JournalTOCs

Optimization Methods and Software
Journal Prestige (SJR): 0.723

Citation Impact (citeScore): 1
Number of Followers: 5

Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1055-6788 - ISSN (Online) 1029-4937
Published by Taylor and Francis

[2652 journals]

Gradient-type methods for decentralized optimization problems with
Polyak–Łojasiewicz condition over time-varying networks
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  Authors: Ilya Kuruzov Mohammad Alkousa Fedor Stonyakin Alexander Gasnikov a Moscow Institute of Physics; an Associate Professor at the Faculty of Computer Science, Higher School of Economics. Since 2023, he has been the rector of Innopolis University in Kazan, Russia.
  Pages: 1 - 28
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2025-05-21T12:22:40Z
  DOI: 10.1080/10556788.2025.2475404
Quantum computing and the stable set problem
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  Authors: Aljaž Krpan Janez Povh Dunja Pucher a Rudolfovo – Science; graph coloring problems.
  Pages: 1 - 34
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2025-05-21T12:05:01Z
  DOI: 10.1080/10556788.2025.2490639
Proximal subgradient method for non-Lipschitz objective functions
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  Authors: Mitsuru Toyoda Mirai Tanaka a Department of Mechanical Systems Engineering; Tokyo Metropolitan University, Tokyo, Japanb Department of Fundamental Statistical Mathematics, The Institute of Statistical Mathematics, Tokyo, Japanc Continuous Optimization Team, RIKEN Center for Advanced Intelligence Project, Tokyo, JapanMitsuru Toyoda received the Ph.D. degree in mechanical engineering from Sophia University, Tokyo, Japan, in March 2018. Since April 2018, he has held a Project Assistant Professor position at the Institute of Statistical Mathematics, Tokyo, Japan. In April 2019, he joined Department of Mechanical Systems Engineering, Tokyo Metropolitan University, Tokyo, Japan, where he is currently an Assistant Professor. His research interests are related to optimization algorithms in control theory.Mirai Tanaka received his PhD degree from Tokyo Institute of Technology in 2014. He worked for Tokyo University of Science from 2014 to 2017. He joined The Institute of Statistical Mathematics in 2017, where he is currently an associate professor. His research interests are related in modelling techniques related problems.
  Pages: 1 - 28
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2025-04-29T10:45:06Z
  DOI: 10.1080/10556788.2025.2475405
Spatially sparse optimization problems in fractional order Sobolev spaces
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  Authors: Anna Lentz Daniel Wachsmuth Institut für Mathematik; Universität Würzburg, Würzburg, GermanyDaniel Wachsmuth is professor at the Institute of Mathematics of the University of Würzburg. He works on infinite-dimensional optimization optimal control of partial differential equations.Anna Lentz is a PhD student at the Institute of Mathematics of the University of Würzburg. She works on infinite-dimensional optimization problems involving the Lp-pseudo-norm for p ∈ (0,1).
  Pages: 1 - 29
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2025-04-08T11:46:31Z
  DOI: 10.1080/10556788.2025.2477629
A bundle trust-region algorithm for nonsmooth nonconvex constrained
optimization
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  Authors: N. Hoseini Monjezi S. Nobakhtian a Department of Applied Mathematics; methods.
  Pages: 1 - 24
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2025-03-31T11:11:51Z
  DOI: 10.1080/10556788.2025.2475518
Distributed saddle point problems: lower bounds, near-optimal and robust
algorithms*
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  Authors: Aleksandr Beznosikov Valentin Samokhin Alexander Gasnikov a Laboratory of Federated Learning Problems; Ivannikov Institute for System Programming of the RAS, Moscow, Russiab BRAIn Lab, Moscow Institute of Physics obtained a Doctor of Science degree from MIPT.
  Pages: 1 - 18
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2025-03-28T12:01:30Z
  DOI: 10.1080/10556788.2025.2463986
The mirror-prox sliding method for non-smooth decentralized saddle-point
problems
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  Authors: Ilya Kuruzov Alexander Rogozin Demyan Yarmoshik Alexander Gasnikov a Moscow Institute of Physics; an Associate Professor at the Faculty of Computer Science, Higher School of Economics. Since 2023, he has been a rector of Innopolis University in Kazan, Russia.
