Theory and Practice of Finite Elements
The origins of the finite element method can be traced back to the 1950s when engineers started to solve numerically structural mechanics problems in aeronautics. Since then, the field of applications has widened steadily and nowadays encompasses nonlinear solid mechanics, fluid/structure interactions, flows in industrial or geophysical settings, multicomponent reactive turbulent flows, mass transfer in porous media, viscoelastic flows in medical sciences, electromagnetism, wave scattering problems, and option pricing (to cite a few examples). Numerous commercial and academic codes based on the finite element method have been developed over the years. The method has been so successful to solve Partial Differential Equations (PDEs) that the term "Finite Element Method" nowadays refers not only to the mere interpolation technique it is, but also to a fuzzy set of PDEs and approximation techniques. The efficiency of the finite element method relies on two distinct ingredi ents: the interpolation capability of finite elements (referred to as the approx imability property in this book) and the ability of the user to approximate his model (mostly a set of PDEs) in a proper mathematical setting (thus guar anteeing continuity, stability, and consistency properties). Experience shows that failure to produce an approximate solution with an acceptable accuracy is almost invariably linked to departure from the mathematical foundations. Typical examples include non-physical oscillations, spurious modes, and lock ing effects. In most cases, a remedy can be designed if the mathematical framework is properly set up.
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Approximation in Banach Spaces by Galerkin Methods
Quadratures Assembling and Storage
A Posteriori Error Estimates and Adaptive Meshes
Syllabus 1 1 to 1 5 Chapters 24 5 1 5 4 6 2 Chapters 7 and 9
A Banach and Hilbert Spaces 463
B Functional Analysis
Author Index 513
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a(uh advection algorithm approximate problem approximation space array Assume Banach space barycentric coordinates bilinear form boundary conditions bounded Cauchy–Schwarz inequality coercivity condition number Consider constant continuous embedding convergence Corollary defined Definition degrees of freedom Delaunay triangulation denote derivative dimension Dirichlet conditions Dirichlet problem discrete problem domain edges eigenvalue equation error estimates Example Exercise first-order Galerkin method global shape functions Hence Hilbert space homogeneous Dirichlet hypotheses Im(A implies independent of h inequality inf-sup condition integral interpolation operator introduce iterative Ker(B KeTi Lagrange finite element Lax-Milgram Lemma Lemma Let Q linear system mesh method nodes norm notation Owing PDEs polynomials Proof Proposition Prove quadrature Remark result satisfies Seek uh solve sparse matrix stability Stokes problem surjective symmetric technique Theorem triangle triangle inequality velocity weak formulation well-posed wh)L yields