APPM 5610, Numerical Analysis 2, Spring 2018

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Course Information

Text for APPM 5600/5610

  • K. Atkinson, Introduction to Numerical Analysis, Second Edition (only a few sections will be used for the course) 
    Useful links for this book:
    Chapters 1-5 Chapters 6-9
  • A. Iserles, A First Course in the Numerical Analysis of Differential Equations


Recommended Supplemental Texts:

  • Ake Bjork, Numerical Methods in Matrix Computations, Springer, 2015 , Chapter 3.
  • G. Golub and C. Van Loan, Matrix Computations, Chapters 2-5, 7, 10. (quite terse but has key algorithms)
  • J. Stoer and R. Bulirsch, Introduction to Numerical Analysis (except Chapter 1 and Sections 4A, 7.7, 8.8-8.10)
  • J.C. Butcher, Ordinary Differential Equations, Wiley, 2008.
  • K. W. Morton and D. F. Mayers, Numerical Solution of Partial Differential Equations (finite difference methods)

Syllabus

The Matrix Eigenvalue Problem

  • Theoretical preliminaries
  • Diagonalizable, normal, self-adjoined (Hermitian) matrices
  • Eigenvalue problem
  • Schur's decomposion, Singular Value Decomposition (SVD)
  • Eigenvalue location, error analysis, and stability
  • The power and inverse power methods
  • Householder reflections, Givens rotations, Hessenberg form of a matrix
  • QR Iteration
  • Algorithms for  self-adjoined (Hermitian) tridiagonal matrices

Numerical Methods for Ordinary Differential Equations

  • Existence, uniqueness, and stability theory
  • Euler's method
  • Linear multistep methods
  • Predictor-corrector methods
  • Convergence and stability theory for multistep methods
  • Stiff ODEs
  • Runge-Kutta methods
  • Boundary value problems
  • *** A fast algorithm for (linear) two-point boundary value problem
  • *** An introduction to symplectic integrators

A review: Fourier Integrals, Fourier Series and Fast Fourier Transform (FFT) algorithm

Introduction to Linear PDEs

  • Classification of linear PDE's
  • Inital value and boundary value problems
  • Finite Difference discretization of elliptic PDEs and associated linear algebra problems
  • Algorithms for the Poisson equation
  • Finite Difference discretization of hyperbolic  PDEs
  • Finite Difference discretization of parabolic  PDEs: Crank-Nicolson and ADI methods
  • Stability and convergence: CFL condition, von Neumann stability analysis, Lax equivalence theorem
  • Pseudospectral methods
  • *** A brief introduction to multiresolution methods for the Poisson equation

Introduction to Linear Integral Equations

  • *** Integral equations of the potential theory
  • *** Discretization of integral equations and associated linear algebra problems
  • *** Fast methods for solving integral equations


*** Extra topics to be covered only if time permits.

Lecture Times and Location

InstructorRoom NumberTime
Gregory Beylkin    FLMG 103  MW 3:00 to 4:15

Office Hours

Instructor/TARoom NumberOffice Hours
Gregory BeylkinECOT 323MW 1:00 to 2:00

Homeworks

Homework 1 Due January 31

Homework 2 Due February 7

Homework 3 Due February 14

Homework 4 Due February 21

Homework 5 Due February 28

Homework 6 Due March 14

Homework 7 Due March 21

Homework 8 Due April 11

Homework 9 Due April 18

Homework 10 Due April 25

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