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- 1.0494459 - ÚI 2019 CZ eng V - Research Report
Lukšan, Ladislav - Matonoha, Ctirad - Vlček, Jan
Problems for Nonlinear Least Squares and Nonlinear Equations.
Prague: ICS CAS, 2018. 36 s. Technical Report, V-1259.
Institutional support: RVO:67985807
Keywords : large-scale optimization * least squares * nonlinear equations, * test problems
OECD category: Pure mathematics
Permanent Link: http://hdl.handle.net/11104/0287645File Download Size Commentary Version Access V1259-18-0494459.pdf 104 168.4 KB Other open-access - 2.0494457 - ÚI 2019 CZ eng V - Research Report
Lukšan, Ladislav - Matonoha, Ctirad - Vlček, Jan
Sparse Test Problems for Nonlinear Least Squares.
Prague: ICS CAS, 2018. 20 s. Technical Report, V-1258.
Institutional support: RVO:67985807
Keywords : large-scale optimization * least squares * test problems
OECD category: Pure mathematics
Permanent Link: http://hdl.handle.net/11104/0287643File Download Size Commentary Version Access V1258-18.pdf 50 122.6 KB Other open-access - 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 - 4.0405605 - 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/11104/0125755File Download Size Commentary Version Access v942-05.pdf 23 205.7 KB Other open-access - 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/11104/0125748File Download Size Commentary Version Access v941-05.pdf 31 256.3 KB Other open-access - 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/11104/0125601File Download Size Commentary Version Access v916-05.pdf 21 160.4 KB Other open-access - 7.0390286 - ÚI 2013 RIV CZ eng K - Conference Paper (Czech conference)
Vlček, Jan - Lukšan, Ladislav
Modifications of the limited-memory BFGS method based on the idea of conjugate directions.
Programs and Algorithms of Numerical Matematics 16. Prague: Institute of Mathematics, Academy of Sciences of the Czech Republic, 2013 - (Chleboun, J.; Segeth, K.; Šístek, J.; Vejchodský, T.), s. 209-214. ISBN 978-80-85823-62-2.
[Programy a algoritmy numerické matematiky /16./. Dolní Maxov (CZ), 03.06.2012-08.06.2012]
Institutional support: RVO:67985807
Keywords : limited memory * variable metric methods * conjugate directions * large scale optimization * numerical solution
Subject RIV: BA - General Mathematics
http://users.math.cas.cz/~panm/Panm16/proceedings_final/209_vlcek.pdf
Permanent Link: http://hdl.handle.net/11104/0219149File Download Size Commentary Version Access a0390286.pdf 1 124.1 KB Publisher’s postprint open-access - 8.0387226 - ÚI 2013 CZ eng V - Research Report
Lukšan, Ladislav - Vlček, Jan
Efficient tridiagonal preconditioner for the matrix-free truncated Newton method.
Prague: ICS AS CR, 2013. 18 s. Technical Report, V-1177.
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
Permanent Link: http://hdl.handle.net/11104/0216972File Download Size Commentary Version Access v1177-13.pdf 55 156.7 KB Other open-access - 9.0381993 - ÚI 2014 RIV CZ eng J - Journal Article
Lukšan, Ladislav - Vlček, Jan
Recursive form of general limited memory variable metric methods.
Kybernetika. Roč. 49, č. 2 (2013), s. 224-235. ISSN 0023-5954
Institutional support: RVO:67985807
Keywords : unconstrained optimization * large scale optimization * limited memory methods * variable metric updates * recursive matrix formulation * algorithms
Subject RIV: BA - General Mathematics
Impact factor: 0.563, year: 2013
http://dml.cz/handle/10338.dmlcz/143365
Permanent Link: http://hdl.handle.net/11104/0212341File Download Size Commentary Version Access Kybernetika_49-2013-2_3.pdf 29 300.7 KB Publisher’s postprint open-access - 10.0350416 - ÚI 2011 CZ eng V - Research Report
Lukšan, Ladislav - Matonoha, Ctirad - Vlček, Jan
Band preconditioners for the matrix-free truncated Newton method.
Prague: ICS AS CR, 2010. 21 s. Technical Report, V-1079.
R&D Projects: GA ČR GA201/09/1957
Institutional research plan: CEZ:AV0Z10300504
Keywords : unconstrained optimization * large scale optimization * truncated Newton method * matrix-free Newton method * band preconditioners * algorithms
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0190429File Download Size Commentary Version Access v1079-10.pdf 26 214.2 KB Other open-access