Search results
- 1.0569924 - ÚTIA 2023 RIV NL eng J - Journal Article
Gfrerer, H. - Outrata, Jiří - Valdman, Jan
On the Application of the SCD Semismooth* Newton Method to Variational Inequalities of the Second Kind.
Set-Valued and Variational Analysis. Roč. 30, č. 4 (2022), s. 1453-1484. ISSN 1877-0533. E-ISSN 1877-0541
R&D Projects: GA ČR GF21-06569K
Institutional support: RVO:67985556
Keywords : Newton method * Semismoothness∗ * Superlinear convergence * Global convergence * Generalized equation * Coderivatives
OECD category: Pure mathematics
Impact factor: 1.6, year: 2022
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2023/MTR/valdman-0569924.pdf https://link.springer.com/article/10.1007/s11228-022-00651-2
Permanent Link: https://hdl.handle.net/11104/0341243 - 2.0566981 - ÚI 2023 CZ eng V - Research Report
Vlček, Jan - Lukšan, Ladislav
Some modifications of the limited-memory variable metric optimization methods.
Prague: ICS CAS, 2023. 11 s. Technical Report, V-1290.
Institutional support: RVO:67985807
Keywords : unconstrained minimization * variable metric methods * limited-memory methods * variationally derived methods * arithmetic operations reduction * global convergence
Permanent Link: https://hdl.handle.net/11104/0338248File Download Size Commentary Version Access 0566981-vz1290-1.pdf 12 209 KB Other open-access - 3.0545840 - ÚI 2022 RIV US eng J - Journal Article
Vlček, Jan - Lukšan, Ladislav
Two limited-memory optimization methods with minimum violation of the previous secant conditions.
Computational Optimization and Applications. Roč. 80, č. 3 (2021), s. 755-780. ISSN 0926-6003. E-ISSN 1573-2894
Institutional support: RVO:67985807
Keywords : Unconstrained minimization * Variable metric methods * Limited-memory methods * Variationally derived methods * Global convergence * Numerical results
OECD category: Applied mathematics
Impact factor: 2.005, year: 2021
Method of publishing: Limited access
http://dx.doi.org/10.1007/s10589-021-00318-y
Permanent Link: http://hdl.handle.net/11104/0322481 - 4.0532367 - ÚI 2021 CZ eng V - Research Report
Vlček, Jan - Lukšan, Ladislav
Two limited-memory optimization methods with minimum violation of the previous quasi-Newton equations.
Prague: ICS CAS, 2020. 21 s. Technical Report, V-1280.
Institutional support: RVO:67985807
Keywords : unconstrained minimization * variable metric methods * limited-memory methods * variationally derived methods * global convergence * numerical results
Permanent Link: http://hdl.handle.net/11104/0310865File Download Size Commentary Version Access 0532367-V-1280.pdf 36 300.1 KB V-1280 v.1 Other open-access - 5.0504548 - ÚI 2020 RIV CZ eng C - Conference Paper (international conference)
Vlček, Jan - Lukšan, Ladislav
Application of the Infinitely Many Times Repeated BNS Update and Conjugate Directions to Limited-Memory Optimization Methods.
Programs and Algorithms of Numerical Mathematics 19. Prague: Institute of Mathematics of the Czech Academy of Sciences, 2019 - (Chleboun, J.; Kůs, P.; Přikryl, P.; Rozložník, M.; Segeth, K.; Šístek, J.; Vejchodský, T.), s. 177-185. ISBN 978-80-85823-69-1.
[Programs and Algorithms of Numerical Mathematics /19./. Hejnice (CZ), 24.06.2018-29.06.2018]
Institutional support: RVO:67985807
Keywords : unconstrained minimization * limited-memory variable metric methods * the repeated Byrd-Nocedal-Schnabel update * the Lyapunov matrix equation * the conjugate directions * global convergence * numerical results
OECD category: Applied mathematics
Permanent Link: http://hdl.handle.net/11104/0296152File Download Size Commentary Version Access 0504548-a.pdf 3 377.8 KB Publisher’s postprint require - 6.0497050 - ÚI 2020 RIV NL eng J - Journal Article
Vlček, Jan - Lukšan, Ladislav
A Limited-memory Optimization Method Using the Infinitely Many Times Repeated BNS Update and Conjugate Directions.
