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Optimization Methods and Software
Journal Prestige (SJR): 0.723
Citation Impact (citeScore): 1
Number of Followers: 5  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1055-6788 - ISSN (Online) 1029-4937
Published by Taylor and Francis Homepage  [2652 journals]
  • Bilevel optimization with a multi-objective lower-level problem:
           risk-neutral and risk-averse formulations

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      Authors: T. GiovannelliG. D. KentL. N. VicenteDepartment of Industrial; Data Science. He was elected chair of the SIAM Activity Group on Optimization for 2023–2025.
      Pages: 1 - 23
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2024-02-21T04:25:45Z
      DOI: 10.1080/10556788.2024.2318707
       
  • Sequential hierarchical least-squares programming for prioritized
           non-linear optimal control

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      Authors: Kai PfeifferAbderrahmane Kheddara School of Mechanical; a Knight of the National Order of Merits of France.
      Pages: 1 - 39
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2024-02-08T03:47:17Z
      DOI: 10.1080/10556788.2024.2307467
       
  • 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
       
  • Three-operator reflected forward-backward splitting algorithm with double
           inertial effects

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      Authors: Qiao-Li DongMin SuYekini Shehua College of Science; Civil Aviation University of China, Tianjin, People's Republic of Chinab School of Mathematical Sciences, Zhejiang Normal University, Jinhua, People's Republic of ChinaQiao-Li Dong is a Professor, at the College of Science, Civil Aviation University of China. Her research Interest are Nonlinear Analysis Technology (IST), Vienna, Austria.
      Pages: 1 - 26
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2024-02-05T12:17:55Z
      DOI: 10.1080/10556788.2024.2307470
       
  • Near-optimal tensor methods for minimizing the gradient norm of convex
           functions and accelerated primal–dual tensor methods

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      Authors: Pavel DvurechenskyPetr OstroukhovAlexander GasnikovCésar A. UribeAnastasiya Ivanovaa Weierstrass Institute for Applied Analysis; 2020, respectively. She is currently doing a PhD at the University of Grenoble Alpes.
      Pages: 1 - 36
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2024-02-05T11:54:36Z
      DOI: 10.1080/10556788.2023.2296443
       
  • PathWyse: a flexible, open-source library for the resource constrained
           shortest path problem

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      Authors: Matteo SalaniSaverio BassoVincenzo GiuffridaDipartimento Tecnologie Innovative; Istituto Dalle Molle di studi sull'intelligenza artificiale (IDSIA USISUPSI), Scuola Universitaria Professionale della Svizzera Italiana, Lugano, SwitzerlandMatteo Salani is a senior researcher at IDSIA. He obtained his PhD in Computer Science in 2006 at the University of Milan. His research focuses on combinatorial optimization, exploring exact data analytics.Vincenzo Giuffrida earned a BSc in Computer Science from the University of Milan in 2009, followed by a MSc in Computer Science from the same institution in 2012. Since 2019, he has been a researcher at IDSIA, focusing on applied research projects in the field of artificial intelligence.
      Pages: 1 - 23
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2024-02-05T11:52:28Z
      DOI: 10.1080/10556788.2023.2296978
       
  • Optimized convergence of stochastic gradient descent by weighted averaging

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      Authors: Melinda HagedornFlorian JarreMath.-Nat. Fakultät; Heinrich Heine Univ, Düsseldorf, Germany
      Pages: 1 - 26
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2024-02-05T11:41:25Z
      DOI: 10.1080/10556788.2024.2306383
       
  • Optimal inexactness schedules for tunable oracle-based methods

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      Authors: Guillaume Van DesselFrançois Glineura UCLouvain; ICTEAM (INMA), Louvain-la-Neuve, Belgiumb UCLouvain, CORE, Louvain-la-Neuve, BelgiumGuillaume Van Dessel earned his bachelor degree in electrical its application to data analysis.
      Pages: 1 - 35
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2024-02-05T11:38:49Z
      DOI: 10.1080/10556788.2023.2296982
       
  • Incremental quasi-Newton algorithms for solving a nonconvex, nonsmooth,
           finite-sum optimization problem

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      Authors: Gulcin Dinc YalcinFrank E. Curtisa Department of Industrial Engineering; Eskisehir Technical University, Eskisehir, Türkiyeb Department of Industrial is a recipient of the INFORMS Computing Society Prize.
      Pages: 1 - 23
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2024-01-29T04:29:20Z
      DOI: 10.1080/10556788.2023.2296432
       
  • Shape-changing trust-region methods using multipoint symmetric secant
           matrices

