The Dynamics Competition of Key Elements of Sustainable Technology -- the Rare Earth Elements
Do we really need heterogenous agent models under recursive utility?
An Alternating Algorithm for Finding Linear Arrow-Debreu Market Equilibrium
Pressure and energy optimization of water distribution systems without storage capacity.
Semi-automatically optimized calibration of internal combustion engines
Noisy Matrix Completion: Bridging Convex and Nonconvex Optimization
Variational Transport: A Convergent Particle-Based Algorithm for Distributional Optimization
Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training
Nonmonotone Enhanced Proximal DC Algorithms for a Class of Structured Nonsmooth DC Programming
Stochastic proximal gradient methods for non-smooth non-convex optimization
Random projections for conic LP
Linear Convergence of Variable Bregman Stochastic Coordinate Descent Method for Nonsmooth Nonconvex Optimization by Level-set Variational Analysis
Compressed Gradient Methods with Memory-Based Error Compensation
Underestimate Sequences and Quadratic Averaging
Foam prediction to improve biogas production using anaerobic digestion
Gauss-Newton-type method for bilevel optimization
An inertial extrapolation method for convex simple bilevel optimization
A primal-dual algorithm for expontial-cone optimization
A Linear-Time Algorithm for Generalized Trust Region Subproblem based on a Convex Quadratic Reformulation
Disjunctive conic cuts: the good, the bad, and implementation
RAPOSa, a freely available solver for polynomial optimization problems
Higher-order moment portfolio optimization via DC programming and sums-of-squares
Exact Relaxation of Homogeneous Quadratically Constrained Quadratic Programs with Tree Structure
Polynomial complexity and local convergence of an interior point algorithm on semi-definite linear complementarity problems
Randomized multi-block ADMM based iterative methods for solving large scale coupled convex problems
Primal ``non-commutative'' interior-point methods for semidefinite programming
Deterministic distributed asynchronous optimization with Dykstra's splitting
Separate and Project: Nonlinear Forward-Backward Splitting with Projection Correction
Computer-aided proofs for operator splitting
AAR-Based Decomposition Method For Limit Analysis
High Quality Reconstruction with Euler's elastica-based methods
Fenchel duality for convex optimization on Riemannian manifolds
A Surrogate for Local Optimization using Delaunay Triangulations
Detecting model uncertainty via parameter estimation and optimal design of experiments
Convergence properties of line search strategies for multi-modal functions
A primal-dual parallel method with \ensuremath{MCAL{O}(1/\epsilon)} convergence for constrained composite convex programs
Iteration Complexity for Constrained Optimization Problem under Local Error Bound and Weak Convexity
Lower complexity bounds of first-order methods for some machine learning models
Necessary and sufficient optimality conditions for p-regular inequality constrained optimization problems
Optimization Problems with Additional Abstract Set Constraints
Optimality conditions for a class of multiobjective interval valued fractional programming problem
Geometric optimization using nonlinear rotation-invariant coordinates
Iteration-complexity and asymptotic analysis of steepest descent method for multiobjective optimization on Riemannian manifolds
Reconstructing manifold-valued images using total variation regularization and related methods
Measure-valued Variational Models for Non-Convex Imaging Problems
Generalized optimality conditions for weak Pareto-optimal solutions on Riemannian manifolds
A primal-dual algorithm for PDE-constrained optimization under uncertainty
Robustness aspects in model validation for dynamic processes
Multilevel Quasi-Monte Carlo for stochastic PDE constrained optimization
Optimistic Likelihood Problems Using (Geodesically) Convex Optimization
Data Analytics with B(R)agging Prediction Models.
Allocation Inequality in Cost Sharing Problem
Measure-Valued Variational Image Processing
A unified variational joint reconstruction and registration model for motion-compensated MRI
Variational Graph Methods for Efficient Point Cloud Sparsification