Scilab for Real Dummies

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Scilab disadvantages � �� Numeric computing introduces rounding errors, contrary to symbolic symbolic computing �� The learning effort required by numeric computing is higher than for symbolic computing �� Scilab lacks a unified tutorial and/or user’s user s manual. manual. You “try try and cry” cry and waste time searching for information on its use* �� In some cases Scilab executes much slower than Matlab and GNU Octave (improvements are said to be under way) �� Scilab’s Scilab s tools for creating GUIs are poor compared with Matlab �� The Help Browser is very formal and of little use to newbies �� Scilab has bugs and tends to crash/lockup (it happens to Bill Gates as well. Often) �� On-line On line support from Equalis costs $495 or more per annum (the French prefer $ to €) *) Scilab is not alone. The open-source community has a poor track record in documentation because “paperwork” does not bring recognition.
Terminology: “function function” The C programming language brought confusion with its unrestricted use of the term “function” and this is repeated in Scilab. The term refers to (at least): • Mathematical functions in general • Scilab’s built-in functions • User defined functions (UDF) I would prefer the terms function, macro (or procedure), and subroutine respectively (protests form dogmatic programmers are overruled). Sometimes I talk about subroutine, but it is not always possible. For instance, function is the term that must be used to define a UDF in Scilab. And there is also the risk of adding to the bewilderment by applying own terminology. The confusion remains... �
Page 1 and 2: Scilab for Real Dummies, Introducin
Page 3 and 4: Tribute to old gods The best Scilab
Page 5 and 6: Why PowerPoint? ☺ Why do I releas
Page 7 and 8: Contents 1. Introduction 2. A first
Page 9 and 10: What Scilab is (1/2) �� A softw
Page 11 and 12: Why use Scilab—personal Scilab pe
Page 13: Scilab advantages ☺ �� Numeri
Page 17 and 18: Intro to problems (2/3): new releas
Page 19 and 20: Embedded information � Scilab com
Page 21 and 22: Information on the Web (2/2) - YouT
Page 23 and 24: On updates & literature Scilab evol
Page 25 and 26: On the bright side... ☺ �� Sc
Page 27 and 28: Windows installation (1/3) 1. Downl
Page 29 and 30: Windows installation (3/3) 5. Scila
Page 31 and 32: The Console Click on Scilab’s sho
Page 33 and 34: Scilab in 15 minutes (1/3): write a
Page 35 and 36: Scilab in 15 minutes (3/3): discuss
Page 37 and 38: The Console’s Console s menu bar
Page 43 and 44: The Help Browser (1/3) In the Conso
Page 45 and 46: The Help Browser (3/3): help functi
Page 47 and 48: Editor menu bar (1/5): File File co
Page 49 and 50: Editor menu bar (3/5): Preferences
Page 51 and 52: Editor menu bar (5/5): Execute The
Page 53 and 54: Ready to go Your desktop should now
Page 55 and 56: One more thing (2/2): docking windo
Page 57 and 58: Built-in Built in functions Below i
Page 59 and 60: Scilab operators (1/2) The list con
Page 61 and 62: Computing terminology: a brief intr
Page 63 and 64: Check handles with gcf() gcf() �
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3. Playing with the Console & Edito
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Simple calculations � The Console
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List of variables (2/2) � The com
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Computing precision (1/2) -->a = 1
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Displaying graphics � The Console
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Editing demo � Evaluate the funct
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Vectorized functions � Scilab fun
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Polynomials �� You run into pol
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Poles and zeros: plzr() plzr() �
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Gadgets (2/2): puzzle Another gadge
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4. Examples, Set 1 Demonstration of
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Ex 1-1: 1 1: the Graphics Window As
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Ex 1-1: 1 1: change directory �
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Ex 1-1: 1 1: comments (1/4), comman
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Ex 1-1: 1 1: comments (3/4), clf As
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Example 1-2: 1 2: the task, a decay
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Ex 1-2: 1 2: plot The plot looks as
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Ex 1-2: 1 2: printing �� Scilab
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Ex 1-2: 1 2: final plot OK, not an
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Example 1-3: 1 3: Lotto, the task T
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Ex 1-3: 1 3: task 1, saving This sc
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Ex 1-3: 1 3: task 1, discussion �
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Ex 1-3: 1 3: task 2, script (2/2) R
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Ex 1-3: 1 3: comments (1/3) ��
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Ex 1-3: 1 3: comments (3/3), roundi
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Introduction �� As Scilab is bu
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Row and column vectors Task 1: Crea
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Basic matrix calculations -->A = [1
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sum(), transpose, and diag() diag()
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prod() �� The product of rows a
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Min/max position & value �� A v
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size() �� The function size() c
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find(condition) find(condition �
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testmatrix() testmatrix() �� Ma
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Deleting rows and columns � Rows
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Addressing matrix elements by linea
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Concatenation (2/2) � In this exa
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Operators (2/4): more examples with
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Operators (4/4): the Backslash Oper
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Singularities and left division �
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Strings (2/6): disp(), disp(), stri
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Strings (4/6): write(), input() �
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Strings(6/6): demo with find() & gs
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Arrays: general �� The term “
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Element-by Element by-element eleme
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Dot Operator pitfalls �� In pra
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A few more functions (2/5): getdate
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A few more functions (4/5): rand()