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      Authors: J. J. BrustJ. B. ErwayR. F. Marciaa Mathematics; University of California San Diego, La Jolla, CA, USAb Mathematics, Wake Forest University, Winston-Salem, NC, USAc Applied Mathematics, University of California Merced, Merced, CA, USAJ. Brust was in the Department of Mathematics at the University of California, San Diego. (Now in the School of Mathematical mathematical biology.
      Pages: 1 - 18
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2024-01-25T04:06:45Z
      DOI: 10.1080/10556788.2023.2296441
       
  • Barzilai–Borwein-like rules in proximal gradient schemes for
           ℓ1-regularized problems

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      Authors: Serena CrisciSimone RebegoldiGerardo ToraldoMarco Violaa Department of Mathematics; image processing.
      Pages: 1 - 33
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2024-01-25T04:00:23Z
      DOI: 10.1080/10556788.2023.2285489
       
  • 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
       
  • The use of a family of Gerstewitz scalarization functions in the context
           of vector optimization with variable domination structures to derive
           scalarization results

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      Authors: Lam Quoc AnhTran Ngoc Tama Department of Mathematics; Teacher College, Can Tho University, Can Tho, Vietnamb Department of Mathematics, College of Natural Sciences, Can Tho University, Can Tho, VietnamLam Quoc Anh, is Professor, at the Department of Mathematics, Teacher College, Can Tho University, Can Tho City, Viet Nam. His research Interest are Applied mathematics, including existence senitivity analysis conditions, wellposedness conditions for optimization models, with publications of 21 papers.
      Pages: 1 - 16
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2024-01-19T08:45:53Z
      DOI: 10.1080/10556788.2023.2296440
       
  • 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
       
  • Second-order cone programming for frictional contact mechanics using
           interior point algorithm

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      Authors: Vincent AcaryPaul ArmandHoang Minh NguyenMaksym Shpakovycha Univ. Grenoble Alpes; Inria, CNRS, Grenoble INP, Institute of Engineering, Grenoble, Franceb Univ. Limoges, Laboratoire XLIM, Limoges, FranceVincent Acary is Research Director Research Director Vincent Kermene at XLIM laboratory, University of Limoges, France. Until 2023, he worked as a postdoctoral fellow at AIRBUS/CERFACS/INRIA in Toulouse, France. He is currently a software engineer in OPTICALP's development office.
      Pages: 1 - 30
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2024-01-16T01:19:07Z
      DOI: 10.1080/10556788.2023.2296438
       
  • 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
       
  • A finite convergence algorithm for solving linear-quadratic network games
           with strategic complements and bounded strategies

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      Authors: M. PassacantandoF. Racitia Department of Business; stochastic equilibrium problems.
      Pages: 1105 - 1128
      Abstract: Volume 38, Issue 6, December 2023, Page 1105-1128
      .

      Citation: Optimization Methods and Software
      PubDate: 2023-05-19T09:20:01Z
      DOI: 10.1080/10556788.2023.2205644
      Issue No: Vol. 38, No. 6 (2023)
       
  • Towards global parameter estimation exploiting reduced data sets

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      Authors: Susanne SassAngelos TsoukalasIan H. BellDominik BongartzJaromił NajmanAlexander Mitsosa Process Systems Engineering (AVT.SVT); RWTH Aachen University, Aachen, Germanyb Department of Technology Climate Research: Energy Systems Engineering (IEK-10), Forschungszentrum Jülich GmbH, Jülich, Germany
      Pages: 1129 - 1141
      Abstract: Volume 38, Issue 6, December 2023, Page 1129-1141
      .

      Citation: Optimization Methods and Software
      PubDate: 2023-05-09T01:59:45Z
      DOI: 10.1080/10556788.2023.2205645
      Issue No: Vol. 38, No. 6 (2023)
       
  • Crossing edge minimization in radial outerplanar layered graphs using
           segment paths

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      Authors: Francisco Madera-RamírezJoel Antonio Trejo-SánchezJosé López-MartínezJorge Ríos-Martíneza Universidad Autónoma de Yucatán-Facultad de Matemáticas; Mérida, Mexicob CONACYT-Centro de Investigación en Matemáticas, Mérida, MexicoFrancisco Madera-Ramírez received his B.Sc. Degree from the Universidad Autónoma de Yucatán, México; his PhD from the University of East Anglia, UK. Dr. Madera teaches subjects related to computer graphics machine learning applications.
      Pages: 1142 - 1162
      Abstract: Volume 38, Issue 6, December 2023, Page 1142-1162
      .

