Marat S. Mukhametzhanov

According to our database, Marat S. Mukhametzhanov authored at least 20 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Advantages of the usage of the Infinity Computer for reducing the Zeno behavior in hybrid system models.

Alberto Falcone, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev

Soft Comput., June, 2023

2022

A Generator of Multiextremal Test Classes With Known Solutions for Black-Box-Constrained Global Optimization.

Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov

IEEE Trans. Evol. Comput., 2022

High Precision Differentiation Techniques for Data-Driven Solution of Nonlinear PDEs by Physics-Informed Neural Networks.

Marat S. Mukhametzhanov

CoRR, 2022

Simulation of hybrid systems under Zeno behavior using numerical infinitesimals.

Alberto Falcone, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev

Commun. Nonlinear Sci. Numer. Simul., 2022

2021

On the search of the shape parameter in radial basis functions using univariate global optimization methods.

Roberto Cavoretto, Alessandra De Rossi, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev

J. Glob. Optim., 2021

Novel local tuning techniques for speeding up one-dimensional algorithms in expensive global optimization using Lipschitz derivatives.

Yaroslav D. Sergeyev, Maria Chiara Nasso, Marat S. Mukhametzhanov, Dmitri E. Kvasov

J. Comput. Appl. Math., 2021

Computation of higher order Lie derivatives on the Infinity Computer.

Felice Iavernaro, Francesca Mazzia, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev

J. Comput. Appl. Math., 2021

A Simulink-based software solution using the Infinity Computer methodology for higher order differentiation.

Alberto Falcone, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev

Appl. Math. Comput., 2021

2020

Representation of grossone-based arithmetic in simulink for scientific computing.

Alberto Falcone, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev

Soft Comput., 2020

2019

On Acceleration of Derivative-Free Univariate Lipschitz Global Optimization Methods.

Dmitri E. Kvasov, Marat S. Mukhametzhanov, Maria Chiara Nasso, Yaroslav D. Sergeyev

Proceedings of the Numerical Computations: Theory and Algorithms, 2019

A Simulink-Based Infinity Computer Simulator and Some Applications.

Alberto Falcone, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev

Proceedings of the Numerical Computations: Theory and Algorithms, 2019

2018

On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales.

Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov

Commun. Nonlinear Sci. Numer. Simul., 2018

Metaheuristic vs. deterministic global optimization algorithms: The univariate case.

Dmitri E. Kvasov, Marat S. Mukhametzhanov

Appl. Math. Comput., 2018

Numerical infinitesimals in a variable metric method for convex nonsmooth optimization.

Manlio Gaudioso, Giovanni Giallombardo, Marat S. Mukhametzhanov

Appl. Math. Comput., 2018

2017

Operational zones for comparing metaheuristic and deterministic one-dimensional global optimization algorithms.

Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov

Math. Comput. Simul., 2017

A generalized Taylor method of order three for the solution of initial value problems in standard and infinity floating-point arithmetic.

Pierluigi Amodio, Felice Iavernaro, Francesca Mazzia, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev

Math. Comput. Simul., 2017

Emmental-Type GKLS-Based Multiextremal Smooth Test Problems with Non-linear Constraints.

Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov

Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017

2016

Derivative-Free Local Tuning and Local Improvement Techniques Embedded in the Univariate Global Optimization.

Yaroslav D. Sergeyev, Marat S. Mukhametzhanov, Dmitri E. Kvasov, Daniela Lera

J. Optim. Theory Appl., 2016

Numerical Methods for Solving Initial Value Problems on the Infinity Computer.

Yaroslav D. Sergeyev, Marat S. Mukhametzhanov, Francesca Mazzia, Felice Iavernaro, Pierluigi Amodio

Int. J. Unconv. Comput., 2016

On the Least-Squares Fitting of Data by Sinusoids.

Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov

Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016