1 / 18

Matlab & LaTeX Tutorial

Matlab & LaTeX Tutorial. Course web page: vision.cis.udel.edu/cv. February 14, 2003  Lecture 2. Announcements. Try running Matlab, pdflatex; let me know if you’re having any trouble getting an account or otherwise

landry
Télécharger la présentation

Matlab & LaTeX Tutorial

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. Matlab & LaTeXTutorial Course web page: vision.cis.udel.edu/cv February 14, 2003 Lecture 2

  2. Announcements • Try running Matlab, pdflatex; let me know if you’re having any trouble getting an account or otherwise • Read about 3-D geometry in Chapter 2-2.1 of Forsyth & Ponce for Monday’s lecture

  3. Outline • Matlab • A high-level language for matrix calculations, numerical analysis, & scientific computing • LaTeX • A set of typesetting macros for documents containing equations, specialized mathematical symbols, etc.

  4. Matlab • For solving problems that arise in physics, engineering, and other sciences such as integration, differential equations, and optimization numerically as opposed to analytically (like Mathematica) • Toolboxes are libraries for particular applications such as images, fluid dynamics, etc. • Language features • Intepreted • No variable declarations • Automatic memory management • Variable argument lists control function behavior • Vectorized: Can use for loops, but largely unnecessary

  5. How to Get Help • In Matlab • Type “help” to get a listing of topics • “help <topic>” gets help for that topic. The information is at the level of a Unix man page • On the web • “Matlab links” on course web page has pointers • Especially MathWorks help desk: www.mathworks.com/access/helpdesk/help/helpdesk.shtml

  6. Entering Variables • Entering a scalar, vector, matrix >> a = 27; >> V = [10, 4.5, a]; >> M = [3, 4 ; -6, 5]; • Without semi-colon, input is echoed (this is bad when you’re loading images!). You can use this as a kind of print statement, though • Comma to separate statements on same line • size: Number of rows, columns

  7. Constructing Matrices • Basic built-ins: • All zeroes, ones: zeros, ones • Identity: eye • Random: rand (uniform), randn (unit normal) • Ranges: m:n, m:i:n (i is step size) • Composing big matrices out of small matrix blocks • repmat(A, m, n): “Tile” a big matrix with m x n copies of A • Loading data: M = dlmread(‘filename’, ‘,’) (e.g., comma is delimiter) • Write with dlmwrite(‘filename’, M, ‘,’)

  8. Manipulations & Calculations • Transpose (‘), inverse (inv) • Matrix arithmetic: +, -, *, /, ^ • Can use scalar a * ones(m, n) to make matrix of a’s • repmat(a, m, n) can be faster for big m, n • Elementwise arithmetic: .*, ./, .^ • Relations: >, ==, etc. compare every element to scalar • M > a returns a matrix the size of M where every element greater than a is 1 and everything else is 0 • Functions • Vectorized • sin, cos, etc.

  9. Deconstructing Matrices • Indexing individual entries by row, col: A(1, 1) is upper-left entry • Ranges: e.g., A(1:10, 3), A(:, 1) • Matrix to vector and vice versa by column: B = A(:), A(:) = B • Transpose to use row order • find: Indices of non-zero elements • find(M==a) gives indices of M’s elements that are equal to a

  10. Vector/Matrix Analysis • Whole vector • Matrix • By column • norm: magnitude • max, min: max(max(M)) is maximum element of matrix M • sum • By row: transpose, do column analysis

  11. M-Files • Any text file ending in “.m” • Use path or addpath to tell Matlab where code is (non-persistent?) • Script: Collection of command line statements • Function: Take argument(s), return value(s). First line defines: >> function y = foo(A) >> function [x, y] = foo2(a, M, N) • Comment: Start line with %

  12. Control Structures • Expressions, relations (==, >, |, &, functions, etc.) • if/whileexpressionstatementsend • Use comma to separate expression from statements if on same line >> if a == b & isprime(n), M = inv(K); else M = K; end • forvariable=expressionstatementsend >> for i=1:2:100, s = s / 10; end

  13. Plotting • 2-D vectors: plot(x, y) >> plot(0:0.01:2*pi, sin(0:0.01:2*pi)) • 3-D: plot3(x, y, z)(space curve) • Surfaces • meshgrid makes surface from axes, mesh plots it >> [X,Y] = meshgrid(-2:.2:2, -2:.2:2); >> Z = X .* exp(-X.^2 - Y.^2); >> mesh(Z) • surf: Solid version of mesh • Saving figures, plots: print –depsc2filename or –dpng or –djpgnn, where nn is quality 00-99

  14. Images • Reading: I = imread(‘filename’); • Accessing/modifying the pixels • I is m x n if image is grayscale—e.g., I(i, j) • I is m x n x 3 if image is color—e.g., I(i, j, 1) • Displaying • Just the image: imshow(I); • With overlay: I = imread(‘gore5.jpg'); [r,c,d]=size(I); imshow(I), hold on; plot(c*rand(100,1),r*rand(100,1), 'r*'); hold off; • Writing: imwrite(I, ‘filename’);

  15. LaTeX • A markup language for typesetting scientific and mathematical documents • Similar to editing raw HTML, with a lot of special-purpose characters and commands

  16. Documents • May be easiest to just modify template file provided: cv_math_template.tex • File anatomy • Header stuff (document type, font size, etc.)—ignore • Title, author • Sections and subsections • Footer stuff—ignore • Contents • Text • Equations (warning: different ways to get same effect) • Figures, tables: put these kinds of things in your web page • Compiling: “pdflatex filename.tex”  filename.pdf; preview with Acrobat Reader

  17. Equations • Types • Inline: $2 + 2 = 4$ • Display: \[ a x + by > c \] • Font types (regular letters are italicized as variables by default) • Roman, bold, italic, calligraphy • Symbols • Greek letters: \alpha, \beta, etc. • Operators: \infty, \geq, etc. • Functions: \log, \sin, etc. • Sub- and superscripting: a_{n}, x^{2} • Inverse: \mathbf{A}^{-1} • Transpose: \mathbf{R}^{T} • Vectors and matrices: Arrays • For example, \left( \begin{array}{c} x \\ y \end{array} \right)

  18. Function/Macro Equivalent: \newcommand • Definitions (right after \begin{document}) • Simple substitution: \newcommand{\Mean}{\mu} • Arguments: \newcommand{\MyAdd}[2]{{#1 + #2} • Invoking • $\Mean$ • $\MyAdd{a}{b}$

More Related