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FINITE ELEMENT ANALYSIS - Joseph E_ Flaherty
Lecture Notes_ Spring ____
Joseph E_ Flaherty
Amos Eaton Professor
Department of Computer Science
Department of Mathematical Sciences
Rensselaer Polytechnic Institute
Troy_ New York _____
_c _____ Joseph E_ Flaherty_ all rights reserved_ These notes are intended for classroom
use by Rensselaer students taking courses CSCI_ MATH _____ Copying or downloading
by others for personal use is acceptable with noti_cation of the author_
ii
CSCI_ MATH _____ Finite Element Analysis
Spring ____
Outline
__ Introduction
____ Historical Perspective
____ Weighted Residual Methods
__ _ A Simple Finite Element Problem
__ OneDimensional Finite Element Methods
____ Introduction
____ Galerkin_s Method and Extremal Principles
__ _ Essential and Natural Boundary Conditions
____ Piecewise Lagrange Approximation
___ Hierarchical Bases
____ Interpolation Errors
_ MultiDimensional Variational Principles
___ Galerkin_s Method and Extremal Principles
___ Function Spaces and Approximation
_ _ Overview of the Finite Element Method
__ Finite Element Approximation
____ Introduction
____ Lagrange Bases on Triangles
__ _ Lagrange Bases on Rectangles
____ Hierarchical Bases
___ Threedimensional Bases
____ Interpolation Errors
_ Mesh Generation and Assembly
___ Introduction
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___ Mesh Generation
_ _ Data Structures
___ Coordinate Transformations
__ Generation of Element Matrices and Their Assembly
___ Assembly of Vector Systems
__ Numerical Integration
____ Introduction
____ OneDimensional Gaussian Quadrature
__ _ MultiDimensional Gaussian Quadrature
__ Discretization Errors
____ Introduction
____ Convergence and Optimality
__ _ Perturbations
__ Adaptivity
____ Introduction
____ hRe_nement
__ _ p and hpRe_nement
__ Parabolic Problems
____ Introduction
____ SemiDiscrete Galerkin Methods_ The Method of Lines
__ _ Finite Element Methods in Time
____ Convergence and Stability
___ ConvectionDi_usion Systems
___ Hyperbolic Problems
_____ Introduction
_____ Flow Problems and Upwind Weighting
___ _ Arti_cial Di_usion
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_____ Streamline Weighting
___ Linear Systems Solution
_____ Introduction
_____ Banded Gaussian Elimination and Pro_le Techniques
___ _ Nested Dissection and Domain Decomposition
_____ Conjugate Gradient Methods
____ Nonlinear Problems and Newton_s Method
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