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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]
  • Customized Douglas-Rachford splitting methods for structured inverse
           variational inequality problems

    • Free pre-print version: Loading...

      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

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      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

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      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

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      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

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      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

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      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
       
  • 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: 1 - 33
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-08-08T11:47:06Z
      DOI: 10.1080/10556788.2023.2241148
       
  • The role of local steps in local SGD

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      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
       
  • 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: 1 - 15
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-07-10T08:31:09Z
      DOI: 10.1080/10556788.2023.2222434
       
  • 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: 1 - 27
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-07-10T08:29:06Z
      DOI: 10.1080/10556788.2023.2222429
       
  • 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: 1 - 39
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-06-08T03:01:04Z
      DOI: 10.1080/10556788.2023.2214837
       
  • 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: 1 - 50
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-06-08T02:59:30Z
      DOI: 10.1080/10556788.2023.2212503
       
  • 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: 1 - 17
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-06-08T02:55:34Z
      DOI: 10.1080/10556788.2023.2210253
       
  • 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: 1 - 24
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-05-19T09:20:01Z
      DOI: 10.1080/10556788.2023.2205644
       
  • 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: 1 - 13
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-05-09T01:59:45Z
      DOI: 10.1080/10556788.2023.2205645
       
  • 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: 1 - 21
      Abstract: .

      Citation: Optimization Methods and Software
      PubDate: 2023-05-02T01:41:36Z
      DOI: 10.1080/10556788.2023.2205646
       
 
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