Search results

  1. 1.
    0532968 - ÚTIA 2023 RIV GB eng J - Journal Article
    Ho, Ch. P. - Kočvara, Michal - Parpas, P.
    Newton-type multilevel optimization method.
    Optimization Methods & Software. Roč. 37, č. 1 (2022), s. 45-78. ISSN 1055-6788. E-ISSN 1029-4937
    Institutional support: RVO:67985556
    Keywords : Newton's method * multilevel algorithms * multigrid methods * unconstrained optimization
    OECD category: Pure mathematics
    Impact factor: 2.2, year: 2022
    Method of publishing: Limited access
    http://library.utia.cas.cz/separaty/2020/MTR/kocvara-0532968.pdf https://www.tandfonline.com/doi/full/10.1080/10556788.2019.1700256
    Permanent Link: http://hdl.handle.net/11104/0311787
     
     
  2. 2.
    0444129 - ÚI 2016 RIV CZ eng C - Conference Paper (international conference)
    Vlček, Jan - Lukšan, Ladislav
    A Modified Limited-Memory BNS Method for Unconstrained Minimization Derived from the Conjugate Directions Idea.
    Programs and algorithms of numerical mathematics 17. Proceedings of seminar. Praha: Matematický ústav AV ČR, v.v.i, 2015 - (Chleboun, J.; Přikryl, P.; Segeth, K.; Šístek, J.; Vejchodský, T.), s. 237-243. ISBN 978-80-85823-64-6.
    [Programs and Algorithms of Numerical Mathematics /17./. Dolní Maxov (CZ), 08.06.2014-13.06.2014]
    R&D Projects: GA ČR GA13-06684S
    Institutional support: RVO:67985807
    Keywords : large scale unconstrained optimization * numerical experiments * limited-memory variable metric method * BNS method * quasi-Newton method * convergence
    Subject RIV: BA - General Mathematics
    http://dml.cz/handle/10338.dmlcz/702689
    Permanent Link: http://hdl.handle.net/11104/0246707
    FileDownloadSizeCommentaryVersionAccess
    PANM_17-2014-1_37.pdf3206.2 KBPublisher’s postprintopen-access
     
     
  3. 3.
    0427366 - ÚI 2015 RIV US eng J - Journal Article
    Lukšan, Ladislav - Vlček, Jan
    Efficient Tridiagonal Preconditioner for the Matrix-Free Truncated Newton Method.
    Applied Mathematics and Computation. Roč. 235, 25 May (2014), s. 394-407. ISSN 0096-3003. E-ISSN 1873-5649
    R&D Projects: GA ČR GA13-06684S
    Institutional support: RVO:67985807
    Keywords : unconstrained optimization * large scale optimization * matrix-free truncated Newton method * preconditioned conjugate gradient method * preconditioners obtained by the directional differentiation * numerical algorithms
    Subject RIV: BA - General Mathematics
    Impact factor: 1.551, year: 2014
    Permanent Link: http://hdl.handle.net/11104/0232910
     
     
  4. 4.
    0405605 - UIVT-O 330987 SIGLE CZ eng V - Research Report
    Lukšan, Ladislav - Matonoha, Ctirad - Vlček, Jan
    Trust-Region Interior-Point Method for Large Sparse l1 Optimization.
    Prague: ICS AS CR, 2005. 18 s. Technical Report, V-942.
    R&D Projects: GA AV ČR IAA1030405
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : unconstrained optimization * large-scale optimization * nonsmooth optimization * minimax optimization * interior-point methods * modified Newton methods * computational experiments
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0125755
    FileDownloadSizeCommentaryVersionAccess
    v942-05.pdf23205.7 KBOtheropen-access
     