      Citation: Optimization Methods and Software
      PubDate: 2023-05-02T01:41:36Z
      DOI: 10.1080/10556788.2023.2205646
      Issue No: Vol. 38, No. 6 (2023)
       
  • An adaptive regularization method in Banach spaces

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      Authors: S. GrattonS. JeradPh. L. Tointa INP; IRIT, Université de Toulouse, Toulouse, Franceb INP, IRIT, ANITI, 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: 1163 - 1179
      Abstract: Volume 38, Issue 6, December 2023, Page 1163-1179
      .

      Citation: Optimization Methods and Software
      PubDate: 2023-06-08T02:55:34Z
      DOI: 10.1080/10556788.2023.2210253
      Issue No: Vol. 38, No. 6 (2023)
       
  • Accelerated gradient methods with absolute and relative noise in the
           gradient

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      Authors: Artem VasinAlexander GasnikovPavel DvurechenskyVladimir Spokoinya Moscow Institute of Physics; a full professor at Humboldt University Berlin since 2002.
      Pages: 1180 - 1229
      Abstract: Volume 38, Issue 6, December 2023, Page 1180-1229
      .

      Citation: Optimization Methods and Software
      PubDate: 2023-06-08T02:59:30Z
      DOI: 10.1080/10556788.2023.2212503
      Issue No: Vol. 38, No. 6 (2023)
       
  • Practical perspectives on symplectic accelerated optimization

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      Authors: Valentin DuruisseauxMelvin LeokDepartment of Mathematics; University of California San Diego, La Jolla, CA, USAMelvin Leok is a professor of mathematics at the University of California, San Diego. At the California Institute of Technology, he completed a B.S. differential equations.
      Pages: 1230 - 1268
      Abstract: Volume 38, Issue 6, December 2023, Page 1230-1268
      .

      Citation: Optimization Methods and Software
      PubDate: 2023-06-08T03:01:04Z
      DOI: 10.1080/10556788.2023.2214837
      Issue No: Vol. 38, No. 6 (2023)
       
  • Sparse convex optimization toolkit: a mixed-integer framework

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      Authors: Alireza OlamaEduardo CamponogaraJan Kronqvista Automation; Engineering. In 2018, Jan was one of the winners of the COIN-OR Cup for their work on the SHOT solver. Jan is an editorial board member of the Journal of Global Optimization.
      Pages: 1269 - 1295
      Abstract: Volume 38, Issue 6, December 2023, Page 1269-1295
      .

      Citation: Optimization Methods and Software
      PubDate: 2023-07-10T08:29:06Z
      DOI: 10.1080/10556788.2023.2222429
      Issue No: Vol. 38, No. 6 (2023)
       
  • An equivalent nonlinear optimization model with triangular low-rank
           factorization for semidefinite programs

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      Authors: Yuya YamakawaTetsuya IkegamiEllen H. FukudaNobuo Yamashitaa Graduate School of Informatics; Kyoto University, Kyoto, Japanb Data their applications.
      Pages: 1296 - 1310
      Abstract: Volume 38, Issue 6, December 2023, Page 1296-1310
      .

      Citation: Optimization Methods and Software
      PubDate: 2023-07-10T08:31:09Z
      DOI: 10.1080/10556788.2023.2222434
      Issue No: Vol. 38, No. 6 (2023)
       
  • Urban air mobility: from complex tactical conflict resolution to network
           design and fairness insights

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      Authors: Mercedes PelegrínClaudia D'AmbrosioRémi DelmasYoussef Hamadia LIX CNRS; École Polytechnique, Institut Polytechnique de Paris, Palaiseau, Franceb Integrated Urban Mobility (IUM) Chair, École Polytechnique, Paris, FranceMercedes Pelegrín was born in Murcia, Spain, in 1992. She holds a Ph.D. degree in mathematics from the Universidad de Murcia. She was a Postdoctoral Researcher of the Integrated Urban Mobility Chair with the École Polytechnique in Palaiseau, France. Her research interests include mathematical programming, combinatorial optimization, the establishment of Europe's first research project on Computational Sustainability: Optimization for Sustainable Development. In recognition of his significant contributions, he was honored with a test-of-time award in 2019 for his 2006 Constraint Programming paper on algorithms auto-tuning. After joining Uber AI with a mission to create backbone algorithms for Urban Air Mobility, Youssef embarked on a new endeavor in 2022 by founding Tempero—a pioneering company developing the world's first Platform for High-Risk AI Analysis.
      Pages: 1311 - 1343
      Abstract: Volume 38, Issue 6, December 2023, Page 1311-1343
      .

