Program for stream Nonlinear Optimization

TC-26: Topics in Nonlinear Optimization
Stream: Nonlinear Optimization
Room: Virtual Room 26
Chair(s): Michal Kocvara

• Anderson Accelerated Douglas-Rachford Splitting
  Anqi Fu, Junzi Zhang, Stephen Boyd
• Coordinate descent with greedy coordinate selection for optimization on the orthogonal group
  Estelle Massart, Vinayak Abrol
• Relaxed alternating minimization algorithm for convex optimization problems in image denoising
  Yuchao Tang
• Non-smooth optimization in complex numbers for the ACOPF problem
  Antoine Oustry, Leo Liberti, Claudia D'Ambrosio, Jean Maeght, Manuel Ruiz

TD-26: Interior point algorithms in convex optimization II
Stream: Nonlinear Optimization
Room: Virtual Room 26
Chair(s): Marianna E.-Nagy, Petra Renáta Rigó

• An interior-point method for low-rank semidefinite programming with application to truss topology optimization
  Michal Kocvara, Soodeh Habibi, Michael Stingl
• A Feasible-Inexact Quantum Interior Point Method for Semidefinite Optimization
  Brandon Augustino, Giacomo Nannicini, Tamás Terlaky, Luis Zuluaga
• Predictor-Corrector Infeasible IPM for Horizontal Linear Complementarity Problems over Cartesian Product of Symmetric Cones
  Soodabeh Asadi Dezaki
• A new stopping criterion for PCG applied in IPM
  Filippo Zanetti, Jacek Gondzio

TE-26: Interior point algorithms in convex optimization I
Stream: Nonlinear Optimization
Room: Virtual Room 26
Chair(s): Marianna E.-Nagy, Petra Renáta Rigó

• A family of long-step interior point algorithms using transformed search directions for linear programming
  Marianna E.-Nagy, Anita Varga
• A new long-step interior point algorithm for sufficient linear complementarity problems with transformed search directions
  Anita Varga, Marianna E.-Nagy
• Predictor-corrector interior-point algorithm for sufficient linear complementarity problems using a wide neighbourhood of the central path
  Roland Török, Tibor Illés, Petra Renáta Rigó
• New interior-point algorithm for symmetric cone horizontal linear complementarity problems
  Zsolt Darvay, Petra Renáta Rigó

TF-26: Linear complementarity problems and their applications
Stream: Nonlinear Optimization
Room: Virtual Room 26
Chair(s): Marianna E.-Nagy, Petra Renáta Rigó

• A full Newton-step interior-point method for weighted linear complementarity problem
  Goran Lesaja, Zsolt Darvay, Soodabeh Asadi Dezaki, Nezam Mahdavi-Amiri, Florian Potra
• Sufficient matrices and linear complementarity problems
  Tibor Illés
• Detection sufficient matrices by linear and non-linear programming
  Janez Povh, Marianna E.-Nagy, Anita Varga, Janez Žerovnik, Tibor Illés
• Predictor-corrector interior-point algorithm for solving sufficient linear complementarity problems based on a new search direction
  Petra Renáta Rigó, Tibor Illés, Zsolt Darvay

WA-26: Nonlinear Optimization Theory and Methods
Stream: Nonlinear Optimization
Room: Virtual Room 26
Chair(s): Yaohua Hu, Zhilong Dong

• Equipping the Barzilai-Borwein gradient method with two-dimensional quadratic termination property
  Yu-Hong Dai
• On some extended mixed integer optimization models of the Eisenberg–Noe model in systemic risk management
  Zhilong Dong
• An Efficient Approach for Projection onto the Nonconvex $l_p$ Ball
  Hao Wang
• Lipschitz-like property relative to a set and the generalized Mordukhovich criterion
  Xiaoqi Yang

WB-26: Sparse Optimization Theory and Methods
Stream: Nonlinear Optimization
Room: Virtual Room 26
Chair(s): Yaohua Hu, Fengmin XU

• Group Sparse Enhanced Indexation Model with Adaptive Beta Value
  Fengmin XU
• Trace Lasso Regularization for Adaptive Sparse Canonical Correlation Analysis via Manifold Optimization Approach
  Zheng Peng
• Regularization parameter selection for the low rank matrix recovery
  Pan Shang, Lingchen Kong
• Mix Sparse Optimization: Theory and Applications
  Yaohua Hu

WC-26: Recent advances on preconditioning for PDE-Constrained optimization
Stream: Nonlinear Optimization
Room: Virtual Room 26
Chair(s): Margherita Porcelli

• Deferred correction, Newton-Krylov methods, and preconditioning for time-dependent PDE-constrained optimization
  John Pearson
• Preconditioners for saddle point weak-constraint 4D-Var with correlated observation errors
  Jemima Tabeart, John Pearson
• A New Preconditioning Approach for an Interior Point--Proximal Method of Multipliers for Linear and Convex Quadratic Programming
  Luca Bergamaschi
• A low-rank matrix equation method for solving PDE-constrained optimization
  Alexandra Buenger, Valeria Simoncini, Martin Stoll