  Pages: 1 - 25
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2025-03-28T12:00:18Z
  DOI: 10.1080/10556788.2024.2396295
A modified Polak-Ribière-Polyak type conjugate gradient method for
vector optimization
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  Authors: Qingjie Hu Yanyan Zhang Ruyun Li Zhibin Zhu a School of Mathematics; muti-objective optimization methods.
  Pages: 1 - 30
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2025-03-28T11:58:05Z
  DOI: 10.1080/10556788.2025.2475402
Scaled alternating multiplier method for solving the matrix equation
AXB+CXD=E
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  Authors: Changfeng Ma Shihai Li a School of Artificial Intelligence; Xiamen Institute of Technology, Xiamen, People's Republic of Chinab School of Mathematics data science.
  Pages: 1 - 27
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2025-03-28T11:55:25Z
  DOI: 10.1080/10556788.2025.2463980
Soft quasi-Newton: guaranteed positive definiteness by relaxing the secant
constraint
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  Authors: Erik Berglund Jiaojiao Zhang Mikael Johansson School of Electrical Engineering; ACM.
  Pages: 1 - 30
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2025-03-20T11:23:30Z
  DOI: 10.1080/10556788.2025.2475406
A first-order regularized approach to the order-value optimization problem
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  Authors: G. Q. Álvarez E. G. Birgin a Department of Applied Mathematics; Institute of Mathematics its applications.
  Pages: 1 - 25
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2025-02-14T02:45:56Z
  DOI: 10.1080/10556788.2025.2453111
On the convergence of Newton-type proximal gradient method for
multiobjective optimization problems
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  Authors: J. Chen X. X. Jiang L. P. Tang X. M. Yang a National Center for Applied Mathematics in Chongqing; Chongqing Normal University, Chongqing, People's Republic of Chinab School of Mathematical Sciences, University of Electronic Science methods.
  Pages: 1 - 16
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  Citation: Optimization Methods and Software
  PubDate: 2025-02-14T02:26:53Z
  DOI: 10.1080/10556788.2024.2436179
Reduced basis model predictive control for semilinear parabolic partial
differential equations
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  Authors: Saskia Dietze Martin A. Grepl Numerical Mathematics; RWTH Aachen University, Aachen, GermanySaskia Dietze is a PhD student in the field of model order reduction inverse problems.
  Pages: 1 - 33
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  Citation: Optimization Methods and Software
  PubDate: 2025-02-12T12:32:38Z
  DOI: 10.1080/10556788.2025.2459839
The largest-K-norm for general measure spaces and a DC reformulation for
L0-constrained problems in function spaces
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  Authors: Bastian Dittrich Daniel Wachsmuth Institut für Mathematik; Universität Würzburg, Würzburg, GermanyBastian Dittrich is a PhD student at the Institute of Mathematics of the University of Würzburg. He works on infinite-dimensional optimization problems with L0-constraints.Daniel Wachsmuth is professor at the Institute of Mathematics of the University of Würzburg. He works on infinite-dimensional optimization optimal control of partial differential equations.
  Pages: 1 - 43
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  Citation: Optimization Methods and Software
  PubDate: 2025-02-12T12:32:31Z
  DOI: 10.1080/10556788.2025.2460683
Cone-compactness of a set and related topological properties: stability
issues and applications
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  Authors: Marius Durea Elena-Andreea Florea a Faculty of Mathematics; “Alexandru Ioan Cuza” University, Iaşi, Romaniab “Octav Mayer” Institute of Mathematics, Iaşi Branch of Romanian Academy, Iaşi, RomaniaMarius Durea is a full professor at the Faculty of Mathematics at “Alexandru Ioan Cuza” University of Iasi, Romania. He works on variational analysis, optimization theory, with a particular focus on regularity on mappings set-valued optimization.