Journal of Computational and Applied Mathematics. Roč. 351, 1 May (2019), s. 14-28. ISSN 0377-0427. E-ISSN 1879-1778
Institutional support: RVO:67985807
Keywords : Unconstrained minimization * Limited-memory variable metric methods * The repeated Byrd–Nocedal–Schnabel update * The Lyapunov matrix equation * Global convergence * Numerical results
OECD category: Applied mathematics
Impact factor: 2.037, year: 2019
Method of publishing: Limited access
http://dx.doi.org/10.1016/j.cam.2018.10.054
Permanent Link: http://hdl.handle.net/11104/0289654 - 7.0488869 - ÚI 2020 RIV NL eng J - Journal Article
Vlček, Jan - Lukšan, Ladislav
Properties of the block BFGS update and its application to the limited-memory block BNS method for unconstrained minimization.
Numerical Algorithms. Roč. 80, č. 3 (2019), s. 957-987. ISSN 1017-1398. E-ISSN 1572-9265
R&D Projects: GA ČR GA13-06684S
Institutional support: RVO:67985807
Keywords : Unconstrained minimization * Block variable metric methods * Limited-memory methods * BFGS update * Global convergence * Numerical results
OECD category: Applied mathematics
Impact factor: 2.064, year: 2019
Method of publishing: Limited access
http://dx.doi.org/10.1007/s11075-018-0513-3
Permanent Link: http://hdl.handle.net/11104/0283390 - 8.0487996 - ÚI 2018 CZ eng V - Research Report
Vlček, Jan - Lukšan, Ladislav
A limited-memory optimization method using the infinitely many times repeated BNS update and conjugate directions.
Prague: ICS CAS, 2018. 20 s. Technical Report, V-1245.
Institutional support: RVO:67985807
Keywords : Unconstrained minimization * variable metric methods * limited-memory methods * the repeated BFGS update * global convergence * numerical results
OECD category: Applied mathematics
Permanent Link: http://hdl.handle.net/11104/0282623File Download Size Commentary Version Access v1245-18.pdf 14 268.7 KB Other open-access - 9.0476437 - ÚI 2018 RIV CZ eng C - Conference Paper (international conference)
Vlček, Jan - Lukšan, Ladislav
A Generalized Limited-Memory BNS Method Based on the Block BFGS Update.
Programs and algorithms of numerical mathematics 18. Prague: Institute of Mathematics CAS, 2017 - (Chleboun, J.; Kůs, P.; Přikryl, P.; Segeth, K.; Šístek, J.; Vejchodský, T.), s. 164-171. ISBN 978-80-85823-67-7.
[Programs and Algorithms of Numerical Mathematics /18./. Janov nad Nisou (CZ), 19.06.2016-24.06.2016]
R&D Projects: GA ČR GA13-06684S
Institutional support: RVO:67985807
Keywords : unconstrained minimization * block variable metric methods * limited-memory methods * the BFGS update * global convergence * numerical results
OECD category: Applied mathematics
http://dml.cz/handle/10338.dmlcz/703010
Permanent Link: http://hdl.handle.net/11104/0272937File Download Size Commentary Version Access PANM_18-2016-1_22.pdf 4 254 KB Publisher’s postprint open-access - 10.0475553 - ÚI 2018 CZ eng V - Research Report
Vlček, Jan - Lukšan, Ladislav
Properties of the block BFGS update and its application to the limited-memory block BNS method for unconstrained minimization.
Prague: ICS CAS, 2017. 26 s. Technical Report, V-1244.
R&D Projects: GA ČR GA13-06684S
Institutional support: RVO:67985807
Keywords : unconstrained minimization * block variable metric methods * limited-memory methods * the BFGS update * global convergence * numerical results
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0272241File Download Size Commentary Version Access v1244-17.pdf 21 320.7 KB Other open-access