CASA - 2DE11 - Numerical Mathematics

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    2DE11

    Numerical mathematics

    Studiewijzer

    Doelen, tijdsbesteding,

    leerstof etc.

    Relevant links

    Matlab-website

    OWInfo TU/e

    2DE11 - Numerical mathematics

    Lectures

    This course is taught by: dr.ir. M.J.H. [email protected].

    InstructionThe instruction hours are taught by: dr. Rik [email protected].

    Please note that it is required to hand in reports for all exercises. I

    is not possible to finish this course by doing the written exam only

    The assignments that have to be handed in should be made in

    pairs. There are four assignments that have equal weights, and

    make up 25% of the final grade; the final exam makes up the othe

    75%.To pass the course, you need to score:

    at least 50% of the points for the homework,

    at least 50% of the points for the exam,

    and (as usual) at least 55% in total.

    Matlab

    The assignments form an essential part of the course. Some of the

    exercises require writing computer programs. It is advised to dothe programming in Matlab. TU/e has a nice Matlab-website. The

    parts you should look at are Chapter 1: Basic elements of Matlab

    and Chapter 6: Programming in Matlab.

    Try to do the following exercises from the website:

    Exercises 1.1-1.4, 1.6-1.16, 1.20-1.22, 1.24, 1.28, 1.30

    Exercises 6.1, 6.6, 6.7

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    You can also visit the website of the creators of Matlab to find a lis

    of tutorials. The PDF-file by the University of Dundee offers a nicecompact reference guide.

    Finally, there is also the excellent booklet MATLAB Primerby

    Kermit Sigmon and Timothy A. Davis, Chapman & Hall/CRC,

    London, 2002.

    Contents

    All topics are covered in class. You are encouraged to attend al

    lectures and take notes.

    You can also study the following parts of the book Scientific

    Computing. An Introductory Survey, Second edition, Michael T

    Heath, McGraw-Hill, New York (2002).

    Chapter 1: Scientific computing1.1 Introduction

    1.1.1 Computational problems

    1.1.1 General strategy

    1.2 Approximations in scientific computation1.2.1 Sources of approximation

    1.2.2 Absolute error and relative error

    1.2.3 Data error and computational error

    1.2.4 Truncation error and rounding error

    1.2.6 Sensitivity and conditioning

    1.2.7 Stability and accuracy1.3 Computer arithmetic

    1.3.1 Floating-point numbers

    1.3.2 Normalization

    1.3.3 Properties of floating-point systems1.3.4 Rounding

    1.3.5 Machine precision

    1.3.8 Floating-point arithmetic

    1.3.9 Cancellation

    Chapter 7: Interpolation

    7.1 Interpolation7.3 Polynomial interpolation

    7.3.1 Monomial basis

    7.3.2 Lagrange interpolation

    7.3.5 Interpolating continuous functions

    Chapter 8: Numerical integration and differentiation

    8.6 Numerical differentiation

    8.6.1 Finite difference approximations

    8.7 Richardson extrapolation

    8.3 Numerical quadrature

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    8.3.1 Newton-Cotes quadrature

    8.3.3 Gaussian quadrature

    8.3.5 Composite quadrature

    Chapter 5: Nonlinear equations

    5.1 Nonlinear equations

    5.2 Existence and uniqueness

    5.3 Sensitivity and conditioning

    5.4 Convergence rates and stopping criteria

    5.5 Nonlinear equations in one dimension

    5.5.1 Interval bisection

    5.5.2 Fixed-point iteration

    5.5.3 Newton's method

    Chapter 2: Systems of linear equations

    2.1 Linear systems

    2.2 Existence and uniqueness

    2.3 Sensitivity and conditioning

    2.3.1 Vector norms

    2.3.2 Matrix norms

    2.3.3 Matrix condition number

    2.3.4 Error bounds

    2.3.5 Residual

    2.4 Solving linear systems2.4.1 Problem transformations

    2.4.2 Triangular linear systems

    2.4.3 Elimentary elimination matrices

    2.4.5 Pivoting

    2.4.6 Implementation of Gaussian elimination2.4.7 Complexity of solving linear systems

    Chapter 9: Initial value problems for ordinary differential

    equations

    9.1 Ordinary differential equations

    9.2 Existence, uniqueness and conditioning

    9.3 Numerical solution of ODEs

    9.3.1 Euler's method

    9.3.2 Accuracy and stability

    9.3.3 Implicit methods

    9.3.4 Stiffness

    If you would like to practice exercises from the book, here is a

    recommended selection:

    Chapter 1

    Review questions: 1.1, 1.2, 1.3, 1.4, 1.8, 1.18, 1.19, 1.25

    Exercises: -

    Computer problems: 1.1, 1.4, 1.7, 1.14, 1.17

    Chapter 7

    Review questions: 7.8, 7.15

    Exercises: 7.2, 7.6

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    Computer problems: -

    Chapter 8

    Review questions: 8.12, 8.20, 8.22, 8.27, 8.40

    Exercises: -

    Computer problems: 8.1a

    Chapter 5

    Review questions: 5.2, 5.3, 5.9, 5.12

    Exercises: 5.2, 5.4, 5.6

    Computer problems: 5.2, 5.13, 5.14

    Chapter 2

    Review questions: 2.3, 2.4, 2.5, 2.11, 2.19, 2.22, 2.41, 2.44,

    2.45, 2.48, 2.52, 2.53, 2.55, 2.59

    Exercises: 2.2, 2.13, 2.17, 2.21, 2.26, 2.27Computer problems: 2.3, 2.6, 2.17

    Chapter 9

    Review questions: 9.9, 9.16, 9.19, 9.20, 9.25, 9.37

    Exercises: 9.4

    Computer problems: 9.1a

    Please consult the course description for more information. You

    can also check the general information system from the university,

    OWinfo TU/e.

    Old exams

    During the exams you can use a pocket calculator. You may notuse the lectures notes, books or your notebook. To prepare for the

    exam, please study some old exams:

    25 January 2010 and the answers to the questions

    27 October 2009 and the answers to the questions8 January 2009 and the answers to the questions

    Last updated by Martijn Anthonissen on 14 June 2011

    Centre for Analysis, Scientific Computing and Applications. For questions please refer to the editor.

    This page modified: Tue Jun 14 11:31:03 CEST 2011