yusuke1997/dblp-id-title huggingface dataset:
Projection methods for conic feasibility problems: applications to polynomial sum-of-squares decompositions
On the Development of an Outranking Relation for Ordinal Classification Problems: An Experimental Investigation of a New Methodology
A two-step new modulus-based matrix splitting method for vertical linear complementarity problem
A usability case study of algorithmic differentiation tools on the ISSM ice sheet model
Reverse automatic differentiation for optimum design: from adjoint state assembly to gradient computation
On the rate of convergence of projected Barzilai-Borwein methods
Dual formulation of the sparsity constrained optimization problem: application to classification
A filter-trust-region method for simple-bound constrained optimization
Feasible Newton methods for symmetric tensor Z -eigenvalue problems
O-PCF algorithm for one-class classification
An efficient hybrid conjugate gradient method with sufficient descent property for unconstrained optimization
On two numerical methods for state-constrained elliptic control problems
Cutting plane algorithms for robust conic convex optimization problems
Parametric approach for correcting inconsistent linear equality system
Wing drag minimization by using measure theory
An adaptive finite-element Moreau-Yosida-based solver for a non-smooth Cahn-Hilliard problem
Differential continuation for regular optimal control problems
Approaches for solving the stochastic equilibrium assignment with variable demand: internal vs. external solution algorithms
Branch-locking AD techniques for nonsmooth composite functions and nonsmooth implicit functions
A new marking strategy for the adaptive finite element approximation of optimal control constrained problems
A separable nonlinear model for the multicommodity flow problem
A competitive inexact nonmonotone filter SQP method: convergence analysis and numerical results
Sequential threshold control in descent splitting methods for decomposable optimization problems
Stochastic block projection algorithms with extrapolation for convex feasibility problems
Improving particle swarm optimization performance with local search for high-dimensional function optimization
Error estimates for linear-quadratic control problems with control constraints
Universal intermediate gradient method for convex problems with inexact oracle
Stochastic approximation versus sample average approximation for Wasserstein barycenters
An adaptive conic trust-region method for unconstrained optimization
More on second-order properties of the Moreau regularization-approximation of a convex function
A Gauss-Newton method for solving bound-constrained underdetermined nonlinear systems
A parallel decomposition algorithm for training multiclass kernel-based vector machines
Parallel algorithm for support vector machines training and quadratic optimization problems
A commentary on some recent methods in sibling group reconstruction based on set coverings
On conjugate gradient algorithms as objects of scientific study
Linear convergence of a modified Frank-Wolfe algorithm for computing minimum-volume enclosing ellipsoids
Solving semidefinite programs using preconditioned conjugate gradients
Efficient numerical methods to solve sparse linear equations with application to PageRank
Semismooth Newton-type method for bilevel optimization: global convergence and extensive numerical experiments
Optimization and management in manufacturing engineering: resource collaborative optimization and management through the internet of things
Linear potential proximal support vector machines for pattern classification
An integer program and a hybrid genetic algorithm for the university timetabling problem
Modified Popov's explicit iterative algorithms for solving pseudomonotone equilibrium problems
Another nonlinear conjugate gradient algorithm for unconstrained optimization
Protein image alignment via tensor product cubic splines
Multiobjective optimization by using cutting angle methods and hypervolume criterion
Multiloop transportation simplex algorithm
Multidimensional global optimization using numerical estimates of objective function derivatives
Estimating the expansion coefficients of a geomagnetic field model using first-order derivatives of associated Legendre functions
A pivoting algorithm for linear programming with linear complementarity constraints
On the worst-case complexity of nonlinear stepsize control algorithms for convex unconstrained optimization
Some superlinearly convergent inexact generalized Newton method for solving nonsmooth equations
Diagonal quasi-Newton method via variational principle under generalized Frobenius norm
From feasibility to improvement to proof: three phases of solving mixed-integer programs
An interior point method for nonlinear constrained derivative-free optimization