      Citation: Optimization Methods and Software
      PubDate: 2023-08-08T11:47:06Z
      DOI: 10.1080/10556788.2023.2241148
      Issue No: Vol. 38, No. 6 (2023)
       
  • An ADMM based method for underdetermined box-constrained integer least
           squares problems

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      Authors: Xiao-Wen ChangTianchi MaSchool of Computer Science; McGill University, Montreal, QC, CanadaProf. Xiao-Wen Chang is with School of Computer Science, McGill University. He has published about 70 journal papers machine learning.Mr. Tianchi Ma is currently a software developer in Google Montreal.
      Pages: 1 - 24
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-12-28T03:21:56Z
      DOI: 10.1080/10556788.2023.2285492
       
  • Customized Douglas-Rachford splitting methods for structured inverse
           variational inequality problems

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      Authors: Y. N. JiangX. J. CaiD. R. HanJ. F. Yanga Department of Mathematics; Nanjing University, Nanjing, People's Republic of Chinab School of Mathematical Sciences, Jiangsu Key Lab for NSLSCS, Nanjing Normal University, Nanjing, People's Republic of Chinac School of Mathematical Sciences, Beihang University, LMIB data science.
      Pages: 1 - 25
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-11-24T04:22:02Z
      DOI: 10.1080/10556788.2023.2278092
       
  • Dual formulation of the sparsity constrained optimization problem:
           application to classification

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      Authors: M. GaudiosoG. GiallombardoJ.-B. Hiriart-Urrutya DIMES; Università della Calabria, Rende (CS), Italiab Institut de mathématiques, Université Paul Sabatier, Toulouse, FranceM. Gaudioso is professor emeritus at University of Calabria (Rende, Italy), where he has been professor of operations research until his retirement in 2019. His research interests include nondifferentiable optimization, mathematical programming for machine learning, popularization of science.
      Pages: 1 - 18
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-11-21T01:01:55Z
      DOI: 10.1080/10556788.2023.2278091
       
  • Inexact tensor methods and their application to stochastic convex
           optimization

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      Authors: Artem AgafonovDmitry KamzolovPavel DvurechenskyAlexander GasnikovMartin Takáča Moscow Institute of Physics; using ML for energy.
      Pages: 1 - 42
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-11-17T12:34:52Z
      DOI: 10.1080/10556788.2023.2261604
       
  • A hybrid direct search and projected simplex gradient method for convex
           constrained minimization

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      Authors: A. L. CustódioE. H. M. KrulikovskiM. Raydana Center for Mathematics; numerical linear algebra, with a special focus on the development of algorithms for large-scale computations.
      Pages: 1 - 35
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-11-15T09:24:21Z
      DOI: 10.1080/10556788.2023.2263618
       
  • More on second-order properties of the Moreau regularization-approximation
           of a convex function

    • Free pre-print version: Loading...

      Authors: J.-B. Hiriart-UrrutyInstitut de Mathématiques; Université Paul Sabatier de Toulouse, Toulouse Cedex 09, FranceJ.-B. Hiriart-Urruty has been Professor of Mathematics at the Paul Sabatier University in Toulouse (France) from 1981 to 2015. He is Emeritus Professor since 2015.
      Pages: 1 - 15
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-11-14T11:36:33Z
      DOI: 10.1080/10556788.2023.2258258
       
  • A two-step new modulus-based matrix splitting method for vertical linear
           complementarity problem

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      Authors: Cuixia LiShiliang Wua School of Mathematics; Yunnan Normal University, Kunming, Yunnan, People's Republic of Chinab Yunnan Key Laboratory of Modern Analytical Mathematics optimization.
      Pages: 1 - 17
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-11-09T09:32:31Z
      DOI: 10.1080/10556788.2023.2278090
       
  • Learning graph Laplacian with MCP

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      Authors: Yangjing ZhangKim-Chuan TohDefeng Suna Institute of Applied Mathematics; Academy of Mathematics data science.
      Pages: 1 - 32
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-11-07T11:40:27Z
      DOI: 10.1080/10556788.2023.2269594
       
  • Loraine – an interior-point solver for low-rank semidefinite
           programming

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      Authors: Soodeh HabibiMichal KočvaraMichael Stingla School of Mathematics; University of Birmingham, Birmingham, UKb Institute of Information Theory EU grants.
      Pages: 1 - 31
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-10-23T03:30:35Z
      DOI: 10.1080/10556788.2023.2250522
       
  • AB/Push-Pull method for distributed optimization in time-varying directed
           networks

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      Authors: Angelia NedićDuong Thuy Anh NguyenDuong Tung NguyenSchool of Electrical; Computer crowdsourcing.
      Pages: 1 - 28
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-10-17T12:51:40Z
      DOI: 10.1080/10556788.2023.2261602
       