  Pages: 1 - 21
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  Citation: Optimization Methods and Software
  PubDate: 2025-02-12T12:19:15Z
  DOI: 10.1080/10556788.2025.2459841
Correction
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  Pages: 1 - 1
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2025-02-06T11:37:14Z
  DOI: 10.1080/10556788.2025.2460329
An interior point method for nonlinear constrained derivative-free
optimization
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  Authors: A. Brilli G. Liuzzi S. Lucidi Department of Computer Control; Management Engineering at Sapienza University of Rome.
  Pages: 1 - 39
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2025-02-05T04:20:51Z
  DOI: 10.1080/10556788.2025.2453110
NPPro: a Newton projection with proportioning solver for quadratic
programming with affine constraints
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  Authors: Pavel Otta Ondřej Šantin Vladimír Havlena a Garrett Motion Czech Republic s.r.o.; Brno-Slatina, Czech Republicb Department of Control Engineering, Czech Technical University in Prague, Prague 6, Czech RepublicPavel Otta is an R&D Engineer at Garrett Motion in Prague, developing QP solvers for next-generation vehicles. He received his Ph.D. in Control Engineering has supervised many PhD students who are active contributors to algorithmic development for advanced control applications.
  Pages: 1 - 32
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2025-01-10T10:32:00Z
  DOI: 10.1080/10556788.2024.2436180
Some upgrading problems on networks related to eccentricity concept
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  Authors: Ali Reza Sepasian Kien Trung Nguyen a Department of Mathematics; Faculty of Basic Sciences, Fasa University, Fasa, Iranb Department of Mathematics, Teacher College, Can Tho University, VietnamAli Reza Sepasian is an Assistant Professor in the Department of Mathematics at Fasa University. He received his PhD in Applied Mathematics from Ferdowsi University of Mashhad, Iran in 2014. His research interests include discrete optimization, Inverse optimization problems, Improvement problems inverse optimization.
  Pages: 1 - 22
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  Citation: Optimization Methods and Software
  PubDate: 2025-01-03T01:20:37Z
  DOI: 10.1080/10556788.2024.2436188
PDE-constrained shape optimization with first-order and Newton-type
methods in the W1,∞ topology
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  Authors: Klaus Deckelnick Philip J. Herbert Michael Hinze a Institut für Analysis und Numerik; Otto-von-Guericke-University Magdeburg, Magdeburg, Germanyb Department of Mathematics, University of Sussex, Brighton, UKc Mathematical Institute, University of Koblenz, Koblenz, GermanyKlaus Deckelnick is an associate professor in the Department of Mathematics at Otto-von-Guericke-University Magdeburg, Magdeburg, Germany. He works on the analysis complexity reduction with application focus on fluid mechanics.
  Pages: 1 - 27
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-12-27T04:13:58Z
  DOI: 10.1080/10556788.2024.2424525
An implementable descent method for nonsmooth multiobjective optimization
on Riemannian manifolds
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  Authors: Chunming Tang Hao He Jinbao Jian Miantao Chao a College of Mathematics; methods.
  Pages: 1 - 22
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-12-23T02:56:02Z
  DOI: 10.1080/10556788.2024.2436173
Iterative methods for projection onto the ℓp quasi-norm ball
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  Authors: Qi An Nana Zhang Shan Jiang a Department of Computer Science; The Open University of China, Beijing, People’s Republic of Chinab College of Economics optimization.
  Pages: 1 - 22
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-12-10T04:37:31Z
  DOI: 10.1080/10556788.2024.2424539
Line-search based optimization using function approximations with tunable
accuracy
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  Authors: Dane S. Grundvig Matthias Heinkenschloss Department of Computational Applied Mathematics; Operations Research, MS-134, Rice University, Houston, TX, USA
  Pages: 1 - 32
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-12-10T04:21:12Z
  DOI: 10.1080/10556788.2024.2436192
SLiSeS: subsampled line search spectral gradient method for finite sums
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  Authors: Stefania Bellavia Nataša Krejić Nataša Krklec Jerinkić Marcos Raydan a Department of Industrial Engineering; University of Florence, Florence, Italyb INDAM-GNCS Research group, Roma, Italyc Department of Mathematics numerical linear algebra, with a special focus on the development of algorithms for large-scale computations.
