Výsledky vyhľadávania - "Nested implicit Runge–Kutta formulas"

Adaptive nested implicit Runge–Kutta formulas of Gauss type

Autori: Sergey Shindin G. Yu. Kulikov

Zdroj: Applied Numerical Mathematics. 59:707-722

Predmety: 0101 mathematics, 01 natural sciences

Prístupová URL adresa: https://dl.acm.org/citation.cfm?id=1498003
https://dl.acm.org/doi/10.1016/j.apnum.2008.03.019
https://www.sciencedirect.com/science/article/pii/S0168927408000573
https://www.math.tecnico.ulisboa.pt/~plima/projecto2009a/A5.pdf
http://www.math.ist.utl.pt/~plima/projecto2009a/A5.pdf

Numerical Tests with Gauss-Type Nested Implicit Runge-Kutta Formulas

Autori: Sergey Shindin Gennady Yu. Kulikov

Zdroj: Lecture Notes in Computer Science ISBN: 9783540725831

Prístupová URL adresa: https://link.springer.com/content/pdf/10.1007%2F978-3-540-72584-8_18.pdf
https://link.springer.com/10.1007/978-3-540-72584-8_18
https://dblp.uni-trier.de/db/conf/iccS/iccS2007-1.html#KulikovS07
https://link.springer.com/content/pdf/10.1007%2F978-3-540-72584-8_18.pdf
https://rd.springer.com/chapter/10.1007/978-3-540-72584-8_18
https://link.springer.com/chapter/10.1007%2F978-3-540-72584-8_18

Numerical Tests with Gauss-Type Nested Implicit Runge-Kutta Formulas.

Autori: Hutchison, David Kanade, Takeo Kittler, Josef a ďalší

Zdroj: Computational Science: ICCS 2007; 2007, p136-143, 8p

Analysis and numerical approximation of singular boundary value problems with the -Laplacian in fluid mechanics.

Autori: Kulikov, G.Yu. Lima, P.M. Morgado, M.L.

Zdroj: Journal of Computational & Applied Mathematics. May2014, Vol. 262, p87-104. 18p.

Predmety: *BOUNDARY value problems, *LAPLACIAN matrices, *FLUID mechanics, *NUMERICAL analysis, *ASYMPTOTIC expansions, *NUMERICAL integration

Generalizations of the Stage Order of Runge–Kutta Methods.

Autori: Skvortsov, L. M.

Zdroj: Computational Mathematics & Mathematical Physics; Dec2024, Vol. 64 Issue 12, p2796-2812, 17p

Predmety: DIFFERENTIAL-algebraic equations, COMPUTATIONAL mathematics, ORDINARY differential equations, APPLIED mathematics, PROBLEM solving

Accurate state estimation of stiff continuous-time stochastic models in chemical and other engineering.

Autori: Kulikov, G.Yu. Kulikova, M.V.

Zdroj: Mathematics & Computers in Simulation. Dec2017, Vol. 142, p62-81. 20p.

Predmety: *STOCHASTIC models, *KALMAN filtering, *RUNGE-Kutta formulas, *DISCRETIZATION methods, *CHEMICAL engineering

Estimating the Domain of Absolute Stability of a Numerical Scheme Based on the Method of Solution Continuation with Respect to a Parameter for Solving Stiff Initial Value Problems.

Autori: Kuznetsov, E. B. Leonov, S. S. Tsapko, E. D.

Zdroj: Computational Mathematics & Mathematical Physics; Apr2023, Vol. 63 Issue 4, p528-541, 14p

Predmety: INITIAL value problems, CARLEMAN theorem, CONTINUATION methods

Nested Second Derivative Two-Step Runge–Kutta Methods.

Autori: Olatunji, P. O. Ikhile, M. N. O. Okuonghae, R. I.

Zdroj: International Journal of Applied & Computational Mathematics; Dec2021, Vol. 7 Issue 6, p1-39, 39p

Square‐rooting approaches to accurate mixed‐type continuous‐discrete extended and fifth‐degree cubature Kalman filters.

Autori: Kulikova, Maria V. Kulikov, Gennady Yu.

Zdroj: IET Radar, Sonar & Navigation (Wiley-Blackwell); Nov2020, Vol. 14 Issue 11, p1671-1680, 10p

Testing a New Conservative Method for Solving the Cauchy Problem for Hamiltonian Systems on Test Problems.

Autori: Aleksandrov, P. A. Elenin, G. G.

Zdroj: Computational Mathematics & Mathematical Physics; Sep2020, Vol. 60 Issue 9, p1422-1444, 23p

Predmety: KEPLER problem, TEST systems, RUNGE-Kutta formulas, ENERGY conservation, CAUCHY problem, PROBLEM solving, HAMILTONIAN systems

Nested Implicit Runge–Kutta Pairs of Gauss and Lobatto Types with Local and Global Error Controls for Stiff Ordinary Differential Equations.