Error correction for massive datasets
Dynamical approaches and multi-quadratic integer programming for seizure prediction
Clustering aided approach for decision making in computationally expensive multiobjective optimization
GPU parameter tuning for tall and skinny dense linear least squares problems
On-line SVM learning via an incremental primal-dual technique
Symmetry of convex sets and its applications to the extremal ellipsoids of convex bodies
The continuous-time problem with interval-valued functions: applications to economic equilibrium
Implementation of interior point methods for mixed semidefinite and second order cone optimization problems
A C++application programming interface for biased random-key genetic algorithms
Infinite dimensional tensor variational inequalities with applications to an economic equilibrium problem
Minimizing quadratic functions with separable quadratic constraints
Semi-infinite programming approach to nonlinear time-delayed optimal control problems with linear continuous constraints
Complexity and performance of an Augmented Lagrangian algorithm
Splitting methods for the Eigenvalue Complementarity Problem
A Modified Trust Region Algorithm
On the computation of relaxed pessimistic solutions to MPECs
Global optimization for sparse solution of least squares problems
Discretization and quantification for distributionally robust optimization with decision-dependent ambiguity sets
A polynomial-time algorithm for linear optimization based on a new simple kernel function
Jordan-algebraic aspects of optimization: randomization
A Complexity Analysis of Local Search Algorithms in Global Optimization
Finding zeros of Hölder metrically subregular mappings via globally convergent Levenberg-Marquardt methods
A new solution method for equilibrium problems
A priori stopping rule for an iterative Bregman method for optimal control problems
Weakly-convex-concave min-max optimization: provable algorithms and applications in machine learning
Piecewise polynomial interpolations and approximations of one-dimensional functions through mixed integer linear programming
Observability inequality of backward stochastic heat equations with Lévy process for measurable sets and its applications
Real time input subset selection for linear time-variant MIMO systems
A bundle trust-region algorithm for nonsmooth nonconvex constrained optimization
Towards a deeper geometric, analytic and algorithmic understanding of margins
Fast implementation for semidefinite programs with positive matrix completion
Strict linear prices in non-convex European day-ahead electricity markets
Addressing supply-side risk in uncertain power markets: stochastic Nash models, scalable algorithms and error analysis
Differentiating through conjugate gradient
High-accuracy solution of large-scale semidefinite programs
Sparse interpolatory reduced-order models for simulation of light-induced molecular transformations
The Dai-Liao-type conjugate gradient methods for solving vector optimization problems
Superlinear convergence of an interior point algorithm on linear semi-definite feasibility problems
Nonlinear conjugate gradient methods for the optimal control of laser surface hardening
Improved convergence results for a modified Levenberg-Marquardt method for nonlinear equations and applications in MPCC
A minima tracking variant of semi-infinite programming for the treatment of path constraints within direct solution of optimal control problems
Optimizing Teardrop, an MRI sampling trajectory
A stabilized model and an efficient solution method for the yearly optimal power management
A surrogate management framework using rigorous trust-region steps
The study of drug-reaction relationships using global optimization techniques
Minimax approximation from a least squares solution
On the complexity of solving feasibility problems with regularized models
Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays
Convex optimization theory
A minisum location problem with regional demand considering farthest Euclidean distances
Provably near-optimal solutions for very large single-row facility layout problems
Robust reverse 1-center problems on trees with interval costs
Convergence Properties of the Inexact Levenberg-Marquardt Method under Local Error Bound Conditions
Prox-regularization of the dual method of centers for generalized fractional programs
Mathematical diagnostics via nonsmooth analysis
Efficient recurrent neural network model for the solution of general nonlinear optimization problems
Robust ν-support vector machine based on worst-case conditional value-at-risk minimization
A generic online acceleration scheme for optimization algorithms via relaxation and inertia
Steering exact penalty methods for nonlinear programming
A new multipoint symmetric secant method with a dense initial matrix
