Computational Challenges in Structural Optimization

Modified Barrier Multigrid Methods for Topology Optimization

Truss topology design and sizing optimization with kinematic stability

Accelerated majorization based optimization for large-scale signal processing: Some new theoretical concepts and applications

Parallel best-response algorithms for nonsmooth nonconvex optimization with applications in matrix factorization and network anomaly detection

Vector Transport-Free SVRG with General Retraction for Riemannian Optimization: Complexity Analysis and Practical Implementation

A two-level distributed algorithm for constrained nonconvex programs with global convergence

Large-Scale Clustering by Distributed Orthogonally Constrained NMF Model

Recovery of a mixture of Gaussians by sum-of-norms clustering

A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems

A semismooth Newton based augmented Lagrangian method for solving the support vector machine problems

A Semismooth Newton Method for Support Vector Classification and Regression

A variational inequality approach to model green transport network

Common zero of lower semicontinuous function and monotone operator

Existence results for equilibrium problems and mixed variational inequalities

Sensitivity of rate-independent evolutions

A Newton-type method for the solution of complementarity problems

Numerical Solution Strategies for the Elastoplasticity Problem with Finite Deformations

Combining symmetry reduction and facial reduction for semidefinite programming

Lower Bounds for the Bandwidth Problem

A new look at symmetry reduction of semidefinite relaxations of the quadratic assignment problem

An analysis of multistationarity in n-site phosphorylation cycle using circuit polynomials

Matrices of bounded factor width and sums of $k$-nomial squares

Symmetry and Nonnegativity

A splitting method for three operators involving Lipschitzian operators

Parallel random block-coordinate forward-backward algorithm: A complete convergence analysis

A general Bregman-based splitting scheme for monotone inclusions

Gradient Methods with Regularization for Optimization Problems in Hilbert spaces

An Introduction to Fractional Dimensional Optimization Problem

Discrete choice prox-functions on the simplex

COMO-CMA-ES: a linearly convergent derivative free multi-objective solver

MADMS: Mesh adaptive direct multisearch for blackbox constrained multiobjective optimization

On the use of quadratic polynomial models in multiobjective directional direct search

Nonlinear scalarizations in set optimization problems

Relationships between Clarke-Ye type penalization and vectorial penalization in multi-objective optimization

Convex Multiobjective Optimization by the Reference Point Method

Riemannian optimization for some problems in probability and statistics

Riemannian optimization for computing canonical polyadic decompositions

Complexity of optimization on manifolds, and cubic regularization

The complexity of finding stationary points of nonconvex functions

Recent results in worst-case evaluation complexity for smooth and non-smooth, exact and inexact, nonconvex optimization

A Newton-like method with mixed factorizations and cubic regularization and its usage in an Augmented Lagrangian framework

Automatic Differentiation Software for Large-scale Nonlinear Optimization Problems

structure detection in generic quadratic programming

Relative Minimization Profiles: A Different Perspective for Benchmarking Optimization and Other Numerical Software

A Subsampling Line-Search Method with Second-Order Results

Stochastic Three Points Method for Unconstrained Smooth Minimization

Remarks on a Greedy Randomized Kaczmarz Algorithm

Minimization of nonsmooth nonconvex functions using inexact evaluations and its worst-case complexity

Preconditioning of the L-BFGS-B algorithm for aerodynamic shape design

Multilevel optimization methods for the training of artificial neural networks

Accelerated generalized conditional gradient methods

Optimal control of elliptic variational inequalities using bundle methods in Hilbert space

Variational discretization for an optimal control problem governed by the wave equation with time depending BV controls

Infimum gap phenomena, set separation, and abnormality.

Optimality conditions for systems with piecewise constant dynamics

Some regularity results for minimizers in dynamic optimization

External optimal control of fractional parabolic PDEs

A Bundle Trust-Region Method for Constrained Nonsmooth Problems applied to a Shape Optimization for Frictional Contact Problems

Parametric Scenario Optimization under Limited Data: A Distributionally Robust Optimization View

Statistical calibration for robust optimization

Extreme Event Estimation via Distributionally Robust Optimization

Data Driven Approach for Full Cut Promotion in E-commerce

Data-Driven Distributionally Robust Appointment Scheduling

Disaster Relief Resource Preposition and Redeployment Facing the Adversarial Nature

Model Consistency for Learning with low-complexity priors

Are we there yet? Manifold identification of gradient-related proximal methods

Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise

Two-stage stochastic variational inequalities and non-cooperative games

A Facet Pivoting Algorithm for Solving Linear Programming with Box Constraints

Worst-case CVaR portfolio rebalancing with cardinality and diversification constraints