Autori: Kulikov, G. Yu.

Zdroj: Computational Mathematics & Mathematical Physics; Jul2020, Vol. 60 Issue 7, p1134-1154, 21p

Predmety: APPLIED mathematics, COMPUTATIONAL mathematics, NUMERICAL integration, ORDINARY differential equations, DESIGN techniques

Numerical robustness of extended Kalman filtering based state estimation in ill‐conditioned continuous‐discrete nonlinear stochastic chemical systems.

Autori: Kulikov, G. Yu. Kulikova, M. V.

Zdroj: International Journal of Robust & Nonlinear Control; 3/25/2019, Vol. 29 Issue 5, p1377-1395, 19p

Predmety: ROBUST control, KALMAN filtering, OBSERVABILITY (Control theory), CHEMICAL systems, ROUNDING errors, STOCHASTIC systems

Numerical Approximation of Stiff Problems Using Efficient Nested Implicit Runge-Kutta Methods.

Autori: Ur-Rehman, Attique Ur Rehman, Shafiq Ahmad, Junaid

Zdroj: Punjab University Journal of Mathematics; 2019, Vol. 51 Issue 2, p1-19, 19p

Predmety: APPROXIMATION theory, STIFF equations (Differential equations), IMPLICIT functions, RUNGE-Kutta formulas, GAUSS error function, ORDINARY differential equations

Moore‐Penrose‐pseudo‐inverse‐based Kalman‐like filtering methods for estimation of stiff continuous‐discrete stochastic systems with ill‐conditioned measurements.

Autori: Kulikov, Gennady Yu. Kulikova, Maria V.

Zdroj: IET Control Theory & Applications (Wiley-Blackwell); Nov2018, Vol. 12 Issue 17, p2205-2212, 8p

Practical implementation of extended Kalman filtering in chemical systems with sparse measurements.

Autori: Kulikov, Gennady Yu. Kulikova, Maria V.

Zdroj: Russian Journal of Numerical Analysis & Mathematical Modelling; 2018, Vol. 33 Issue 1, p41-53, 13p

Predmety: ALGORITHMIC randomness, RECURSION theory, ALGORITHMS, MACHINE translating, MACHINE theory

Accurate continuous-discrete extended Kalman filtering for stiff continuous-time stochastic models in chemical engineering

Autori: Maria V. Kulikova Gennady Yu. Kulikov

Zdroj: 2016 European Control Conference (ECC). :1728-1733

Predmety: 0209 industrial biotechnology, 02 engineering and technology, 14. Life underwater

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/eucc/eucc2016.html#KulikovK16
https://ieeexplore.ieee.org/document/7810540/
http://ieeexplore.ieee.org/document/7810540/
https://doi.org/10.1109/ECC.2016.7810540

NIRK-based accurate continuous–discrete extended Kalman filters for estimating continuous-time stochastic target tracking models.

Autori: Kulikova, M.V. Kulikov, G.Yu.

Zdroj: Journal of Computational & Applied Mathematics. May2017, Vol. 316, p260-270. 11p.

Predmety: *KALMAN filtering, *STOCHASTIC analysis, *AUTOMATIC tracking, *DIFFERENTIAL equations, *NUMERICAL analysis

A mixed-type accurate continuous-discrete extended-unscented kalman filter for target tracking.

Autori: Kulikova, Maria V. Kulikov, Gennady Yu.

Zdroj: 2015 European Control Conference (ECC); 2015, p2824-2829, 6p

Accurate State Estimation in Continuous-Discrete Stochastic State-Space Systems With Nonlinear or Nondifferentiable Observations.

Autori: Kulikov, Gennady Yu. Kulikova, Maria V.

Zdroj: IEEE Transactions on Automatic Control; Aug2017, Vol. 62 Issue 8, p4243-4250, 8p

Predmety: OBSERVABILITY (Control theory), STOCHASTIC analysis, STATE-space methods, NONDIFFERENTIABLE functions, KALMAN filtering, ERROR correction (Information theory)

The accurate continuous-discrete extended Kalman filter for continuous-time stochastic systems.

Autori: Kulikov, Gennady Yu. Kulikova, Maria V.

Zdroj: Russian Journal of Numerical Analysis & Mathematical Modelling; Aug2015, Vol. 30 Issue 4, p239-249, 11p

Predmety: CONTINUOUS functions, DISCRETE systems, KALMAN filtering, CONTINUOUS time systems, STOCHASTIC analysis