1 / 37

IC3003 Basic Scientific Computing

IC3003 Basic Scientific Computing. Lecture 1 Monday 08:30-11:30 U204a. Course Outline. Assessment Weighting 30% Test – (30 Multiple Choice in 45 mins) 40% Assignment (8 Exercises) 30% Log sheet (Workshop Report) including performance Lecture Notes & Reference Web site

aletha
Download Presentation

IC3003 Basic Scientific Computing

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. IC3003Basic Scientific Computing Lecture 1 Monday 08:30-11:30 U204a

  2. Course Outline • Assessment Weighting • 30%Test – (30 Multiple Choice in 45 mins) • 40% Assignment (8 Exercises) • 30% Log sheet (Workshop Report) including performance • Lecture Notes & Reference Web site • http://edc.ic.polyu.edu.hk • http://www.ic.polyu.edu.hk • http://www.mathworks.com • Using POLYU webmail to submit assignments

  3. Outcome – base Learning • After completed the course, the students should be able to • Understand the MATLAB can solve mathematical & Scientific problem • Analyze the data by using 2D and 3D visualization plots to enhance graphic presentation • Import and export data with other application • Use M-file programming to construct user defined math functions • Construct programs with flow control functions • Construct graphic user interface

  4. Lecture 1 Introduction

  5. Introduction • MATLAB stands for Matrix Laboratory • Basic Scientific Calculation (Linear Algebra, Matrix ) • Applied Pure Mathematics (Calculus, Partial Fraction) • 2D Plotting • 3D Visualization • Curve Fitting • File Input / Output • Graphic User Interface, etc……

  6. Introduction • MATLAB software version - MATLAB R2008a • The software icon in desktop • If you use previous version, it cannot open the file • Another method: • Use Notepad to save all file in the M-File format (XXX.m) • It cannot run in the Notepad, you just check the solution in MATLAB

  7. Introduction • MATLAB software interface Current Directory / Workspace Command Window Command History

  8. Introduction • Current Directory / Workspace Files in Current Directory

  9. Introduction • Current Directory / Workspace Store the variables The data is not saved after you exit MATLAB. All data can be saved by : Selecting “save Workspace As” from the File menu Using save function – This is used for saving all data to MAT-File

  10. Introduction • Command History Display all previous command Double click the commands in command history window will also re-activate that command

  11. Introduction • Command Window Show the result

  12. Introduction • Command Window Type the command Show the result MATLAB inserts a blank line to separate command lines. You can eliminate it by using format compact

  13. Introduction • M-File Programming

  14. Introduction • M-File Programming The new window pump up

  15. Introduction • M-File programming can be saved and submitted the solution in a clear way • M-File programming has script or function file (stand alone file) • Command windows is only to check the solution directly • Note: When you do the exercise or assignment, you should use M-File to run the solution and you can see the answer and error in the command window

  16. Introduction • Simple Mathematics Functions • +, -, *, /, \,^ • pi= • sin(pi) • cos(pi) • tan(pi) • sqrt(100) • factorial(5) • factor(100) • primes(100) • randperm(10)

  17. Introduction • Round floating point numbers to integer • round • >>round(10.5) • ans= • 11 • >>round(10.4) • ans= • 10 • fix • >>fix(-10.5) • ans= • -10 • >>fix(10.4) • ans= • 10

  18. Introduction • Round floating point numbers to integer • ceil • >>ceil(10.5) • ans= • 11 • >>ceil(-10.4) • ans= • -10 • floor • >>floor(10.5) • ans= • 10 • >>floor(-10.4) • ans= • -11

  19. Introduction • It is convenience since it allows multiple statements to be executed without printing the intermediate results. You can suppress the result by using “semicolon - ;” at the end of each function, • >>pi/3; • >>sin(ans)/cos(ans); • >> ans-tan(pi/3);

  20. Variable • MATLAB variables are created when they appear on the left of an equal sign • >>variable = expression • Variables include • Scalars • Vectors • Matrices • Strings • Characteristics of MATLAB variables: • Variable names must begin with an alphanumeric letter • Following that, any number of letters, digits and underscores can be added, but only the first 19 characters are retained • MATLAB variable names are case sensitive so “x” and “X” are different variables

  21. Scalars • A scalar is a variable with one row and one column • >>a=4; • >>b=5; • >>c=a+b; • The following statements demonstrate scalar operation • >>x=6; • >>y=3; • >>a=x+y; • >>s=x-y; • >>m=x*y; • >>d=x/y; • >>i=y\x; • >>p=x^y;

  22. Scalars • Example: Compute 5sin(2.53-pi)+1/75 • >>5*sin(2.5^(3-pi))+1/75 • ans= • 3.8617 • Example: Compute 1\3(cos3pi) • >>1\3*cos(3^pi) • ans= • 2.9753

  23. Vectors • A vector is a matrix with either one row or one column • Creating vector of the following statements • Ones • To create a row vector of length 5 with single row • >>x=ones(1,5) • x= • 1 1 1 1 1 • Zeros • To create a column vector of length 5 with single row • >>y=zeros(5,1) • x= • 0 • 0 • 0 • 0 • 0 The second one is no. of column The first one is no. of row

