Marat S. Mukhametzhanov

21 papers Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2023 J jnl
Advantages of the usage of the Infinity Computer for reducing the Zeno behavior in hybrid system models.
Soft Comput.
Alberto Falcone, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev
2022 J jnl
A Generator of Multiextremal Test Classes With Known Solutions for Black-Box-Constrained Global Optimization.
IEEE Trans. Evol. Comput.
Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov
2022 J jnl
High Precision Differentiation Techniques for Data-Driven Solution of Nonlinear PDEs by Physics-Informed Neural Networks.
CoRR
Marat S. Mukhametzhanov
2022 J jnl
Simulation of hybrid systems under Zeno behavior using numerical infinitesimals.
Commun. Nonlinear Sci. Numer. Simul.
Alberto Falcone, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev
2021 J jnl
A Simulink-based software solution using the Infinity Computer methodology for higher order differentiation.
Appl. Math. Comput.
Alberto Falcone, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev
2021 J jnl
Computation of higher order Lie derivatives on the Infinity Computer.
J. Comput. Appl. Math.
Felice Iavernaro, Francesca Mazzia, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev
2021 J jnl
Novel local tuning techniques for speeding up one-dimensional algorithms in expensive global optimization using Lipschitz derivatives.
J. Comput. Appl. Math.
Yaroslav D. Sergeyev, Maria Chiara Nasso, Marat S. Mukhametzhanov, Dmitri E. Kvasov
2021 J jnl
On the search of the shape parameter in radial basis functions using univariate global optimization methods.
J. Glob. Optim.
Roberto Cavoretto, Alessandra De Rossi, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev
2020 J jnl
Representation of grossone-based arithmetic in simulink for scientific computing.
Soft Comput.
Alberto Falcone, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev
2019 — conf
A Simulink-Based Infinity Computer Simulator and Some Applications.
NUMTA (2)
Alberto Falcone, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev
2019 — conf
On Acceleration of Derivative-Free Univariate Lipschitz Global Optimization Methods.
NUMTA (2)
Dmitri E. Kvasov, Marat S. Mukhametzhanov, Maria Chiara Nasso, Yaroslav D. Sergeyev
2018 J jnl
Metaheuristic vs. deterministic global optimization algorithms: The univariate case.
Appl. Math. Comput.
Dmitri E. Kvasov, Marat S. Mukhametzhanov
2018 J jnl
Numerical infinitesimals in a variable metric method for convex nonsmooth optimization.
Appl. Math. Comput.
Manlio Gaudioso, Giovanni Giallombardo, Marat S. Mukhametzhanov
2018 J jnl
On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales.
Commun. Nonlinear Sci. Numer. Simul.
Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov
2018 J jnl
On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales.
CoRR
Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov
2017 J jnl
A generalized Taylor method of order three for the solution of initial value problems in standard and infinity floating-point arithmetic.
Math. Comput. Simul.
Pierluigi Amodio, Felice Iavernaro, Francesca Mazzia, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev
2017 — conf
Emmental-Type GKLS-Based Multiextremal Smooth Test Problems with Non-linear Constraints.
LION
Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov
2017 J jnl
Operational zones for comparing metaheuristic and deterministic one-dimensional global optimization algorithms.
Math. Comput. Simul.
Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov
2016 J jnl
Derivative-Free Local Tuning and Local Improvement Techniques Embedded in the Univariate Global Optimization.
J. Optim. Theory Appl.
Yaroslav D. Sergeyev, Marat S. Mukhametzhanov, Dmitri E. Kvasov, Daniela Lera
2016 J jnl
Numerical Methods for Solving Initial Value Problems on the Infinity Computer.
Int. J. Unconv. Comput.
Yaroslav D. Sergeyev, Marat S. Mukhametzhanov, Francesca Mazzia, Felice Iavernaro, Pierluigi Amodio
2016 — ch.
On the Least-Squares Fitting of Data by Sinusoids.
Advances in Stochastic and Deterministic Global Optimization
Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov