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ORCIDLadislav Luksan
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2020 – today
- 2021
[j36]Jan Vlcek
, Ladislav Luksan:
Two limited-memory optimization methods with minimum violation of the previous secant conditions. Comput. Optim. Appl. 80(3): 755-780 (2021)
2010 – 2019
- 2019
- [j35]Jan Vlcek, Ladislav Luksan:
A limited-memory optimization method using the infinitely many times repeated BNS update and conjugate directions. J. Comput. Appl. Math. 351: 14-28 (2019) - [j34]Jan Vlcek, Ladislav Luksan:
Properties of the block BFGS update and its application to the limited-memory block BNS method for unconstrained minimization. Numer. Algorithms 80(3): 957-987 (2019) - 2015
- [j33]Jan Vlcek, Ladislav Luksan:
A modified limited-memory BNS method for unconstrained minimization based on the conjugate directions idea. Optim. Methods Softw. 30(3): 616-633 (2015) - 2014
- [j32]Ladislav Luksan, Jan Vlcek:
Efficient tridiagonal preconditioner for the matrix-free truncated Newton method. Appl. Math. Comput. 235: 394-407 (2014) - 2013
- [j31]Jan Vlcek, Ladislav Luksan:
Generalizations of the limited-memory BFGS method based on the quasi-product form of update. J. Comput. Appl. Math. 241: 116-129 (2013) - [j30]Ladislav Luksan, Jan Vlcek:
Recursive form of general limited memory variable metric methods. Kybernetika 49(2): 224-235 (2013) - 2012
- [j29]Jan Vlcek, Ladislav Luksan:
A conjugate directions approach to improve the limited-memory BFGS method. Appl. Math. Comput. 219(3): 800-809 (2012) - 2010
- [j28]Ladislav Luksan, Ctirad Matonoha, Jan Vlcek:
Primal interior point method for minimization of generalized minimax functions. Kybernetika 46(4): 697-721 (2010)
2000 – 2009
- 2009
- [j27]Ladislav Luksan, Ctirad Matonoha, Jan Vlcek:
Primal Interior-Point Method for Large Sparse Minimax Optimization. Kybernetika 45(5): 841-864 (2009) - [j26]Jan Hartman, Ladislav Luksan, Jan Zítko:
Automatic Differentiation and Its Program Realization. Kybernetika 45(5): 865-883 (2009) - [j25]Ladislav Luksan, Ctirad Matonoha, Jan Vlcek:
Algorithm 896: LSA: Algorithms for large-scale optimization. ACM Trans. Math. Softw. 36(3): 16:1-16:29 (2009) - 2007
- [j24]Ladislav Luksan, Ctirad Matonoha, Jan Vlcek:
Trust-region interior-point method for large sparse l 1 optimization. Optim. Methods Softw. 22(5): 737-753 (2007) - 2005
- [j23]Ladislav Luksan, Ctirad Matonoha, Jan Vlcek:
Interior point methods for large-scale nonlinear programming. Optim. Methods Softw. 20(4-5): 569-582 (2005) - 2004
- [j22]Ladislav Luksan, Ctirad Matonoha, Jan Vlcek:
Interior-point method for non-linear non-convex optimization. Numer. Linear Algebra Appl. 11(5-6): 431-453 (2004) - 2001
- [j21]Ladislav Luksan, Jan Vlcek:
Algorithm 811: NDA: algorithms for nondifferentiable optimization. ACM Trans. Math. Softw. 27(2): 193-213 (2001)
1990 – 1999
- 1999
- [j20]Marko M. Mäkelä, Markku Miettinen, Ladislav Luksan, Jan Vlcek:
Comparing Nonsmooth Nonconvex Bundle Methods in Solving Hemivariational Inequalities. J. Glob. Optim. 14(2): 117-135 (1999) - 1998
- [j19]Ladislav Luksan, Jan Vlcek:
A bundle-Newton method for nonsmooth unconstrained minimization. Math. Program. 83: 373-391 (1998) - [j18]Ladislav Luksan, Jan Vlcek:
Indefinitely preconditioned inexact Newton method for large sparse equality constrained non-linear programming problems. Numer. Linear Algebra Appl. 5(3): 219-247 (1998) - 1996
- [j17]Ladislav Luksan:
Efficient trust region method for nonlinear least squares. Kybernetika 32(2): 105-120 (1996) - [j16]Ladislav Luksan:
Combined trust region methods for nonlinear least squares. Kybernetika 32(2): 121-138 (1996) - [j15]Ladislav Luksan, Jan Vlcek:
Optimization of dynamical systems. Kybernetika 32(5): 465-482 (1996) - 1993
- [j14]Ladislav Luksan:
Inexact trust region method for large sparse nonlinear least squares. Kybernetika 29(4): 305-324 (1993) - 1992
- [j13]Ladislav Luksan:
Computational experience with improved conjugate gradient methods for unconstrained minimization. Kybernetika 28(4): 249-262 (1992) - 1990
- [j12]Ladislav Luksan:
Computational experience with improved variable metric methods for unconstrained minimization. Kybernetika 26(5): 415-431 (1990)
1980 – 1989
- 1986
- [j11]Ladislav Luksan:
A compact variable metric algorithm for nonlinear minimax approximation. Computing 36(4): 355-373 (1986) - [j10]Ladislav Luksan:
Conjugate direction algorithms for extended conic functions. Kybernetika 22(1): 31-46 (1986) - 1985
- [j9]Ladislav Luksan:
An implementation of recursive quadratic programming variable metric methods for linearly constrained nonlinear minimax approximation. Kybernetika 21(1): 22-40 (1985) - [j8]Ladislav Luksan:
Variable metric methods for a class of extended conic functions. Kybernetika 21(2): 96-107 (1985) - [j7]Ladislav Luksan:
A compact variable metric algorithm for linearly constrained nonlinear minimax approximation. Kybernetika 21(6): 405-427 (1985) - 1984
- [j6]Ladislav Luksan:
Dual method for solving a special problem of quadratic programming as a subproblem at linearly constrained nonlinear minimax approximation. Kybernetika 20(6): 445-457 (1984) - 1983
- [j5]Ladislav Luksan:
Variable metric methods for linearly constrained nonlinear minimax approximation. Computing 30(4): 315-334 (1983) - 1982
- [j4]Ladislav Luksan:
New combined method for unconstrained minimization. Computing 28(2): 155-169 (1982) - [j3]Ladislav Luksan:
Quasi-Newton methods without projections for unconstrained minimization. Kybernetika 18(4): 290-306 (1982) - [j2]Ladislav Luksan:
Quasi-Newton methods without projections for linearly constrained minimization. Kybernetika 18(4): 307-319 (1982) - [j1]Ladislav Luksan:
Variable metric method with limited storage for large-scale unconstrained minimization. Kybernetika 18(6): 517-528 (1982)
Coauthor Index
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