Vlasta Malkova
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Vlasta Malkova has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Yuri G. Evtushenko
Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Moscow, Russia
10 shared publications - Alexey A. Tret’yAkov
Faculty of Exact and Natural Sciences, University of Siedlce , 3-go Maja 54, Siedlce 08-110
7 shared publications - Olga Brezhneva
Department of Mathematics, Miami University, Oxford, OH 45056, USA
3 shared publications A. A. Stanevichyus
Russian Academy of Sciences
1 shared publication- A. A. Stanevichyus
Russian Academy of Sciences
1 shared publication Alexey Tret’yAkov
Dorodnicyn Computing Centre, FRC CSC RAS
1 shared publication
Latest Publications
- 1 April 2026
- Published by Springer Nature
- p. 3-17
A p-Factor Interpolation Polynomial for Trust-Region Frameworks Near Degenerate Solutions
- 1 April 2026
- Published by Springer Nature
- p. 3-17
A p-Factor Interpolation Polynomial for Trust-Region Frameworks Near Degenerate Solutions
- 31 January 2025
- Published by Springer Nature
- p. 31-42
Singular Optimization Problems and p-Factor Approach for Their Analysis
- 31 January 2025
- Published by Springer Nature
- p. 31-42
Singular Optimization Problems and p-Factor Approach for Their Analysis
- 10 November 2023
- Published by Springer Nature
- p. 14-32
The pth-Order Karush-Kuhn-Tucker Type Optimality Conditions for Nonregular Inequality Constrained Optimization Problems
- 10 November 2023
- Published by Springer Nature
- p. 14-32
The pth-Order Karush-Kuhn-Tucker Type Optimality Conditions for Nonregular Inequality Constrained Optimization Problems
- 1 January 2022
- Published by Springer Nature
- p. 18-33
Degenerate Equality Constrained Optimization Problems and P-Regularity Theory
- 1 January 2022
- Published by Springer Nature
- p. 18-33
Degenerate Equality Constrained Optimization Problems and P-Regularity Theory
- 5 November 2021
- Published by Springer Nature
- p. 3-19
Exit from Singularity. New Optimization Methods and the p-Regularity Theory Applications
- 5 November 2021
- Published by Springer Nature
- p. 3-19
Exit from Singularity. New Optimization Methods and the p-Regularity Theory Applications
- 4 November 2020
- Published by Springer Nature
- p. 97-109
P-Regularity Theory: Applications to Optimization
- 4 November 2020
- Published by Springer Nature
- p. 97-109
P-Regularity Theory: Applications to Optimization
- 8 January 2020
- Published by Springer Nature
- p. 237-253
P-Regularity Theory and Nonlinear Optimization Problems
- 8 January 2020
- Published by Springer Nature
- p. 237-253
P-Regularity Theory and Nonlinear Optimization Problems
- 1 January 2020
- Published by Springer Nature
- p. 198-208
Effectiveness of Nash Equilibrium Search Algorithms in Four-Person Games in General and Multi-matrix Settings
- 1 January 2020
- Published by Springer Nature
- p. 198-208
Effectiveness of Nash Equilibrium Search Algorithms in Four-Person Games in General and Multi-matrix Settings
- 10 January 2019
- Published by Springer Nature
- p. 3-20
New Perspective on Slack Variables Applications to Singular Optimization Problems
- 10 January 2019
- Published by Springer Nature
- p. 3-20
New Perspective on Slack Variables Applications to Singular Optimization Problems
- 1 February 2009
- Published by Pleiades Publishing Ltd in Computational Mathematics and Mathematical Physics
- Vol. 49 (2) , 246-260
Parallel global optimization of functions of several variables
On the basis of the method of nonuniform coverings, a parallel method for the global optimization of Lipschitzian functions is developed. This method is implemented in C-MPI for the global minimization of functions whose gradient satisfies the Lipschitz condition. The performance of the algorithm is demonstrated using the calculation of the structure of a protein molecule as an example.
- 1 February 2009
- Published by Pleiades Publishing Ltd in Computational Mathematics and Mathematical Physics
- Vol. 49 (2) , 246-260
Parallel global optimization of functions of several variables
On the basis of the method of nonuniform coverings, a parallel method for the global optimization of Lipschitzian functions is developed. This method is implemented in C-MPI for the global minimization of functions whose gradient satisfies the Lipschitz condition. The performance of the algorithm is demonstrated using the calculation of the structure of a protein molecule as an example.