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Program for stream Nonlinear Optimization
Sunday
Monday
Tuesday
Tuesday, 12:30-14:00
TC-26: Topics in Nonlinear Optimization
Stream: Nonlinear Optimization
Room: Virtual Room 26
Chair(s):
Michal Kocvara
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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
Tuesday, 14:30-16:00
TD-26: Interior point algorithms in convex optimization II
Stream: Nonlinear Optimization
Room: Virtual Room 26
Chair(s):
Marianna E.-Nagy, Petra Renáta Rigó
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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
Tuesday, 16:30-18:00
TE-26: Interior point algorithms in convex optimization I
Stream: Nonlinear Optimization
Room: Virtual Room 26
Chair(s):
Marianna E.-Nagy, Petra Renáta Rigó
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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
Tuesday, 18:30-20:00
TF-26: Linear complementarity problems and their applications
Stream: Nonlinear Optimization
Room: Virtual Room 26
Chair(s):
Marianna E.-Nagy, Petra Renáta Rigó
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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
Wednesday
Wednesday, 8:30-10:00
WA-26: Nonlinear Optimization Theory and Methods
Stream: Nonlinear Optimization
Room: Virtual Room 26
Chair(s):
Yaohua Hu, Zhilong Dong
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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
Wednesday, 10:30-12:00
WB-26: Sparse Optimization Theory and Methods
Stream: Nonlinear Optimization
Room: Virtual Room 26
Chair(s):
Yaohua Hu, Fengmin XU
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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
Wednesday, 12:30-14:00
WC-26: Recent advances on preconditioning for PDE-Constrained optimization
Stream: Nonlinear Optimization
Room: Virtual Room 26
Chair(s):
Margherita Porcelli
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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