Shifted L-BFGS systems
Interior-point methods for symmetric optimization based on a class of non-coercive kernel functions
A convergent inexact solution method for equilibrium problems
A sharp augmented Lagrangian-based method in constrained non-convex optimization
Vector equilibrium problems under improvement sets and linear scalarization with stability applications
A proximal-gradient inertial algorithm with Tikhonov regularization: strong convergence to the minimal norm solution
Solving rank one perturbed linear Diophantine systems by the ABS method
Nonmonotone spectral methods for large-scale nonlinear systems
Least squares monotonic unimodal approximations to successively updated data and an application to a Covid-19 outbreak
A robust combined trust region-line search exact penalty projected structured scheme for constrained nonlinear least squares
Minimum-cost flow algorithms: an experimental evaluation
On the P * (κ) horizontal linear complementarity problems over Cartesian product of symmetric cones
Integration of Two Multiobjective Optimization Methods for Nonlinear Problems
A nonlinear complementarity approach to multiuser power control for digital subscriber lines
Fast semi-supervised SVM classifiers using a priori metric information
A non-monotonic method for large-scale non-negative least squares
Conic optimization-based algorithms for nonnegative matrix factorization
SC 1 optimization reformulations of the generalized Nash equilibrium problem
On CG algorithms as objects of scientific study: An appendix
Limiting behavior of the central path in semidefinite optimization
On the accuracy of uniform polyhedral approximations of the copositive cone
Non-asymptotic confidence bounds for the optimal value of a stochastic program
Proximal gradient method with automatic selection of the parameter by automatic differentiation
Minimax analysis of stochastic problems
An interior point method for nonlinear programming with infeasibility detection capabilities
Optimal control in radiative transfer
New criss-cross type algorithms for linear complementarity problems with sufficient matrices
Exponential augmented Lagrangian methods for equilibrium problems
On a multilevel Levenberg-Marquardt method for the training of artificial neural networks and its application to the solution of partial differential equations
A dynamic large-update primal-dual interior-point method for linear optimization
Nonmonotone globalization of the finite-difference Newton-GMRES method for nonlinear equations
Some descent three-term conjugate gradient methods and their global convergence
Optimal trade-off portfolio selection between total risk and maximum relative marginal risk
Gradient projection methods for quadratic programs and applications in training support vector machines
On the asymmetric eigenvalue complementarity problem
𝒱𝒰-smoothness and proximal point results for some nonconvex functions
An optimal interpolation set for model-based derivative-free optimization methods
A new framework for the computation of Hessians
Γ-robust linear complementarity problems
An ADMM-based interior-point method for large-scale linear programming
On the implementation of interior point methods for dual-core platforms
Embedding methods for semidefinite programming
MIP presolve techniques for a PDE-based supply chain model
Shortest path reoptimization vs resolution from scratch: a computational comparison
Generation of classes of symmetric rank-2 secant updates and the maximality of the Davidon class
Low rank updates in preconditioning the saddle point systems arising from data assimilation problems
Dynamic programming approaches to solve the shortest path problem with forbidden paths
Domain decomposition and balanced truncation model reduction for shape optimization of the Stokes system
CONORBIT: constrained optimization by radial basis function interpolation in trust regions
Numerical experience with a recursive trust-region method for multilevel nonlinear bound-constrained optimization
Path-following methods for shape optimal design of periodic microstructural materials
Second order cone programming relaxation of a positive semidefinite constraint
A discrete dynamic convexized method for VLSI circuit partitioning
On the differentiability check in gradient sampling methods
Linear programming with nonparametric penalty programs and iterated thresholding
Foreword: special issue for the 70th birthday of professor Olvi Mangasarian
An algorithm for quadratic ℓ 1 -regularized optimization with a flexible active-set strategy
A hybrid particle swarm approach based on Tribes and tabu search for multi-objective optimization
INTLAB implementation of an interval global optimization algorithm
Duality in quasi-Newton methods and new variational characterizations of the DFP and BFGS updates
An Alternating Augmented Lagrangian method for constrained nonconvex optimization
