The numerical analysis of ordinary differential equations: Runge-Kutta and general linear methods
The numerical analysis of ordinary differential equations: Runge-Kutta and general linear methods
Piecewise-linearized methods for initial-value problems
Applied Mathematics and Computation
Implicit-explicit Runge-Kutta methods for time-dependent partial differential equations
Applied Numerical Mathematics - Special issue on time integration
Exponential Integrators for Large Systems of Differential Equations
SIAM Journal on Scientific Computing
Dynamic properties of the local linearization method for intial-value problems
Applied Mathematics and Computation
The Book of Genesis: Exploring Realistic Neural Models with the General Neural Simulation System
The Book of Genesis: Exploring Realistic Neural Models with the General Neural Simulation System
Numerical simulation of nonlinear dynamical systems driven by commutative noise
Journal of Computational Physics
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A new class of stable methods for solving ordinary differential equations (ODEs) is introduced. This is based on combining the Local Linearization (LL) integrator with other extant discretization methods. For this, an auxiliary ODE is solved to determine a correction term that is added to the LL approximation. In particular, combining the LL method with (explicit) Runge Kutta integrators yields what we call LLRK methods. This permits to improve the order of convergence of the LL method without loss of its stability properties. The performance of the proposed integrators is illustrated through computer simulations.