All Research Papers Published In SIAM Journal on Optimization

A General Framework for Symmetric and Asymmetric Variable Metric Proximal Point Methods, with Relations between Relative-Errors and Summable-Errors

Interior-Point Algorithms with Full Newton Steps for Nonsymmetric Convex Conic Optimization

A Systematic Approach to General Higher-Order Majorization-Minimization Algorithms for (Non)convex Optimization

Euclidean Distance Degree in Manifold Optimization

Nonconvex Nonsmooth Multicomposite Optimization and Its Applications to Recurrent Neural Networks

Relative Well-Posedness of Truncated Constrained Systems Accompanied by Variational Calculus

An Inexact Feasible Interior Point Method for Linear Optimization with High Adaptability to Quantum Computers

Grassmannian Optimization Is NP-Hard

Convex Ternary Quartics Are SOS-Convex

The Lovász Theta Function for Recovering Planted Clique Covers and Graph Colorings