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Comput. Optim. Appl.
Publications
volume 89, number 1, 2024
Hiroki Marumo
,
Sunyoung Kim
,
Makoto Yamashita
T-semidefinite programming relaxation with third-order tensors for constrained polynomial optimization.
Comput. Optim. Appl.
89 (1) (2024)
Hugo Lara
,
Rafael Aleixo
,
Harry Oviedo
Delayed Weighted Gradient Method with simultaneous step-sizes for strongly convex optimization.
Comput. Optim. Appl.
89 (1) (2024)
Ting Zhang
,
Yong Wang
,
Zheng-Hai Huang
Projected fixed-point method for vertical tensor complementarity problems.
Comput. Optim. Appl.
89 (1) (2024)
Bjørn Jensen
,
Tuomo Valkonen
A nonsmooth primal-dual method with interwoven PDE constraint solver.
Comput. Optim. Appl.
89 (1) (2024)
Minda Zhao
,
Zehua Lai
,
Lek-Heng Lim
Stochastic Steffensen method.
Comput. Optim. Appl.
89 (1) (2024)
Andreas Fischer
,
Alexey F. Izmailov
,
Mikhail V. Solodov
The Levenberg-Marquardt method: an overview of modern convergence theories and more.
Comput. Optim. Appl.
89 (1) (2024)
Natasa Krejic
,
Natasa Krklec Jerinkic
,
Angeles Martinez
,
Mahsa Yousefi
A non-monotone trust-region method with noisy oracles and additional sampling.
Comput. Optim. Appl.
89 (1) (2024)
Jean Bigeon
,
Sébastien Le Digabel
,
Ludovic Salomon
Handling of constraints in multiobjective blackbox optimization.
Comput. Optim. Appl.
89 (1) (2024)
volume 88, number 1, 2024
Paul-Emile Maingé
,
André Weng-Law
Accelerated forward-backward algorithms for structured monotone inclusions.
Comput. Optim. Appl.
88 (1) (2024)
Qingjie Hu
,
Liping Zhu
,
Yu Chen
Alternative extension of the Hager-Zhang conjugate gradient method for vector optimization.
Comput. Optim. Appl.
88 (1) (2024)
Bennet Gebken
A note on the convergence of deterministic gradient sampling in nonsmooth optimization.
Comput. Optim. Appl.
88 (1) (2024)
Flávia Chorobura
,
Ion Necoara
Coordinate descent methods beyond smoothness and separability.
Comput. Optim. Appl.
88 (1) (2024)
David Esteban Bernal Neira
,
Ignacio E. Grossmann
Convex mixed-integer nonlinear programs derived from generalized disjunctive programming using cones.
Comput. Optim. Appl.
88 (1) (2024)
Philip E. Gill
,
Minxin Zhang
A projected-search interior-point method for nonlinearly constrained optimization.
Comput. Optim. Appl.
88 (1) (2024)
Paul R. Arbic II
,
Vladislav Bukshtynov
Efficient gradient-based optimization for reconstructing binary images in applications to electrical impedance tomography.
Comput. Optim. Appl.
88 (1) (2024)
Matheus Bernardelli de Moraes
,
Guilherme Palermo Coelho
A benchmark generator for scenario-based discrete optimization.
Comput. Optim. Appl.
88 (1) (2024)
Pourya Behmandpoor
,
Puya Latafat
,
Andreas Themelis
,
Marc Moonen
,
Panagiotis Patrinos
SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization.
Comput. Optim. Appl.
88 (1) (2024)
Rui-Jin Zhang
,
Xin-Wei Liu
,
Yu-Hong Dai
IPRSDP: a primal-dual interior-point relaxation algorithm for semidefinite programming.
Comput. Optim. Appl.
88 (1) (2024)
E. Ruben van Beesten
,
Ward Romeijnders
,
Kees Jan Roodbergen
Convex approximations of two-stage risk-averse mixed-integer recourse models.
Comput. Optim. Appl.
88 (1) (2024)
volume 88, number 2, 2024
Xiaojing Zhu
,
Chungen Shen
Practical gradient and conjugate gradient methods on flag manifolds.
Comput. Optim. Appl.
88 (2) (2024)
Matt Menickelly
,
Stefan M. Wild
Stochastic average model methods.
Comput. Optim. Appl.
88 (2) (2024)
Takayuki Okuno
Local convergence of primal-dual interior point methods for nonlinear semidefinite optimization using the Monteiro-Tsuchiya family of search directions.
Comput. Optim. Appl.
88 (2) (2024)
Youssef Diouane
,
Vyacheslav Kungurtsev
,
Francesco Rinaldi
,
Damiano Zeffiro
Inexact direct-search methods for bilevel optimization problems.
Comput. Optim. Appl.
88 (2) (2024)
Silvia Bonettini
,
Marco Prato
,
Simone Rebegoldi
A new proximal heavy ball inexact line-search algorithm.
Comput. Optim. Appl.
88 (2) (2024)
Einosuke Iida
,
Makoto Yamashita
An infeasible interior-point arc-search method with Nesterov's restarting strategy for linear programming problems.
Comput. Optim. Appl.
88 (2) (2024)
Ruyu Liu
,
Shaohua Pan
,
Yuqia Wu
,
Xiaoqi Yang
An inexact regularized proximal Newton method for nonconvex and nonsmooth optimization.