  Pages: 1 - 26
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-12-10T04:18:17Z
  DOI: 10.1080/10556788.2024.2426620
Two RMIL-type schemes with compressed sensing applications
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  Authors: Kabiru Ahmed Mohammed Yusuf Waziri Abubakar Sani Halilu Salisu Murtala a Department of Mathematical Sciences; Bayero University, Kano, Nigeriab Department of Mathematics, Sule Lamido University, Kafin Hausa, Nigeriac Department of Mathematics, Federal University, Dutse, NigeriaKabiru Ahmed, obtained B.Sc, M.Sc in Mathematics from Bayero University, Kano, Nigeria. He has successfully defended his Ph.D. thesis in Applied Computational Mathematics from the same institution. He is also a researcher who has authored about 15 papers in reputable journals.
  Pages: 1 - 32
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-11-19T12:36:00Z
  DOI: 10.1080/10556788.2024.2425001
An inexact restoration direct multisearch filter approach to
multiobjective constrained derivative-free optimization
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  Authors: Everton J. Silva Ana Luísa Custódio Department of Mathematics; NOVA School of Science global optimization. She is co-author of several computational codes, as byproduct of the research conducted.
  Pages: 1 - 27
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-10-29T01:14:35Z
  DOI: 10.1080/10556788.2024.2412646
A piecewise smooth version of the Griewank function
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  Authors: Torsten F. Bosse H. Martin Bücker Institute for Computer Science; Friedrich Schiller University Jena, Jena, GermanyTorsten F. Bosse is senior researcher at Friedrich Schiller University Jena, Jena, Germany. His research interests are non-linear optimization, algorithmic piecewise differentiation, automatic differentiation.
  Pages: 1 - 11
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-10-29T01:12:32Z
  DOI: 10.1080/10556788.2024.2414186
Two modified conjugate gradient methods for unconstrained optimization
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  Authors: Mehamdia Abd Elhamid Chaib Yacine a Laboratory Informatics; B. Sellami, A new family of globally convergent conjugate gradient methods, Ann OperRes. Springe. 241 (2016), pp. 497–513.
  Pages: 1 - 14
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-10-10T12:08:57Z
  DOI: 10.1080/10556788.2024.2400710
Jacobian sparsity detection using Bloom filters
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  Authors: Paul D. Hovland Argonne National Laboratory; Lemont, IL, USAPaul D. Hovland is a Senior Computer Scientist program synthesis.
  Pages: 1 - 13
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-10-10T11:00:39Z
  DOI: 10.1080/10556788.2023.2285486
Multiobjective optimization by using cutting angle methods and hypervolume
criterion
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  Authors: Gleb Beliakov Longxiang Gao Yong Xiang Wanlei Zhou a School of Information Technology; Deakin University, Geelong, Australiab School of Computer Science, University of Technology Sydney, Sydney, AustraliaGleb Beliakov received the Ph.D. degree in physics distributed computing.
  Pages: 1 - 18
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-10-02T11:51:45Z
  DOI: 10.1080/10556788.2024.2405984
Distributed learning with compressed gradient differences*
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  Authors: K. Mishchenko E. Gorbunov M. Takáč P. Richtárik a INRIA; Paris, Franceb Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAEc King Abdullah University of Science Technology, Moscow, Russia
  Pages: 1 - 16
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-09-27T11:17:10Z
  DOI: 10.1080/10556788.2024.2358790
Discretization and quantification for distributionally robust optimization
with decision-dependent ambiguity sets
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  Authors: Manlan Li Xiaojiao Tong Hailin Sun a School of Mathematics; economic models.