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6. Examples, Set 2 Adds to what we
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Ex 2-1: 2 1: script & solution The
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Ex 2-1: 2 1: what should have been
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Ex 2-2: 2 2: mesh-currents mesh cur
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Ex 2-2: 2 2: comments �� The ex
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Ex 2-3: 2 3: the task �� Assume
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Ex 2-3: 2 3: plots Note the use of
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Ex 2-3: 2 3: comments (2/3) For a l
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Example 2-4: 2 4: string functions,
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7. Graphics & plotting 2D & 3D plot
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getcolor() getcolor() �� When w
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Axes Editor The most useful editing
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Plot editing demo, edited plot �
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Graphics Window commands �� The
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plot2d(): syntax �� The plot2d(
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plot2d(): multiple plots �� The
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plot2d(): demo with matrices The si
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plot(): the beauty of simplicity (1
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3D graphs: plot3d() �� The synt
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3D graphs: surf(), task & script
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Contour plots: contour() �� Let
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Mixed contours and vector fields
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Mixed 2D/3D plots (1/2): script Sci
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3D plot with hole The %nan nan func
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subplot(): demo script // subplot.s
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plot2d2(), plot2d3(), plot2d4(): de
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Histograms: functions to create the
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Histograms: demo, plot
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Old graphics syntax (2/2): demo, pl
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Logarithmic scale: task & script
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Polar coordinates �� Polar coor
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Handles (1/12): introduction* �
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Handles (3/12): basic graphics hier
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Handles (5/12): demo, behind the sc
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Handles (7/12): demo, step 2 In thi
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Handles (9/12): demo, step 4 Title
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Handles (11/12): comments (1/2) �
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Polylines (1/3): xpoly(), xpoly(),
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Polylines (3/3): xpoly(), xpoly(),
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What to do with xset()? xset()? �
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Flawed error messages �� Scilab
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8. Examples, Set 3 On plotting, han
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Ex 3-1: 3 1: script �� The firs
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Ex 3-1: 3 1: alternative Bode plot
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Example 3-2: 3 2: Black vs. Nichols
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Example 3-3: 3 3: an RC circuit �
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Ex 3-3: 3 3: plot Note that the xax
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Ex 3-4: 3 4: beam scanning The prev
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Ex 3-4: 3 4: plot The plot verifies
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Example 3-5: 3 5: 3D sinc This exam
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Example 3-6: 3 6: Lissajous figures
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Ex 3-6: 3 6: Lissajous figures, plo
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Ex 3-6: 3 6: Lissajous figures, scr
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Ex 3-6: 3 6: Lissajous figures, scr
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Ex 3-6: 3 6: Lissajous figures, che
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Tips on Matlab to Scilab conversion
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M-to to-S S translator: the process
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M-to to-S S translator: script (1/4
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M-to to-S S translator: script (3/4
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M-to to-S S translator: plot Yeees,
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Manual conversion (1/6): Case #1, s
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Manual conversion (3/6): Case #2, s
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Manual conversion (5/6): Case #3, d
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10. Subroutines This discussion on
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An introductory demo �� Recall
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Local and global variables �� Y
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On output arguments The example to
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Demo (1/2): script Task: Compute &
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Nested subroutines �� Subroutin
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Global subroutines: window demo (1/
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Global subroutines: window demo (3/
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Comment: multiple plots with a sing
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Introduction �� We have now com
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for … end �� The for ... end
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for … if … else … end: demo,
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for … if … else … end: demo,
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for … if … else … end: commen
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while … if /then/else … end �
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Comments on interactivity �� Th
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if … (elseif elseif/else) /else)
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select … case … else … end
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select … case … end: demo, scri
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eak: demo // break.sce // Input m p
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12. Examples, Set 4 The first three
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Ex 4-1: 4 1: step function, unit st
