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Implicit-explicit (IMEX) time stepping methods can efficiently solve differential equa- tions with both stiff and nonstiff components. IMEX Runge-Kutta methods and IMEX linear multistep methods have been studied in the literature. In this…

Numerical Analysis · Mathematics 2013-03-26 Hong Zhang , Adrian Sandu

We compare exponential-type integrators for the numerical time-propagation of the equations of motion arising in the multi-configuration time-dependent Hartree-Fock method for the approximation of the high-dimensional multi-particle…

Numerical Analysis · Mathematics 2019-05-15 Winfried Auzinger , Alexander Grosz , Harald Hofstätter , Othmar Koch

Multiderivative time integrators have a long history of development for ordinary differential equations, and yet to date, only a small subset of these methods have been explored as a tool for solving partial differential equations (PDEs).…

Numerical Analysis · Mathematics 2013-10-01 David C. Seal , Yaman Güçlü , Andrew J. Christlieb

We propose a family of integrators, Flow-Composed Implicit Runge-Kutta (FCIRK) methods, for perturbations of nonlinear ordinary differential equations, consisting of the composition of flows of the unperturbed part alternated with one step…

Numerical Analysis · Mathematics 2017-11-17 Mikel Antoñana , Joseba Makazaga , Ander Murua

We propose a high order adaptive-rank implicit integrators for stiff time-dependent PDEs, leveraging extended Krylov subspaces to efficiently and adaptively populate low-rank solution bases. This allows for the accurate representation of…

Numerical Analysis · Mathematics 2024-04-05 Hamad El Kahza , William Taitano , Jing-Mei Qiu , Luis Chacón

We consider a Runge--Kutta method for the numerical time integration of the nonstationary incompressible Navier--Stokes equations. This yields a sequence of nonlinear problems to be solved for the stages of the Runge--Kutta method. The…

Numerical Analysis · Mathematics 2025-06-06 Santolo Leveque , Yunhui He , Maxim Olshanskii

The Newton, Gauss--Newton and Levenberg--Marquardt methods all use the first derivative of a vector function (the Jacobian) to minimise its sum of squares. When the Jacobian matrix is ill-conditioned, the function varies much faster in some…

Numerical Analysis · Mathematics 2025-08-01 S. J. Brooks

The existing discrete variational derivative method is only second-order accurate and fully implicit. In this paper, we propose a framework to construct an arbitrary high-order implicit (original) energy stable scheme and a second-order…

Numerical Analysis · Mathematics 2022-10-24 Jizu Huang

A high-order Newton multigrid method is proposed for steady-state shallow water flows in open channels with regular and irregular geometries. The method integrates a finite volume discretization with third-order weighted essentially…

Numerical Analysis · Mathematics 2026-05-29 Zhicheng Hu , Guanghan Li , Chunwu Wang , Xiaowen Wang

When evolving in time the solution of a hyperbolic partial differential equation, it is often desirable to use high order strong stability preserving (SSP) time discretizations. These time discretizations preserve the monotonicity…

Numerical Analysis · Mathematics 2017-08-02 Sidafa Conde , Sigal Gottlieb , Zachary J. Grant , John N. Shadid

This letter presents a method to reduce the computational demands of including second-order dynamics sensitivity information into the Differential Dynamic Programming (DDP) trajectory optimization algorithm. An approach to DDP is developed…

Robotics · Computer Science 2022-07-01 John N. Nganga , Patrick M. Wensing

The objective of this paper is to prove the convergence of a linear implicit multi-step numerical method for ordinary differential equations. The algorithm is obtained via Taylor approximations. The convergence is proved following the…

Chaotic Dynamics · Physics 2011-03-08 Marius-F. Danca

Implicit numerical integration of nonlinear ODEs requires solving a system of nonlinear algebraic equations at each time step. Each of these systems is often solved by a Newton-like method, which incurs a sequence of linear-system solves.…

Numerical Analysis · Mathematics 2014-10-24 Kevin Carlberg , Jaideep Ray , Bart van Bloemen Waanders

Explicit Runge--Kutta (RK) methods are susceptible to a reduction in the observed order of convergence when applied to initial-boundary value problem with time-dependent boundary conditions. We study conditions on explicit RK methods that…

Numerical Analysis · Mathematics 2026-02-11 Abhijit Biswas , David I. Ketcheson , Steven Roberts , Benjamin Seibold , David Shirokoff

This paper is concerned with the development and testing of advanced time-stepping methods suited for the integration of time-accurate, real-world applications of computational fluid dynamics (CFD). The performance of several time…

Computational Engineering, Finance, and Science · Computer Science 2017-10-03 Arash Sarshar , Paul Tranquilli , Brent Pickering , Andrew McCall , Adrian Sandu , Christopher J. Roy

The structural flexibility of the exponential propagation iterative methods of Runge-Kutta type (EPIRK) enables construction of particularly efficient exponential time integrators. While the EPIRK methods have been shown to perform well on…

Numerical Analysis · Mathematics 2016-08-03 Greg Rainwater , Mayya Tokman

In this note, we present an eighth-order derivative-free family of iterative methods for nonlinear equations. The proposed family shows optimal eight-order of convergence in the sense of the Kung and Traub conjecture \cite{5} and is based…

Numerical Analysis · Mathematics 2013-08-12 Laila M Assas , Fayyaz Ahmad , Malik Zaka Ullah

An additive Runge-Kutta method is used for the time stepping, which integrates the linear stiff terms by an explicit singly diagonally implicit Runge-Kutta (ESDIRK) method and the nonlinear terms by an explicit Runge-Kutta (ERK) method. In…

Numerical Analysis · Mathematics 2024-05-08 Ke Chen , Daniel Appelö , Tracy Babb , Per-Gunnar Martinsson

Splitting-based time integration approaches such as fractional steps, alternating direction implicit, operator splitting, and locally one-dimensional methods partition the system of interest into components and solve individual components…

A popular version of the finite strain Maxwell fluid is considered, which is based on the multiplicative decomposition of the deformation gradient tensor. The model combines Newtonian viscosity with hyperelasticity of Mooney-Rivlin type; it…

Numerical Analysis · Mathematics 2021-03-15 A. V. Shutov
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