  • A note on the computational complexity of chain rule differentiation

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      Authors: U. NaumannSoftware; finance.
      Pages: 1 - 8
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-10-17T12:49:26Z
      DOI: 10.1080/10556788.2023.2263809
       
  • IntSat: integer linear programming by conflict-driven constraint learning

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      Authors: Robert NieuwenhuisAlbert OliverasEnric Rodríguez-CarbonellDepartment of Computer Science; Universitat Politècnica de Catalunya, Barcelona, SpainRobert Nieuwenhuis, B.S. to combinatorial problem solving.
      Pages: 1 - 28
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-09-27T11:28:13Z
      DOI: 10.1080/10556788.2023.2246167
       
  • Convergence analysis of stochastic higher-order
           majorization–minimization algorithms

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      Authors: Daniela LupuIon Necoaraa Automatic Control; Applied Mathematics of the Romanian Academy. His research interests cover various topics in developing new optimization algorithms with a focus on mathematical guarantees about their performance.
      Pages: 1 - 30
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-09-25T11:56:29Z
      DOI: 10.1080/10556788.2023.2256447
       
  • A highly efficient algorithm for solving exclusive lasso problems

    • Free pre-print version: Loading...

      Authors: Meixia LinYancheng YuanDefeng SunKim-Chuan Toha Engineering Systems; data science.
      Pages: 1 - 30
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-09-25T11:56:27Z
      DOI: 10.1080/10556788.2023.2253356
       
  • GBOML: a structure-exploiting optimization modelling language in Python

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      Authors: Bardhyl MiftariMathias BergerGuillaume DervalQuentin LouveauxDamien Ernsta University of Liège; Liège, Belgiumb LTCI, Telecom Paris, Institut Polytechnique de Paris, Palaiseau, France
      Pages: 1 - 30
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-09-08T07:28:39Z
      DOI: 10.1080/10556788.2023.2246169
       
  • Techniques for accelerating branch-and-bound algorithms dedicated to
           sparse optimization

    • Free pre-print version: Loading...

      Authors: Gwenaël SamainSébastien BourguignonJordan Ninina Nantes Université; École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000, Nantes, Franceb Lab-STICC, CNRS UMR 6285, ENSTA Bretagne, Brest Cedex, FranceGwenaël Samain is a PhD student from Ecole Centrale, Nantes, signal processing.
      Pages: 1 - 38
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-08-31T02:41:03Z
      DOI: 10.1080/10556788.2023.2241154
       
  • A class of projected-search methods for bound-constrained optimization

    • Free pre-print version: Loading...

      Authors: Michael W. FerryPhilip E. GillElizabeth WongMinxin Zhanga NVIDIA Corporation; Hillsboro, Oregon, USAb Department of Mathematics, University of California, San Diego, La Jolla, CA, USAMichael W. Ferry received his Ph.D. in Mathematics from the University of California, San Diego. He is currently at NVIDIA Corporation.Philip E. Gill is a Professor of Mathematics at the University of California, San Diego. His research areas include scientific computation optimal control.
      Pages: 1 - 30
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-08-18T02:13:21Z
      DOI: 10.1080/10556788.2023.2241769
       
  • A new inertial projected reflected gradient method with application to
           optimal control problems

    • Free pre-print version: Loading...

      Authors: Chinedu IzuchukwuYekini Shehua School of Mathematics; University of the Witwatersrand, Johannesburg, South Africab School of Mathematical Sciences, Zhejiang Normal University, Jinhua, People's Republic of ChinaChinedu Izuchukwu is a Lecturer at the School of Mathematics, University of the Witwatersrand, South Africa. He obtained his doctoral degree from the University of KwaZulu-Natal, South Africa. He was a postdoctoral fellow at the Technion-Israel Institute of Technology, Haifa, Israel. His research interests lie in the areas of continuous Technology (IST), Vienna, Austria from 01 June 2019 to 30 September 2021.
      Pages: 1 - 30
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-08-15T11:17:01Z
      DOI: 10.1080/10556788.2023.2246168
       
  • Distributionally robust joint chance-constrained programming with
           Wasserstein metric

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      Authors: Yining GuYanjun WangSchool of Mathematics; Shanghai University of Finance their applications.
      Pages: 1 - 35
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-08-08T11:47:13Z
      DOI: 10.1080/10556788.2023.2241149
       
  • The role of local steps in local SGD

    • Free pre-print version: Loading...

      Authors: Tiancheng QinS. Rasoul EtesamiCésar A. Uribea Department of Industrial; computational optimal transport.
      Pages: 1 - 27
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-08-07T10:59:40Z
      DOI: 10.1080/10556788.2023.2241151
       
 
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