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Ex 4-1: 4 1: step function, rectang
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Example 4-2: 4 2: cones in a 3D spa
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Ex 4-2: 4 2: script (2/4) �� La
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Ex 4-2: 4 2: script (4/4) �� Pl
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Ex 4-2: 4 2: comments �� Chance
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Ex 4-3: 4 3: plot Box alignment def
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Ex 4-3: 4 3: how to transform the c
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Example 4-4: 4 4: ballot engine for
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Ex 4-4: 4 4: script (2/2) �� Ge
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Example 4-5: 4 5: nested structures
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13. Doing math on Scilab Scilab con
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optim() optim() & fsolve(): fsolve(
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fsolve() fsolve() and optim(): opti
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fsolve(): fsolve(): limitation The
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Complex numbers: demo, equations
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Complex numbers: demo, script (2/3)
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Numeric derivation (1/3): derivativ
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Numeric derivation (3/3): plot A le
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Numeric integration (2/6): length o
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Numeric integration (4/6): double i
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Numeric integration (6/6): double i
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First-order First order ODEs: ODEs:
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Second-order Second order ODEs: ODE
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14. Examples, Set 5 The examples gi
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Ex 5-1: 5 1: solving an equation (2
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Exxample 5-2: 2: ODE, series RLC ci
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Ex 5-2: 5 2: ODE, series RLC circui
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Ex 5-2: 5 2: ODE, series RLC circui
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Ex 5-3: 5 3: script The state-space
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Example 5-4: 5 4: Simpson’s Simps
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Ex 5-4: 5 4: Simpson’s Simpson s
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Ex 5-4: 5 4: Simpson’s Simpson s
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15. Working with GUIs The term GUI
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Tailoring windows (1/2) There are f
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Tailoring windows (3/3) �� You
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Interacting with the GW (2/4): scri
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Interacting with the GW (4/4): what
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GUIs: pop-up pop up window function
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GUI demo 2: creating pop-up pop up
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GUI demo 3: opening a predefined GW
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GUI shortcomings �� GUIs are no
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File handling: introduction ��
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File handling: demo 1 (2/5), script
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File handling: demo 1 (4/5), the .t
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Spreadsheet data (1/7): Creating da
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Spreadsheet data (3/7): .csv csv fi
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Spreadsheet data (5/7): script for
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Spreadsheet data (7/7): Text data i
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mclose() mclose() �� A file tha
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Format definitions �� Recall th
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Format demo: script (2/2) & text fi
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17. Animation A brief introduction
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Demo 1 (1/4): Introducing pixmap &
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Demo 1 (3/4): moving pie, frozen pl
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Demo 2 (1/2): moving rectangles �
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Demo 3 (1/3): a 3D object, script (
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Demo 3 (3/3): a 3D object, plot The
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The problem-solving problem solving
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Programming pitfalls (1/4) �� C
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Programming pitfalls (3/4): error m
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Debugging (1/2) �� We are alrea
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Speeding up Scilab (1/4): introduct
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Speeding up Scilab (3/4): execution
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Discrepancy in time measurements (1
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ATOMS (1/6): installing new toolbox
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ATOMS (3/6): install I decided to t
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ATOMS (5/6): Check with Matlab’s
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Building a script library �� Ov
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Example 6-1: 6 1: user defined GUI,
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Ex 6-1: 6 1: … script/… script/
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Ex 6-1: 6 1: user defined GUI, scri
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Ex 6-1: 6 1: user defined GUI, scri
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Ex 6-1: 6 1: discussion �� I co
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Ex 6-2: 6 2: animation of a waltzin
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Ex 6-2: 6 2: animation of a waltzin
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Ex 6-3 6 3 (2/2): grayplot() graypl
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Ex 6-4: 6 4: sector chart, plot �
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Ex 6-5: 6 5: Robot arm (2/6), Matla
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Ex 6-5: 6 5: Robot arm (4/6), Scila
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Ex 6-5: 6 5: Robot arm (6/6), discu
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Ex 6-6: 6 6: planet & moon, script
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Ex 6-6: 6 6: planet & moon, script
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20. Adieu Final words to accompany
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