Using automatic differentiation for compressive sensing in uncertainty quantification
Linear programing formulations and algorithms for radiotherapy treatment planning
A robust multi-batch L-BFGS method for machine learning
Adaptive trust-region algorithms for unconstrained optimization
Depth-first simplicial partition for copositivity detection, with an application to MaxClique
Interior-point methods based on kernel functions for symmetric optimization
AB /Push-Pull method for distributed optimization in time-varying directed networks
A-revolve: an adaptive memory-reduced procedure for calculating adjoints; with an application to computing adjoints of the instationary Navier-Stokes system
GpoSolver: a Matlab/C++ toolbox for global polynomial optimization
Newton-based optimization for Kullback-Leibler nonnegative tensor factorizations
A new randomized primal-dual algorithm for convex optimization with fast last iterate convergence rates
Two-stage stochastic mixed integer optimization models for power generation capacity expansion with risk measures
Least squares methods in maximum likelihood problems
Trust-region interior-point method for large sparse l 1 optimization
Derivative-free bound-constrained optimization for solving structured problems with surrogate models
Quasi-Newton methods for machine learning: forget the past, just sample
Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures
Line-search based optimization using function approximations with tunable accuracy
A symmetric rank-one quasi-Newton line-search method using negative curvature directions
Computing test sets for integer programming
An alternating minimization method for robust principal component analysis
Relaxed proximal point algorithms for variational inequalities with multi-valued operators
A new class of efficient and globally convergent conjugate gradient methods in the Dai-Liao family
The use of a family of Gerstewitz scalarization functions in the context of vector optimization with variable domination structures to derive scalarization results
Full Nesterov-Todd step feasible interior-point method for the Cartesian P * (κ)-SCLCP
On solving the minimization problem and the fixed-point problem for nonexpansive mappings in CAT(0) spaces
Algorithmic differentiation techniques for global optimization in the COCONUT environment
Approximating Hessian matrices using Bayesian inference: a new approach for quasi-Newton methods in stochastic optimization
Computational and sensitivity aspects of eigenvalue-based methods for the large-scale trust-region subproblem
Convergence rate analysis and error bounds for projection algorithms in convex feasibility problems
Parallel algorithm portfolios with performance forecasting
A successive linear programming algorithm for nonsmooth monotone variational inequalities
Dualize it: software for automatic primal and dual conversions of conic programs
ICOS: a branch and bound based solver for rigorous global optimization
Sequential hierarchical least-squares programming for prioritized non-linear optimal control
SIMPLE adjoint message passing
Solving quadratically constrained convex optimization problems with an interior-point method
Computational enhancements in low-rank semidefinite programming
Approximation of the quantile minimization problem with decision rules
Newton step methods for AD of an objective defined using implicit functions
Forward-backward-based descent methods for composite variational inequalities
An equivalent nonlinear optimization model with triangular low-rank factorization for semidefinite programs
Mean-variance portfolio optimization with parameter sensitivity control
A pattern search and implicit filtering algorithm for solving linearly constrained minimization problems with noisy objective functions
Classification model selection via bilevel programming
On the first- and second-order strongly monotone dynamical systems and minimization problems
Convex nondifferentiable optimization: A survey focused on the analytic center cutting plane method
Iterative learning control as a method of experiment design for improved system identification
Comparison of optimal controls for a model in cancer chemotherapy with L 1 - and L 2 -type objectives
A semismooth conjugate gradients method - theoretical analysis
Second-order Dini set-valued directional derivative in C 1, 1 vector optimization
Optimization of triangular networks with spatial constraints
A new class of quasi-Newton updating formulas
Online heuristic for the preemptive single machine scheduling problem of minimizing the total weighted completion time
Three-operator reflected forward-backward splitting algorithm with double inertial effects
Numerical performance of penalty method for American option pricing
On the inadequacy of VaR-based risk management: VaR, CVaR, and nonlinear interactions
