Search Results - Nested implicit Runge–Kutta formulas
-
1
Adaptive nested implicit Runge–Kutta formulas of Gauss type
ISSN: 0168-9274, 1873-5460Published: Kidlington Elsevier B.V 01.03.2009Published in Applied numerical mathematics (01.03.2009)“…This paper deals with a special family of implicit Runge–Kutta formulas of orders 2, 4 and 6…”
Get full text
Journal Article Conference Proceeding -
2
Analysis and numerical approximation of singular boundary value problems with the p-Laplacian in fluid mechanics
ISSN: 0377-0427, 1879-1778Published: Elsevier B.V 15.05.2014Published in Journal of computational and applied mathematics (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studies a generalization of the Cahn–Hilliard continuum model for multi-phase fluids where the classical Laplacian has been replaced by a degenerate…”
Get full text
Journal Article -
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
ISSN: 0168-9274, 1873-5460Published: Elsevier B.V 01.01.2020Published 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…”
Get full text
Journal Article -
4
NIRK-based accurate continuous–discrete extended Kalman filters for estimating continuous-time stochastic target tracking models
ISSN: 0377-0427, 1879-1778Published: Elsevier B.V 15.05.2017Published in Journal of computational and applied mathematics (15.05.2017)“…This paper presents three state estimators grounded in the variable-stepsize Gauss- and Lobatto-type Nested Implicit Runge–Kutta (NIRK) formulas of orders…”
Get full text
Journal Article -
5
Embedded symmetric nested implicit Runge–Kutta methods of Gauss and Lobatto types for solving stiff ordinary differential equations and Hamiltonian systems
ISSN: 0965-5425, 1555-6662Published: Moscow Pleiades Publishing 01.06.2015Published in Computational mathematics and mathematical physics (01.06.2015)“…A technique for constructing nested implicit Runge–Kutta methods in the class of mono-implicit formulas of this type is studied…”
Get full text
Journal Article -
6
Nested Implicit Runge–Kutta Pairs of Gauss and Lobatto Types with Local and Global Error Controls for Stiff Ordinary Differential Equations
ISSN: 0965-5425, 1555-6662Published: Moscow Pleiades Publishing 01.07.2020Published in Computational mathematics and mathematical physics (01.07.2020)“…The problem of efficient global error estimation and control is studied in embedded nested implicit Runge…”
Get full text
Journal Article -
7
Accurate state estimation of stiff continuous-time stochastic models in chemical and other engineering
ISSN: 0378-4754, 1872-7166Published: Elsevier B.V 01.12.2017Published in Mathematics and computers in simulation (01.12.2017)“… These methods are grounded in the nested implicit Runge–Kutta formulas of orders 4 and 6. The implemented automatic local and global error control mechanisms raise…”
Get full text
Journal Article -
8
On global error control in nested implicit Runge-Kutta methods of the gauss type
ISSN: 1995-4239, 1995-4247Published: Dordrecht SP MAIK Nauka/Interperiodica 01.07.2011Published 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…”
Get full text
Journal Article -
9
Accurate continuous-discrete extended Kalman filtering for stiff continuous-time stochastic models in chemical engineering
Published: IEEE 01.06.2016Published 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…”
Get full text
Conference Proceeding -
10
On computational robustness of accurate continuous-discrete unscented Kalman filtering for target tracking models
Published: IEEE 01.06.2016Published 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…”
Get full text
Conference Proceeding