  24. Vectors • Linspace • To create a linearly spaced element • >>x=linspace(1,5,5) • x= • 1 2 3 4 5 • Logspace • To create a logarithmically spaced element • >>y=logspace(1,5,5) • y= • 10 100 1000 10000 100000 • The third argument of both linspace and logspace is optional. The third argument is the number of elements to be used between the range specified with the first and second arguments

  25. Vectors • Addressing vector elements • Location of vector can be address by using • >>x=linspace(11,15,3) • x= • 11 13 15 • >>x(2) • ans= • 13 • >>x(end) • ans= • 15

  26. Vectors • Increasing the size of vector • We can also increase the size of vector by simply assigning a value to an element • >>x=linspace(1,5,5) • x= • 1 2 3 4 5 • >>x(7)= -9 • x= • 1 2 3 4 5 0 -9 • X(6) is assigned to zero

  27. Vectors • Colon notation • The format of this command is shown as below: • >>x=xbegin:dx:xend • Or • >> x=xbegin:xend • Where xbegin and xend are the range of values covered by elements of the x vector and dx is the optional increment. The default value of dx is (unit increment). The numbers xbegin, dx and xend may not be integers. • >>x=1.1:5.1 • x= • 1.1 2.1 3.1 4.1 5.1

  28. Vectors • Colon notation • Location of vector can be address by using • >>x=1:10; • >>x(1:2:end) • ans= • 1 3 5 7 9 • To create a column vector, append the transpose operator to the end of the vector-creating expression • >>y=(1:5)' • y= • 1 • 2 • 3 • 4 • 5

  29. Matrices • A matrix is a variable with more than one row and one column • Creating 2 by 2 matrix • >>A=[1 2; 3 4] • A= • 1 2 • 3 4 • Creating 2 by 3 matrix • >>A=[1 2 3; 4 5 6] • A= • 1 2 3 • 4 5 6

  30. Matrices • Addressing matrix elements • >>A=[1 2 3; 4 5 6; 7 8 9] • A= • 1 2 3 • 4 5 6 • 7 8 9 • >>A(2,3) • ans= • 6 • >>A(3,2)=-5 • A= • 1 2 3 • 4 5 6 • 7 -5 9 The second one is no. of column The first one is no. of row

  31. Strings • A string is a word • >>a='test' • a= • test • Converts to ASCII code for simple calculation • >>a+a • ans= • 232 202 230 232 • Apply the string • >>[a a] • ans= • testtest

  32. Mathematical Operation • Addition • >>A=[1 1 1; 1 2 3; 1 3 6]; • >>B=[8 1 6; 3 5 7; 4 9 2]; • >>X=A+B • X= • 9 2 7 • 4 7 10 • 5 12 8 • Subtraction • >>Y=X-A • Y= • 8 1 6 • 3 5 7 • 4 9 2 • Addition & Subtraction require both matrices to have same dimension. If dimensions are incompatible, an error will display • >>C=[1:3; 4:6]; • >>X=A+C • ??? Error using ==> plus • Matrix dimensions must agree.

  33. Mathematical Operation • Multiplication • >>u=[2 3 4]; • >>v=[-2 0 2]'; • >>x=u*v • x= • 4 • >>x=v*u • x= • -4 -6 -8 • 0 0 0 • 4 6 8 • u*v  v*u

  34. Mathematical Operation • Element by Element Operations(.* or ./ or .^) • >>a=[1 2 3]; b=[2 5 8]; • >>a+b • ans= • 3 7 11 • Let’s try to multiply • >>a*b • ??? Error using ==> mtimes • Inner matrix dimensions must agree. • >>a*b' • ans= • 36 It needs to transpose the second vector

  35. Mathematical Operation • Element by Element Operations(.* or ./ or .^) • >>a=[1 2 3]; b=[2 5 8]; • >>a.*b • ans= • 2 10 24 • It also needs to apply at .^ • >>a.^2 • ans= • 1 4 9 • If forget the period will lead to : • >>a^2 • ??? Error using ==> mpower • Matrix must be square.

  36. Mathematical Operation • Solving Linear Equation • ax + by + cz = p • dx + ey + fz = q • gx + hy + iz = r • Set Matrices, • a b c x p • A= d e f , B= y and C= q • g h i z r • A B = C • B=A-1C

  37. Mathematical Operation • For example, • x + y + z = 0 • x - 2y + 2z = 4 • x + 2y - z = 2 • Set Matrices, • 1 1 1 x 0 • A= 1 -2 2 , B= y and C= 4 • 1 2 -1 z 2 • >>A=[1 1 1;1 -2 2; 1 2 -1]; • >>C=[0 4 2]'; • >>B=inv(A)*C • B= • 4.000 • -2.000 • -2.000 • Therefore the linear system has one solution: • X=4, y=-2 and z=-2

More Related