FDM (Finite Difference Method) and FEM (Finite Element Method) are both numerical techniques for solving partial differential equations (PDEs), but they have different strengths and limitations. FDM is generally more suitable for simple, rectangular domains, while FEM excels in handling complex geometries and irregular integration domains. There is no universal FDM scheme that can solve all types of PDEs, as specific methods are tailored to particular equations and conditions, similar to FEM. The discussion highlights the importance of choosing the appropriate method based on the problem's characteristics, with FDM being less effective for unusually shaped boundaries. Resources and references for further exploration of these methods are provided, emphasizing practical applications in programming languages like Python.