Comput. Optim. Appl.
88 (2) (2024)
Christoph Hansknecht
,
Christian Kirches
,
Paul Manns
Convergence of successive linear programming algorithms for noisy functions.
Comput. Optim. Appl.
88 (2) (2024)
Bin Gao
,
Renfeng Peng
,
Ya-xiang Yuan
Riemannian preconditioned algorithms for tensor completion via tensor ring decomposition.
Comput. Optim. Appl.
88 (2) (2024)
volume 88, number 3, 2024
Douglas Soares Gonçalves
,
Max L. N. Gonçalves
,
Jefferson G. Melo
An away-step Frank-Wolfe algorithm for constrained multiobjective optimization.
Comput. Optim. Appl.
88 (3) (2024)
Matthias Schuster
,
Christian Vollmann
,
Volker Schulz
Shape optimization for interface identification in nonlocal models.
Comput. Optim. Appl.
88 (3) (2024)
Hong Zhu
,
Yunhai Xiao
A hybrid inexact regularized Newton and negative curvature method.
Comput. Optim. Appl.
88 (3) (2024)
Kun Liu
,
Anwa Zhou
,
Jinyan Fan
A generalized alternating direction method of multipliers for tensor complementarity problems.
Comput. Optim. Appl.
88 (3) (2024)
Robert Mansel Gower
,
Dirk A. Lorenz
,
Maximilian Winkler
Correction: A Bregman-Kaczmarz method for nonlinear systems of equations.
Comput. Optim. Appl.
88 (3) (2024)
Leandro da Fonseca Prudente
,
Danilo Rodrigues Souza
Global convergence of a BFGS-type algorithm for nonconvex multiobjective optimization problems.
Comput. Optim. Appl.
88 (3) (2024)
Orizon P. Ferreira
,
Elianderson M. Santos
,
João Carlos de Oliveira Souza
A boosted DC algorithm for non-differentiable DC components with non-monotone line search.
Comput. Optim. Appl.
88 (3) (2024)
Zihao Wang
,
Minru Bai
An inexactly accelerated algorithm for nonnegative tensor CP decomposition with the column unit constraints.
Comput. Optim. Appl.
88 (3) (2024)
Yassine Laguel
,
Jérôme Malick
,
Wim van Ackooij
Chance-constrained programs with convex underlying functions: a bilevel convex optimization perspective.
Comput. Optim. Appl.
88 (3) (2024)
Najmeh Hoseini Monjezi
,
S. Nobakhtian
,
M. R. Pouryayevali
Nonsmooth nonconvex optimization on Riemannian manifolds via bundle trust region algorithm.
Comput. Optim. Appl.
88 (3) (2024)
volume 87, number 3, 2024
Elisabeth Diehl
,
Johannes Haubner
,
Michael Ulbrich
,
Stefan Ulbrich
Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier-Stokes equations with surface tension.
Comput. Optim. Appl.
87 (3) (2024)
Benjamin Beach
,
Robert Burlacu
,
Andreas Bärmann
,
Lukas Hager
,
Robert Hildebrand
Enhancements of discretization approaches for non-convex mixed-integer quadratically constrained quadratic programming: part II.
Comput. Optim. Appl.
87 (3) (2024)
Fabian Hoppe
,
Ira Neitzel
A-posteriori reduced basis error-estimates for a semi-discrete in space quasilinear parabolic PDE.
Comput. Optim. Appl.
87 (3) (2024)
Shiru Li
,
Tao Zhang
,
Yong Xia
A family of Barzilai-Borwein steplengths from the viewpoint of scaled total least squares.
Comput. Optim. Appl.
87 (3) (2024)
Daniel Wachsmuth
) constraints: maximum principle and proximal gradient method.
Comput. Optim. Appl.
87 (3) (2024)
Max Grieshammer
,
Lukas Pflug
,
Michael Stingl
,
Andrian Uihlein
Correction to: The continuous stochastic gradient method: part II-application and numerics.
Comput. Optim. Appl.
87 (3) (2024)
Robert M. Gower
,
Dirk A. Lorenz
,
Maximilian Winkler
A Bregman-Kaczmarz method for nonlinear systems of equations.
Comput. Optim. Appl.
87 (3) (2024)
Christian Clason
Preface to special issue on "optimal control of nonlinear differential equations".
Comput. Optim. Appl.
87 (3) (2024)
Elisabeth Diehl
,
Johannes Haubner
,
Michael Ulbrich
,
Stefan Ulbrich
Correction to: Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier-Stokes equations with surface tension.
Comput. Optim. Appl.
87 (3) (2024)
Benjamin Beach
,
Robert Burlacu
,
Andreas Bärmann
,
Lukas Hager
,
Robert Hildebrand
Enhancements of discretization approaches for non-convex mixed-integer quadratically constrained quadratic programming: Part I.
Comput. Optim. Appl.
87 (3) (2024)
Sudeep Kundu
,
Karl Kunisch
Policy iteration for Hamilton-Jacobi-Bellman equations with control constraints.
Comput. Optim. Appl.
87 (3) (2024)
Max Grieshammer
,
Lukas Pflug
,
Michael Stingl
,
Andrian Uihlein
The continuous stochastic gradient method: part I-convergence theory.
Comput. Optim. Appl.
87 (3) (2024)