Program for stream Nonlinear Programming: Methods

MA-14: On Proximal Algorithms for Structured Optimization Problems
Stream: Nonlinear Programming: Methods
Room: SOUTH BUILDING UV S202 (building 0)
Chair(s): Ting Kei Pong

• A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems
  Tianxiang LIU, Ting Kei Pong, Akiko Takeda
• a family of inexact sqa methods for non-smooth convex minimization with provable convergence guarantees based on the luo-tseng error bound property
  Man-Chung Yue
• Fast method for non-smooth non-convex minimization
  Peng Zheng
• Iteratively reweighted l1 algorithms with extrapolation
  Ting Kei Pong

MB-14: Fixed Point Algorithms in Optimisation I
Stream: Nonlinear Programming: Methods
Room: SOUTH BUILDING UV S202 (building 0)
Chair(s): Matthew Tam

• The asymptotic behavior of compositions of firmly nonexpansive mappings
  Adriana Nicolae
• Optimal rates of linear convergence of the averaged alternating modified reflections method for two subspaces
  Rubén Campoy, Francisco Javier Aragón Artacho
• Convergence properties of fixed point algorithms in the presence of perturbations
  Rafal Zalas
• On projection methods for phase retrieval
  Hieu Thao Nguyen

MC-14: Fixed Point Algorithms in Optimisation II
Stream: Nonlinear Programming: Methods
Room: SOUTH BUILDING UV S202 (building 0)
Chair(s): Matthew Tam

• An enhanced formulation for successfully solving graph coloring problems with the Douglas--Rachford algorithm
  Francisco Javier Aragón Artacho
• Fixed point iterations in the context of nonnegative matrix factorization
  Patrick Groetzner
• The steepest descent method for computing Riemannian center of mass on Hadamard manifolds
  João Carlos Souza, Glaydston de Carvalho Bento, Sandro Dimy Barbosa Bitar, João Xavier da Cruz Neto, Paulo Oliveira
• Union nonexpansive operators and applications
  Matthew Tam

MD-14: Methods for Large-Scale Optimization Problems
Stream: Nonlinear Programming: Methods
Room: SOUTH BUILDING UV S202 (building 0)
Chair(s): Zaikun Zhang

• A parallelizable algorithm for orthogonally constrained optimization problems
  Xin Liu
• A Levenberg-Marquardt method for large nonlinear least-squares problems with dynamic accuracy in functions and gradients
  Elisa Riccietti, Stefania Bellavia, Serge Gratton
• Accelerated Regularized Newton Methods for minimizing composite convex functions
  Geovani Grapiglia, Yurii Nesterov
• A space transformation framework for nonlinear optimization
  Zaikun Zhang, Serge Gratton, Luis Nunes Vicente

TA-14: Proximal Gradient-Type Algorithms
Stream: Nonlinear Programming: Methods
Room: SOUTH BUILDING UV S202 (building 0)
Chair(s): Junfeng Yang

• Some theoretical and numerical analysis for nonsmooth convex regression with cardinality penalty
  Wei Bian
• Iteratively dynamically reweighted methods for nonconvex regularized problems
  Hao Wang
• Proximal algorithms with extrapolation for structured nonconvex nonsmooth problems
  Bo WEN
• On progressive hedging algorithm for multistage stochastic programming and stochastic variational inequalities
  Junfeng Yang

TB-14: Sparse Optimisation with Applications
Stream: Nonlinear Programming: Methods
Room: SOUTH BUILDING UV S202 (building 0)
Chair(s): Xiaoqi Yang

• Restricted eigenvalue conditions and recovery bounds of l_q regularization problems
  Xiaoqi Yang
• Lower-order regularization method for group sparse optimization with applications in systems biology
  Yaohua Hu, Chong Li, Kaiwen Meng, Jing Qin, Xiaoqi Yang
• On the binary Eisenberg-Noe model and its extension
  Yu-Hong Dai
• Balance analysis of sparsity and robustness for portfolio adjustment problem
  Fengmin Xu

TC-14: Optimization Algorithms on Riemannian manifolds
Stream: Nonlinear Programming: Methods
Room: SOUTH BUILDING UV S202 (building 0)
Chair(s): Orizon P Ferreira, Chong Li

• A two-phase proximal-like algorithm in domains of positivity
  Paulo Oliveira
• Some tools in geometric optimization
  Genaro Lopez
• Newton's method for semismooth vector field on Riemannian manifolds
  Orizon P Ferreira, Fabiana R. de Oliveira
• Proximal point method for locally Lipschitz functions in multiobjective optimization on Hadamard manifolds
  Glaydston Bento, João Xavier da Cruz Neto, Lucas Vidal

TD-14: Optimization and Equilibrium Problems
Stream: Nonlinear Programming: Methods
Room: SOUTH BUILDING UV S202 (building 0)
Chair(s): Genaro Lopez

• Linear convergence of gradient algorithm on Riemannian manifolds
  Xiangmei Wang, Chong Li
• Equilibrium problems on Riemannian manifolds with applications
  Chong Li, Genaro Lopez, Xiangmei Wang
• A variational equilibrium formulation for humanitarian organizations under competition
  Patrizia Daniele, Anna Nagurney, Emilio Alvarez-Flores, Valeria Caruso
• A continuous optimisation approach for aiming strategies in solar power tower plants
  Thomas Ashley, Emilio CARRIZOSA, Enrique Fernández-Cara