     
  5. 5.
    0405594 - UIVT-O 330974 SIGLE CZ eng V - Research Report
    Lukšan, Ladislav - Matonoha, Ctirad - Vlček, Jan
    Primal Interior-Point Method for Large Sparse Minimax Optimization.
    Prague: ICS AS CR, 2005. 25 s. Technical Report, V-941.
    R&D Projects: GA AV ČR IAA1030405
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : unconstrained optimization * large-scale optimization * nonsmooth optimization * minimax optimization * interior-point methods * modified Newton methods * computational experiments
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0125748
    FileDownloadSizeCommentaryVersionAccess
    v941-05.pdf31256.3 KBOtheropen-access
     
     
  6. 6.
    0405435 - UIVT-O 330810 SIGLE CZ eng V - Research Report
    Lukšan, Ladislav - Vlček, Jan
    Variable Metric Method for Minimization of Partially Separable Nonsmooth Functions.
    Prague: ICS AS CR, 2005. 12 s. Technical Report, V-916.
    R&D Projects: GA AV ČR IAA1030405
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : unconstrained optimization * large-scale optimization * nonsmooth optimization * bundle-type methods * variable metric methods * nonlinear least squares * partially separable problems * computational experiments
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0125601
    FileDownloadSizeCommentaryVersionAccess
    v916-05.pdf21160.4 KBOtheropen-access
     
     
  7. 7.
    0405160 - UIVT-O 20030136 CZ eng V - Research Report
    Lukšan, Ladislav - Vlček, Jan
    Test Problems for Unconstrained Optimization.
    Prague: ICS AS CR, 2003. 26 s. Technical Report, V-897.
    R&D Projects: GA AV ČR IAA1030103
    Institutional research plan: AV0Z1030915
    Keywords : unconstrained optimization * test problems
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0125358
    FileDownloadSizeCommentaryVersionAccess
    V897-verze2018.pdf77145.4 KBOtheropen-access
     
     
  8. 8.
    0403730 - UIVT-O 990021 CZ eng V - Research Report
    Lukšan, Ladislav - Spedicato, E. - Vlček, Jan
    Variable Metric Methods for Unconstrained Optimization.
    Prague: ICS AS CR, 1999. 50 s. Technical Report, V-780.
    R&D Projects: GA ČR GA201/96/0918
    Keywords : Quasi-Newton methods * variable metric methods * unconstrained optimization * nonlinear least-squares * nonsmooth optimization * sparse problems * limited storage methods
    Permanent Link: http://hdl.handle.net/11104/0124023
    FileDownloadSizeCommentaryVersionAccess
    v780-99.pdf30393.5 KBOtheropen-access
     
     
  9. 9.
    0403536 - UIVT-O 990008 CZ cze K - Conference Paper (Czech conference)
    Lukšan, Ladislav - Vlček, Jan
    Užití metod s proměnnou metrikou pro nehladkou minimalizaci.
    [Application of variable metric methods for nonsmooth minimization.]
    Programy a algoritmy numerické matematiky 9. Praha: Matematický ústav AV ČR, 1998, s. 121-125.
    [Programy a algoritmy numerické matematiky /9./. Kořenov (CZ), 08.06.1998-12.06.1998]
    R&D Projects: GA ČR GA201/96/0918
    Keywords : unconstrained optimization * nonsmooth optimization * variable metric methods * global convergence
    Permanent Link: http://hdl.handle.net/11104/0123838
     
     
  10. 10.
    0403533 - UIVT-O 20000015 RIV NL eng J - Journal Article
    Lukšan, Ladislav - Spedicato, E.
    Variable Metric Methods for Unconstrained Optimization and Nonlinear Least Squares.
    Journal of Computational and Applied Mathematics. Roč. 124, č. 1-2 (2000), s. 61-95. ISSN 0377-0427. E-ISSN 1879-1778
    R&D Projects: GA ČR GA201/00/0080
    Institutional research plan: AV0Z1030915
    Keywords : quasi-Newton methods * variable metric methods * unconstrained optimization * nonlinear least squares * sparse problems * partially separable problems * limited-memory methods
    Subject RIV: BA - General Mathematics
    Impact factor: 0.455, year: 2000
    Permanent Link: http://hdl.handle.net/11104/0123835
     
     

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.