  Pages: 1 - 30
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-09-25T11:38:28Z
  DOI: 10.1080/10556788.2024.2401975
A derivative free projection method for the singularities of vector fields
with convex constraints on Hadamard manifolds
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  Authors: D. R. Sahu Shikher Sharma Department of Mathematics; Banaras Hindu University, Varanasi, IndiaD. R. Sahu was born in 1967. He received his B.Sc., M.Sc. 2018, respectively. He is currently pursuing his Ph.D. degree at the Department of Mathematics, Banaras Hindu University, Varanasi, India. His research interest is Fixed point Analysis, Optimization, Nonlinear Analysis, Fixed Point Analysis on Manifolds.
  Pages: 1 - 21
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-09-25T11:34:21Z
  DOI: 10.1080/10556788.2024.2400700
A hybrid optimal control problem constrained with hyperelasticity and the
global injectivity condition
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  Authors: S. Court a Department of Mathematics; University of Innsbruck, Innsbruck, Austriab Digital Science Center, University of Innsbruck, Innsbruck, AustriaS. Court is an assistant professor at the University of Innsbruck, Austria.
  Pages: 1 - 49
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-09-24T11:44:55Z
  DOI: 10.1080/10556788.2024.2400501
Globalization of convergence of the constrained piecewise
Levenberg–Marquardt method
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  Authors: Alexey F. Izmailov Evgeniy I. Uskov Yan Zhibai a VMK Faculty; OR Department, Lomonosov Moscow State University (MSU), Leninskiye Gory, Moscow, Russiab Department of Mathematic, Physics restricted smoothness.
  Pages: 1 - 23
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-09-24T10:14:18Z
  DOI: 10.1080/10556788.2024.2400468
Tensor decompositions for count data that leverage stochastic and
deterministic optimization
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  Authors: Jeremy M. Myers Daniel M. Dunlavy a Scalable Modeling & Analysis; Sandia National Laboratories, Livermore, CA, USAb Machine Intelligence graph algorithms. In addition to his research, he also leads the development of several open-source software projects in these areas as well.
  Pages: 1 - 36
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-09-24T03:05:29Z
  DOI: 10.1080/10556788.2024.2401981
Superlinear convergence of an interior point algorithm on linear
semi-definite feasibility problems
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  Authors: Chee-Khian Sim School of Mathematics; supply chain optimization, in particular, optimal inventory management.
  Pages: 1 - 21
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-09-13T11:36:19Z
  DOI: 10.1080/10556788.2024.2400705
Automatic source code generation for deterministic global optimization
with parallel architectures
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  Authors: Robert X. Gottlieb Pengfei Xu Matthew D. Stuber Process Systems; sustainable agriculture.
  Pages: 1 - 39
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-09-13T11:34:30Z
  DOI: 10.1080/10556788.2024.2396297
Numerical simulation of differential-algebraic equations with embedded
global optimization criteria
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  Authors: Jens Deussen Jonathan Hüser Uwe Naumann Informatik 12: Software; finance.
  Pages: 1 - 15
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-07-05T08:34:04Z
  DOI: 10.1080/10556788.2024.2368569
A new inexact gradient descent method with applications to nonsmooth
convex optimization
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  Authors: Pham Duy KhanhBoris S. MordukhovichDat Ba Trana Department of Mathematics; Ho Chi Minh City University of Education, Ho Chi Minh City, Vietnamb Department of Mathematics, Wayne State University, Detroit, MI, USAPham Duy Khanh completed his Ph.D. at the Vietnam Academy of Science Pham Duy Khanh.
  Pages: 1 - 29
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-03-25T02:59:51Z
  DOI: 10.1080/10556788.2024.2322700
Decentralized gradient tracking with local steps
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  Authors: Yue LiuTao LinAnastasia KoloskovaSebastian U. Sticha University of Toronto; Toronto, Canadab Westlake University, Zhejiang, People's Republic of Chinac EPFL, Ecublens, Switzerlandd CISPA Helmholtz Center for Information Security, Saarbrücken, GermanyYue Liu is a Ph.D. student in the Edward S. Roger Sr. Department of Electrical & Computer Engineering at the University of Toronto, working under the supervision of Professor Ben Liang. Her research interests are deep learning a 2023 Google Scholar Research Award.
