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Nonlinear Optimization Submissions - 2018

January 2018

A survey of constraint qualifications with second-order properties in nonlinear optimization
Gabriel Haeser, Alberto Ramos

Unconstrained Optimization
Subsampled Inexact Newton methods for minimizing large sums of convex functions
S. Bellavia, N. Krejic, N. Krklec Jerinkic

Constrained Nonlinear Optimization
A Shifted Primal-Dual Interior Method for Nonlinear Optimization
Philip E. Gill, Vyacheslav Kungurtsev, Daniel P. Robinson


February 2018

Unconstrained Optimization
A structured quasi-Newton algorithm for optimizing with incomplete Hessian information
Cosmin Petra, Naiyuan Chiang, Mihai Anitescu

How to Characterize the Worst-Case Performance of Algorithms for Nonconvex Optimization
Frank E. Curtis, Daniel P. Robinson

Systems governed by Differential Equations Optimization
Combinatorial Integral Approximation for Mixed-Integer PDE-Constrained Optimization Problems
Mirko Hahn, Sebastian Sager

Constrained Nonlinear Optimization
Optimal linearized symmetric ADMM for separable convex programming
Chang Xiaokai, Bai Jianchao, Liu Sanyang

Other
On classes of set optimization problems which are reducible to vector optimization problems and its impact on numerical test instances
Gabriele Eichfelder, Tobias Gerlach

Constrained Nonlinear Optimization
Extensions of Yuan’s Lemma to fourth-order tensor system with applications
Qingzhi Yang, Yang Zhou, Yuning Yang

A Progressive Batching L-BFGS Method for Machine Learning
Raghu Bollapragada, Dheevatsa Mudigere, Jorge Nocedal, Hao-Jun Michael Shi, Ping Tak Peter Tang

Systems governed by Differential Equations Optimization
Combinatorial Integral Approximation Decompositions for Mixed-Integer Optimal Control
Clemens Zeile, Tobias Weber, Sebastian Sager

Nonlinear Systems and Least-Squares
Local attractors of newton-type methods for constrained equations and complementarity problems with nonisolated solutions
Andreas Fischer, Alexey Izmailov, Mikhail Solodov

Unconstrained Optimization
Concise Complexity Analyses for Trust-Region Methods
Frank E. Curtis, Zachary Lubberts, Daniel P. Robinson

Algorithms and Convergence Results of Projection Methods for Inconsistent Feasibility Problems: A Review
Yair Censor, Maroun Zaknoon

Cubic Regularization Method based on Mixed Factorizations for Unconstrained Minimization
Ernesto G. Birgin, J. M. Martínez

A Riemannian Conjugate Gradient Algorithm with Implicit Vector Transport for Optimization on the Stiefel Manifold
Harry F. Oviedo, Hugo Lara

Constrained Nonlinear Optimization
ADMM for Multiaffine Constrained Optimization
Wenbo Gao, Donald Goldfarb, Frank E. Curtis


March 2018

Nonlinear Systems and Least-Squares
On an Elliptical Trust-Region Procedure for Ill-Posed Nonlinear Least-Squares Problems
Stefania Bellavia, Elisa Riccietti

Unconstrained Optimization
A comparison of methods for traversing non-convex regions in optimization problems
Michael Bartholomew-Biggs, Salah Beddiaf, Bruce Christianson

Unconstrained Optimization
A Newton-CG Algorithm with Complexity Guarantees for Smooth Unconstrained Optimization
Clément W. Royer, Michael O'Neill, Stephen J. Wright

Constrained Nonlinear Optimization
Superiorization and perturbation resilience of algorithms: A continuously updated bibliography
Yair Censor

Other
The mesh adaptive direct search algorithm for granular and discrete variables
Charles Audet, Sébastien Le Digabel, Christophe Tribes

Quadratic Programming
Solving Quadratic Programs to High Precision using Scaled Iterative Refinement
Tobias Weber, Sebastian Sager, Ambros Gleixner

On the Complexity of Testing Attainment of the Optimal Value in Nonlinear Optimization
Amir Ali Ahmadi, Jeffrey Zhang

A Dynamic Penalty Parameter Updating Strategy for Matrix-Free Sequential Quadratic Optimization
James Burke, Frank Curtis, Hao Wang, Jiashan Wang

Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods
Albert S. Berahas, Richard H. Byrd, Jorge Nocedal

Constrained Nonlinear Optimization
Derivative-Free Superiorization With Component-Wise Perturbations
Yair Censor, Howard Heaton, Reinhard Schulte

Improving the Flexibility and Robustness of Model-Based Derivative-Free Optimization Solvers
Coralia Cartis, Jan Fiala, Benjamin Marteau, Lindon Roberts


April 2018

Constrained Nonlinear Optimization
A Merit Function Approach for Evolution Strategies
Y. Diouane

Block Coordinate Proximal Gradient Method for Nonconvex Optimization Problems: Convergence Analysis
Xiangfeng Wang , Xiaoming Yuan, Shangzhi Zeng, Jin Zhang, Jinchuan Zhou

Constrained Nonlinear Optimization
Representation of distributionally robust chance-constraints
Jean B Lasserre, Tillmann Weisser

Systems governed by Differential Equations Optimization
Improved Regularity Assumptions for Partial Outer Convexification of MIPDECOs
Paul Manns, Christian Kirches

Constrained Nonlinear Optimization
Lectures on Parametric Optimization: An Introduction
Georg Still


May 2018

On a Frank-Wolfe Type Theorem in Cubic Optimization
Diethard Klatte

An Envelope for Davis-Yin Splitting and Strict Saddle Point Avoidance
Yanli Liu, Wotao Yin

A global hybrid derivative-free method for large-scale systems of nonlinear equations
Rodolfo Begiato, Ana Luisa Custódio, Márcia Aparecida Gomes-Ruggiero

Quadratic Programming
Stable interior point method for convex quadratic programming with strict error bounds
Martin Neuenhofen, Stefania Bellavia

Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
Gesualdo Scutari, Ying Sun

A limited-memory optimization method using the in¯nitely many times repeated BNS update and conjugate directions
Jan Vlcek, Ladislav Luksan


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