Читать книгу An Introduction to the Finite Element Method for Differential Equations - Mohammad Asadzadeh - Страница 9

This book is an introduction to finite element methods (FEMs) used in the numerical solution of differential equations based on the piecewise polynomial approximations of the solutions. The presented material is accessible for upper undergraduates and starting graduate students in natural science and engineering. We mention three books for further and deeper study of FEM for differential equations.

Brenner, S.C. and Scott, L.R. The Mathematical Theory of Finite Element Methods. Springer, ed 3, 2017.

Ern, A. and Guermond, J.‐L. Theory and Practice of Finite Elements. Springer, 2004.

Larsson, S. and Thomée, V. Partial Differential Equations with Numerical Methods. Springer, 2003.

The material is presented in three main theme.

(I) Basic theory: Chapters 1 and 2, contains introduction (and in some extend derivation) of basic ordinary and partial differential equations, their classifications, well‐posedness (as the proof of Reisz and Lax–Milgram Theorems) and formulation of the corresponding initial‐ and initial‐boundary value problems. The concept of fundamental solutions using Green's functions approaches are discussed and necessary mathematical tools and environment are introduced in some details.

(II) One‐space dimensional problems: Chapters 3–7 concern the polynomial approximations, polynomial interpolation, quadrature rules (numerical integration), iterative numerical methods to solve linear system of equations and finite element procedure for the one‐space dimensional boundary value problems (BVPs), initial value problems (IVPs), and initial boundary value problems (IBVPs).

(III) Problems in higher () dimensional cases. This part is the matter of Chapters 8–10 and is devoted to the generalization/extension of the results of Part II to higher dimensions. The proofs in higher dimensions do not, in general, require any additional ideas. More specifically, we have introduced the higher‐dimensional interpolation procedure and study the stability and convergence aspects of certain finite element approximation for, higher‐dimensional, Poisson, heat, wave, and convection–diffusion equations. The convergence analysis are given both in the “a priori” (exact solution dependent) and “a posteriori” (computed solution/residual dependent) settings.

Whole or selected parts of the book is suitable as course material and for particular purposes. As outlined in table below, I have used some minor parts of Chapters 1 and 2 and the whole Chapters 3, and 5–7, together with a theory and a computer assignment, for a 7.5 credit points for undergraduates at Chalmers University of Technology. The whole book: Chapters 1–3 (a less pronounced cover of Chapters 5–7) together with Chapters 8–10 has been the course material for upper undergraduates and some graduates at Chalmers for more than two decades (since 1995). This part is associated with two, somewhat involved, theory and computer assignments and generates the same credit points 7.5, for a somewhat higher‐level audience. There is a, 5 credit points, intensive course on Chapters 2–3 and 8–10 for some graduates. (According to Bologna unifying system now a full‐time semester should correspond to 30 credit points.) Here, the first combination is accessible for the students with basic knowledge of calculus of single‐ and several‐variables, linear algebra and some Fourier analysis. The extended combination requires more of mathematical tools (in Chapter 2) and can be of interest for beginning graduates in applied math and engineering disciplines.

To conclude, the theory combined with approximation techniques and computer projects can give a better understanding of this useful tool (FEM) to solve differential equations. Finally, there are some easily implementable Matlab codes presented at the end of the book that are useful for freshmen in finite elements to test and check the theory through implementations.

Suggestions for possible course syllabus (what I have had)

Chapters/Sections	1 Semester	7–8 wk	Credits
1.1–1.4, 2.5, 2.6, 3, 5–7	3 h/wk	6 h/wk	5
1.1–1.4, 2.5, 2.6, 3, 5–10	4 h/wk	8 h/wk	7
except 9.2, 9.3, 10.2.3–10.2.4, 10.5.4–10.5.6
Whole material (includes Chapter 4)	6 h/wk	10a)/wk	10

^a) An intensive course for graduates in applied math/engineering.

All above configurations are associated with home and computer assignments. Examples of some assignments are given in Appendix C.