×

GraFiDi

swMATH ID: 37734
Software Authors: Christophe Besse, Romain Duboscq, Stefan Le Coz
Description: Numerical Simulations on Nonlinear Quantum Graphs with the GraFiDi Library. Nonlinear quantum graphs are metric graphs equipped with a nonlinear Schr{ö}dinger equation. Whereas in the last ten years they have known considerable developments on the theoretical side, their study from the numerical point of view remains in its early stages. The goal of this paper is to present the Grafidi library, a Python library which has been developed with the numerical simulation of nonlinear Schr{ö}dinger equations on graphs in mind. We will show how, with the help of the Grafidi library, one can implement the popular normalized gradient flow and nonlinear conjugate gradient flow methods to compute ground states of a nonlinear quantum graph. We will also simulate the dynamics of the nonlinear Schr{ö}dinger equation with a Crank-Nicolson relaxation scheme and a Strang splitting scheme. Finally, in a series of numerical experiments on various types of graphs, we will compare the outcome of our numerical calculations for ground states with the existing theoretical results, thereby illustrating the versatility and efficiency of our implementations in the framework of the Grafidi library.
Homepage: https://plmlab.math.cnrs.fr/cbesse/grafidi
Source Code:  https://github.com/SegFaultAX/graffiti
Dependencies: Python
Keywords: Analysis of PDEs; arXiv_math.AP; Numerical Analysis; arXiv_math.NA; Pattern Formation and Solitons; arXiv_nlin.PS; Python
Related Software: Python; Matplotlib; NumPy; SciPy; NetworkX
Cited in: 3 Documents

Standard Articles

2 Publications describing the Software, including 1 Publication in zbMATH Year
Numerical simulations on nonlinear quantum graphs with the GraFiDi library. Zbl 07525072
Besse, Christophe; Duboscq, Romain; Le Coz, Stefan
2022
Numerical Simulations on Nonlinear Quantum Graphs with the GraFiDi Library
Christophe Besse, Romain Duboscq, Stefan Le Coz
2021

Citations by Year