Mikhail Posypkin

Head of The Department
Applied Optimization
Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
E-mail: mposypkin@gmail.com
Page: http://www.researchgate.net/profile/Mikhail_Posypkin

Fields of interest:

Optimization theory and applications, parallel and distributed computing.

Recent publications:

  1. Evtushenko, Y., Posypkin, M., Rybak, L., & Turkin, A. (2017). Approximating a solution set of nonlinear inequalities. Journal of Global Optimization, 1-17.
  2. Khrapov, N., Roizen, V., Posypkin, M., Samtsevich, A., Oganov, A. R. (2017). Volunteer computing for computational materials design. Lobachevskii Journal of Mathematics, 38(5), 926-930.
  3. Kolpakov, R. M., Posypkin, M. A. E., Sin, S. T. T. (2017). Complexity of solving the Subset Sum problem with the branch-and-bound method with domination and cardinality filtering. Automation and Remote Control, 78(3), 463-474.
  4. Golubeva, Y., Orlov, Y., & Posypkin, M. (2016). A tool for simulating parallel branch-and-bound methods. Open Engineering, 6(1).
  5. Evtushenko, Y. G., Lurie, S. A., Posypkin, M. A. E., Solyaev, Y. O. (2016). Application of optimization methods for finding equilibrium states of two-dimensional crystals. Computational Mathematics and Mathematical Physics, 56(12), 2001-2010.
  6. Evtushenko, Y.,  Posypkin, M. (2013). A deterministic approach to global box-constrained optimization. Optimization Letters, 7(4), 819-829.