithm for equality constrained minimization
A parallel algorithm for two-staged two-dimensional fixed-orientation cutting problems
Perturbation analysis of the euclidean distance matrix optimization problem and its numerical implications
Bounds for the solutions of absolute value equations
Correction: A Bregman-Kaczmarz method for nonlinear systems of equations
Implementation of interior-point methods for LP based on Krylov subspace iterative solvers with inner-iteration preconditioning
Nonmonotone trust region algorithm for solving the unconstrained multiobjective optimization problems
A time-consistent Benders decomposition method for multistage distributionally robust stochastic optimization with a scenario tree structure
A path-following inexact Newton method for PDE-constrained optimal control in BV
Levenberg-Marquardt method based on probabilistic Jacobian models for nonlinear equations
Regularized Jacobi-type ADMM-methods for a class of separable convex optimization problems in Hilbert spaces
Generation of disjointly constrained bilinear programming test problems
A full second order variational model for multiscale texture analysis
An effective adaptive trust region algorithm for nonsmooth minimization
An interior point-proximal method of multipliers for convex quadratic programming