An Oracle Strongly Polynomial Algorithm for Bottleneck Expansion Problems
Numerical methods for optimal control problems in design of robust optimal experiments for nonlinear dynamic processes
Pattern graph for sparse Hessian matrix determination
A comparative study of some real-coded genetic algorithms for unconstrained global optimization
ParaXpress: an experimental extension of the FICO Xpress-Optimizer to solve hard MIPs on supercomputers
Cooperative differential games with continuous updating using Hamilton-Jacobi-Bellman equation
Non-convex regularization and accelerated gradient algorithm for sparse portfolio selection
Application of scaled nonlinear conjugate-gradient algorithms to the inverse natural convection problem
Accelerated multiple step-size methods for solving unconstrained optimization problems
Implementation of sparse forward mode automatic differentiation with application to electromagnetic shape optimization
Stochastic proximal linear method for structured non-convex problems
A novel approach for solving a class of diffusion identification problems
Random derivative-free algorithm for solving unconstrained or bound constrained continuously differentiable non-linear problems
Randomized mechanism design for decentralized network scheduling
On greedy approximation algorithms for a class of two-stage stochastic assignment problems
The extended Ritz method for functional optimization: overview and applications to single-person and team optimal decision problems
Mixed-language automatic differentiation
An adaptive gradient sampling algorithm for non-smooth optimization
On evaluating higher-order derivatives of the QR decomposition of tall matrices with full column rank in forward and reverse mode algorithmic differentiation
PSwarm: a hybrid solver for linearly constrained global derivative-free optimization
Sequential value correction heuristic for the two-dimensional cutting stock problem with three-staged homogenous patterns
Solving quadratic multi-leader-follower games by smoothing the follower's best response
Maximizing the number of rides served for time-limited Dial-a-Ride
Optimization approach for clustering datasets with weights
Inducing strong convergence into the asymptotic behaviour of proximal splitting algorithms in Hilbert spaces
Non-intrusive termination of noisy optimization
Towards global parameter estimation exploiting reduced data sets
A low-rank coordinate-descent algorithm for semidefinite programming relaxations of optimal power flow
Computing subgradients of convex relaxations for solutions of parametric ordinary differential equations
Equivariant perturbation in Gomory and Johnson's infinite group problem (V). Software for the continuous and discontinuous 1-row case
AN-SPS: adaptive sample size nonmonotone line search spectral projected subgradient method for convex constrained optimization problems
Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations
Feasibility refinement in sequential quadratic programming using parametric sensitivity analysis
Truncated Gauss-Newton algorithms for Ill-conditioned nonlinear least squares problems
On the lot-type design problem
Riesz Basis Approach to the Tracking Control of a Flexible Beam with a Tip Rigid Body without Dissipativity
Global equilibrium search applied to the unconstrained binary quadratic optimization problem
An efficient exact approach for the constrained shortest path tour problem
Distributed learning with compressed gradient differences
A branch and bound method solving the max-min linear discriminant analysis problem
On the geometry phase in model-based algorithms for derivative-free optimization
On the Barzilai-Borwein gradient methods with structured secant equation for nonlinear least squares problems
Implementation of a robust SQP algorithm
Error bounds for support vector machines with application to the identification of active constraints
A framework for solving mixed-integer semidefinite programs
A stochastic approximation method for convex programming with many semidefinite constraints
A combined greedy-walk heuristic and simulated annealing approach for the closest string problem
Pattern search in the presence of degenerate linear constraints
Efficient numerical solution of parabolic optimization problems by finite element methods
Global optimization of general non-convex problems with intermediate bilinear substructures
Deterministic global optimization: an introduction to the diagonal approach
Barzilai-Borwein-like rules in proximal gradient schemes for ℓ 1 -regularized problems
An investigation of Newton-Sketch and subsampled Newton methods
Exceptionally regular tensors and tensor complementarity problems
The solution of euclidean norm trust region SQP subproblems via second-order cone programs: an overview and elementary introduction