Search Results - Nested implicit Runge–Kutta formulas

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  1. 1

    Adaptive nested implicit RungeKutta formulas of Gauss type by Kulikov, G.Yu, Shindin, S.K.

    ISSN: 0168-9274, 1873-5460
    Published: Kidlington Elsevier B.V 01.03.2009
    Published in Applied numerical mathematics (01.03.2009)
    “…This paper deals with a special family of implicit RungeKutta formulas of orders 2, 4 and 6…”
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    Journal Article Conference Proceeding
  2. 2

    Analysis and numerical approximation of singular boundary value problems with the p-Laplacian in fluid mechanics by Kulikov, G.Yu, Lima, P.M., Morgado, M.L.

    ISSN: 0377-0427, 1879-1778
    Published: Elsevier B.V 15.05.2014
    “…This paper studies a generalization of the Cahn–Hilliard continuum model for multi-phase fluids where the classical Laplacian has been replaced by a degenerate…”
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    Journal Article
  3. 3

    NIRK-based Cholesky-factorized square-root accurate continuous-discrete unscented Kalman filters for state estimation in nonlinear continuous-time stochastic models with discrete measurements by Kulikov, G.Yu, Kulikova, M.V.

    ISSN: 0168-9274, 1873-5460
    Published: Elsevier B.V 01.01.2020
    Published in Applied numerical mathematics (01.01.2020)
    “…This paper further advances the idea of accurate Gaussian filtering towards efficient unscented-type Kalman methods for estimating continuous-time nonlinear…”
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    Journal Article
  4. 4

    NIRK-based accurate continuous–discrete extended Kalman filters for estimating continuous-time stochastic target tracking models by Kulikova, M.V., Kulikov, G.Yu

    ISSN: 0377-0427, 1879-1778
    Published: Elsevier B.V 15.05.2017
    “…This paper presents three state estimators grounded in the variable-stepsize Gauss- and Lobatto-type Nested Implicit RungeKutta (NIRK) formulas of orders…”
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    Journal Article
  5. 5

    Embedded symmetric nested implicit RungeKutta methods of Gauss and Lobatto types for solving stiff ordinary differential equations and Hamiltonian systems by Kulikov, G. Yu

    ISSN: 0965-5425, 1555-6662
    Published: Moscow Pleiades Publishing 01.06.2015
    “…A technique for constructing nested implicit RungeKutta methods in the class of mono-implicit formulas of this type is studied…”
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    Journal Article
  6. 6

    Nested Implicit RungeKutta Pairs of Gauss and Lobatto Types with Local and Global Error Controls for Stiff Ordinary Differential Equations by Kulikov, G. Yu

    ISSN: 0965-5425, 1555-6662
    Published: Moscow Pleiades Publishing 01.07.2020
    “…The problem of efficient global error estimation and control is studied in embedded nested implicit Runge…”
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    Journal Article
  7. 7

    Accurate state estimation of stiff continuous-time stochastic models in chemical and other engineering by Kulikov, G.Yu, Kulikova, M.V.

    ISSN: 0378-4754, 1872-7166
    Published: Elsevier B.V 01.12.2017
    Published in Mathematics and computers in simulation (01.12.2017)
    “… These methods are grounded in the nested implicit RungeKutta formulas of orders 4 and 6. The implemented automatic local and global error control mechanisms raise…”
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    Journal Article
  8. 8

    On global error control in nested implicit Runge-Kutta methods of the gauss type by Kulikov, G. Yu, Kuznetsov, E. B., Khrustaleva, E. Yu

    ISSN: 1995-4239, 1995-4247
    Published: Dordrecht SP MAIK Nauka/Interperiodica 01.07.2011
    Published in Numerical analysis and applications (01.07.2011)
    “… Special attention is given to the efficiency of computation, because the implicit extrapolation based on multistage implicit Runge-Kutta schemes may be expensive…”
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    Journal Article
  9. 9

    Accurate continuous-discrete extended Kalman filtering for stiff continuous-time stochastic models in chemical engineering by Kulikov, Gennady Yu, Kulikova, Maria V.

    Published: IEEE 01.06.2016
    Published in 2016 European Control Conference (ECC) (01.06.2016)
    “… These methods are grounded in the Gauss-type nested implicit Runge-Kutta formulas of orders 4 and 6, which are applied for treating moment differential equations (MDEs…”
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    Conference Proceeding
  10. 10

    On computational robustness of accurate continuous-discrete unscented Kalman filtering for target tracking models by Kulikova, Maria V., Kulikov, Gennady Yu

    Published: IEEE 01.06.2016
    Published in 2016 European Control Conference (ECC) (01.06.2016)
    “… Our method is grounded in the Gauss-type nested implicit Runge-Kutta formula of order 6 applied for solving moment differential equations (MDEs…”
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    Conference Proceeding