Computation of a few Lyapunov exponents for continuous and discrete dynamical systems
Applied Numerical Mathematics - Special issue on numerical methods for ordinary differential equations
On the Compuation of Lyapunov Exponents for Continuous Dynamical Systems
SIAM Journal on Numerical Analysis
Piecewise-linearized methods for initial-value problems
Applied Mathematics and Computation
On Krylov Subspace Approximations to the Matrix Exponential Operator
SIAM Journal on Numerical Analysis
Expokit: a software package for computing matrix exponentials
ACM Transactions on Mathematical Software (TOMS)
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
Mathematical Modeling and Digital Simulation for Engineers and Scientists
Mathematical Modeling and Digital Simulation for Engineers and Scientists
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
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In this paper, an alternative method to compute the Lyapunov exponents of dynamical systems described by ordinary differential equations (ODEs) is introduced. The Lyapunov exponents are computed in terms of the solutions of two piecewise linear ODEs that approximate, respectively, the solutions of the original ODE and its associated variational equation. This approach is strongly connected with the local linearization (LL) method for ODEs and its major advantage is that these piecewise linear ODEs might be exactly integrated in a non-simultaneous way. The performance of the method is illustrated with a numerical example.