Ladislav Luksan

According to our database1, Ladislav Luksan authored at least 36 papers between 1982 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Two limited-memory optimization methods with minimum violation of the previous secant conditions.
Comput. Optim. Appl., 2021

2019
Properties of the block BFGS update and its application to the limited-memory block BNS method for unconstrained minimization.
Numer. Algorithms, 2019

A limited-memory optimization method using the infinitely many times repeated BNS update and conjugate directions.
J. Comput. Appl. Math., 2019

2015
A modified limited-memory BNS method for unconstrained minimization based on the conjugate directions idea.
Optim. Methods Softw., 2015

2014
Efficient tridiagonal preconditioner for the matrix-free truncated Newton method.
Appl. Math. Comput., 2014

2013
Recursive form of general limited memory variable metric methods.
Kybernetika, 2013

Generalizations of the limited-memory BFGS method based on the quasi-product form of update.
J. Comput. Appl. Math., 2013

2012
A conjugate directions approach to improve the limited-memory BFGS method.
Appl. Math. Comput., 2012

2010
Primal interior point method for minimization of generalized minimax functions.
Kybernetika, 2010

2009
Algorithm 896: LSA: Algorithms for large-scale optimization.
ACM Trans. Math. Softw., 2009

Primal Interior-Point Method for Large Sparse Minimax Optimization.
Kybernetika, 2009

Automatic Differentiation and Its Program Realization.
Kybernetika, 2009

2007
Trust-region interior-point method for large sparse <i>l</i> <sub>1</sub> optimization.
Optim. Methods Softw., 2007

2005
Interior point methods for large-scale nonlinear programming.
Optim. Methods Softw., 2005

2004
Interior-point method for non-linear non-convex optimization.
Numer. Linear Algebra Appl., 2004

2001
Algorithm 811: NDA: algorithms for nondifferentiable optimization.
ACM Trans. Math. Softw., 2001

1999
Comparing Nonsmooth Nonconvex Bundle Methods in Solving Hemivariational Inequalities.
J. Glob. Optim., 1999

1998
Indefinitely preconditioned inexact Newton method for large sparse equality constrained non-linear programming problems.
Numer. Linear Algebra Appl., 1998

A bundle-Newton method for nonsmooth unconstrained minimization.
Math. Program., 1998

1996
Optimization of dynamical systems.
Kybernetika, 1996

Combined trust region methods for nonlinear least squares.
Kybernetika, 1996

Efficient trust region method for nonlinear least squares.
Kybernetika, 1996

1993
Inexact trust region method for large sparse nonlinear least squares.
Kybernetika, 1993

1992
Computational experience with improved conjugate gradient methods for unconstrained minimization.
Kybernetika, 1992

1990
Computational experience with improved variable metric methods for unconstrained minimization.
Kybernetika, 1990

1986
Conjugate direction algorithms for extended conic functions.
Kybernetika, 1986

A compact variable metric algorithm for nonlinear minimax approximation.
Computing, 1986

1985
A compact variable metric algorithm for linearly constrained nonlinear minimax approximation.
Kybernetika, 1985

Variable metric methods for a class of extended conic functions.
Kybernetika, 1985

An implementation of recursive quadratic programming variable metric methods for linearly constrained nonlinear minimax approximation.
Kybernetika, 1985

1984
Dual method for solving a special problem of quadratic programming as a subproblem at linearly constrained nonlinear minimax approximation.
Kybernetika, 1984

1983
Variable metric methods for linearly constrained nonlinear minimax approximation.
Computing, 1983

1982
Variable metric method with limited storage for large-scale unconstrained minimization.
Kybernetika, 1982

Quasi-Newton methods without projections for linearly constrained minimization.
Kybernetika, 1982

Quasi-Newton methods without projections for unconstrained minimization.
Kybernetika, 1982

New combined method for unconstrained minimization.
Computing, 1982


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