Finite-Difference Time-Domain Method
The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python code examples are available.
The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python code examples are available.
A Python package for simulating the FDTD algorithm. Includes examples and documentation for implementing the FDTD method in various scenarios.
A research paper discussing the implementation of the FDTD algorithm in Python, including code snippets and example use cases.
An online course covering the FDTD method for electromagnetic simulations, including Python code and examples.
A tutorial on implementing the FDTD method in Python, including code examples and explanations of the underlying mathematics.
A conference paper discussing the implementation of the FDTD algorithm in Python, including code examples and performance analysis.
A Python package for simulating the FDTD algorithm, including installation instructions and example use cases.
An online course covering the use of Python for FDTD simulations, including code examples and hands-on exercises.