  Pages: 1 - 28
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-03-14T11:24:33Z
  DOI: 10.1080/10556788.2024.2322095
Toward state estimation by high gain differentiators with automatic
differentiation
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  Authors: Klaus RöbenackDaniel GerbetInstitute of Control Theory; Faculty of Electrical quantifier elimination.
  Pages: 1 - 16
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-03-14T11:23:08Z
  DOI: 10.1080/10556788.2024.2320737
Complexity of a class of first-order objective-function-free optimization
algorithms
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  Authors: S. GrattonS. JeradPh. L. Tointa INP; IRIT, Université de Toulouse, Toulouse, Franceb ANITI, INP, IRIT, Université de Toulouse, Toulouse, Francec NAXYS, University of Namur, Namur, BelgiumS. Gratton is full Professor of Applied Mathematics at the Institut National Polytechnique de Toulouse. It is within the “Parallel Algorithms is a SIAM Fellow since 2009.
  Pages: 1 - 31
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-02-08T03:46:42Z
  DOI: 10.1080/10556788.2023.2296431
Decentralized saddle point problems via non-Euclidean mirror prox
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  Authors: Alexander RogozinAleksandr BeznosikovDarina DvinskikhDmitry KovalevPavel DvurechenskyAlexander Gasnikova Laboratory for Mathematical Optimization Methods; Moscow Institute of Physics Associate Professor at the Faculty of Computer Science, Higher School of Economics. Since 2023 he is a rector of Innopolis University in Kazan, Russia.
  Pages: 1 - 26
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-01-25T03:57:24Z
  DOI: 10.1080/10556788.2023.2280062
Predicting pairwise interaction affinities with ℓ0-penalized least
squares–a nonsmooth bi-objective optimization based approach*
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  Authors: Pauliina PaasivirtaRiikka NumminenAntti AirolaNapsu KarmitsaTapio Pahikkalaa Department of Mathematics; the methods developed by him have been used by the winning teams of several international scientific competitions/challenges.
  Pages: 1 - 28
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-01-25T03:56:33Z
  DOI: 10.1080/10556788.2023.2280784
Delay-tolerant distributed Bregman proximal algorithms
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  Authors: S. ChraibiF. IutzelerJ. MalickA. Rogozina LJK; Univ. Grenoble Alpes, Grenoble, Franceb CNRS, Grenoble INP, LJK, Univ. Grenoble Alpes, Grenoble, Francec Moscow Institute of Physics continues to work in this direction.
  Pages: 1 - 17
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-01-25T03:54:07Z
  DOI: 10.1080/10556788.2023.2278089
A gradient descent akin method for constrained optimization: algorithms
and applications
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  Authors: Long ChenKai-Uwe BletzingerNicolas R. GaugerYinyu Yea Scientific Computing; University of Kaiserslautern-Landau (RPTU), Kaiserslautern, Germanyb Structural Analysis, Technical University of Munich, Munich, Germanyc Department of Management Science ICME, Stanford University, Stanford, CA, USA
  Pages: 1 - 28
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-01-16T09:19:27Z
  DOI: 10.1080/10556788.2023.2285450
On a Frank-Wolfe approach for abs-smooth functions
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  Authors: Timo KreimeierSebastian PokuttaAndrea WaltherZev Woodstocka Department of Mathematics; Humboldt-Universität zu Berlin, Berlin, Germanyb Department for AI in Society, Science, convex analysis. His Ph.D. was advised by Patrick L. Combettes in the Department of Mathematics at North Carolina State University in Raleigh, NC, USA.
  Pages: 1 - 27
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-01-16T01:16:57Z
  DOI: 10.1080/10556788.2023.2296985
PersA-FL: personalized asynchronous federated learning
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  Authors: Mohammad Taha ToghaniSoomin LeeCésar A. Uribea Department of Electrical; computational optimal transport.
  Pages: 1 - 38
  Abstract: .
  
  Citation: Optimization Methods and Software
  PubDate: 2024-01-11T09:31:09Z
  DOI: 10.1080/10556788.2023.2280056

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