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Scilab Technical Talk at NTU, TP and HCMUT (Dr Claude Gomez)
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Transcript of Scilab Technical Talk at NTU, TP and HCMUT (Dr Claude Gomez)
![Page 1: Scilab Technical Talk at NTU, TP and HCMUT (Dr Claude Gomez)](https://reader035.fdocuments.us/reader035/viewer/2022062303/558c726ed8b42a4e098b4668/html5/thumbnails/1.jpg)
Scilab
The Free Software for Numerical Computation
Dr. Claude GomezScilab Enterprises CEO
June 2014
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History
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1 - Scilab made by Inria
2003 – 2007: Scilab Consortium phase 1 (Inria)2008 – 2012: Scilab Consortium phase 2 (DIGITEO Foundation) 2008: Free Scilab (GPL compatible) 2009: Xcos industrialization
1980: first MATLAB1980 – 1990: BASILE software at Inria / Simulog
2010: Transfer to Scilab Enterprises Company2012: Exclusivity of trademark, development and publishing of Scilab
1990 – 2003: Open Source Scilab (Research) Scilab freely distributed on the Net in 1994
2 - Scilab industrialization
3 – Scilab Enterprises
![Page 4: Scilab Technical Talk at NTU, TP and HCMUT (Dr Claude Gomez)](https://reader035.fdocuments.us/reader035/viewer/2022062303/558c726ed8b42a4e098b4668/html5/thumbnails/4.jpg)
Scilab Software
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Scilab Distribution Scilab
Powerful Computation Engine
XcosDynamic Systems Modeling and Simulation
ATOMS (AuTomatic mOdules Management for Scilab)
Modules Management
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Scilab: the Free and Open Source Numerical Software
High level programming language
Hundreds of mathematical functions
Advanced data structures & user-defined data types
Computation engine easy to embed into applications
Open System: extended capabilities with professional & specialized modules
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Scilab: Key Scientific Features
Mathematical functions Matrix computation, sparse
matrices Polynomials and rational functions Simulation: ODE and DAE Classic and robust control, LMI
optimization Differentiable and non
differentiable optimization• Interpolation, approximation• Signal processing• Statistics• Xcos: hybrid dynamical systems
modeler and simulator
More than 2,000 functions:
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Xcos Dynamic Systems Modeling & Simulation
A user-friendly GUI-based editor for modeling and simulating hybrid dynamical systems as block diagrams: model construction, edition and customization
Integrated Modelica Compiler
Freely Available and distributed with Scilab
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Xcos main features
• Graphically model, compile, and simulate dynamical systems• Combine continuous and discrete-time behaviors in the same model• Select model elements from Palettes of standard blocks• Program new blocks in C, Fortran, or Scilab language
• HDF5 standard which has been chosen to guarantee data exchanges between Scilab and Xcos Editor
• Free Modelica compiler which enables the simulation of implicit diagrams• Graphical user interface based on JGraphX
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Coselica external module for multiphysics simulation
200 acausal blocks (in Modelica language):• Analogical electrical systems.
• Mechanical systems: 1-D (translations, rotations) and 2-D planar.
• Thermic exchanges 0-D/1-D.
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User-friendly Environment: easy to program
Variable BrowserFile Browser
Command History
Console
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2-D/3-D VisualizationEditor
Embedded Help
External Modules Manager
Variable Editor
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Graphical User Interfaces
Great number of functionalities to create Graphical User Interfaces
Accessible from Scilab
Interaction between GUI and plots
Fully integrated in OS environment
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Latest release: Scilab 5.5.0 (April 2014)
What’s new?
Graphics: speed (Matplot), datatips, interactions, 3-D lightning
Graphical User Interface: new UI Controls
Remote file Access (sciCurl)
Scilab/MPI (Message Passing Interface)
Java Integration (JIMS)
HDF5 management
Localization of external modules
Works under Windows XP/Vista/7/8, GNU/Linuxand Mac OS X, 32 bits and 64 bits
• Mathematics and linear algebra
• Simulation
• Visualization
• Control
• Optimization
• Probabilities, statistics
• Signal processing
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Links with other language and software
Management of C, C++, Fortran, Java, Python, .net... from Scilab: JIMS module for Java
Available as a computing engine with C, C++, Java, Python, .net API...
Links with: – Excel®, COM/DCOM® (Microsoft),
– Labview® (National Instruments),
– Isight® (Dassault Systèmes),
– Alternova® (Eurodecision),
– modeFRONTIER® (ESTECO),
– etc.
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Scilab Future
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Scilab: Main Development Axis
Covering strategic fields
From HPC to multicore:Scilab 6 with new kernel
Embedded systems:C code generation with Xcos
Extending Scilab & Xcos
Interface with main simulation software
Dedicated sectorial modules
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New kernel ready for:• HPC: multithreading, parallelism
detection,…
• Code generation
• Debugging
Scilab for the Future: Scilab 6
Language: ascendant compatibility ensured
Memory:• Scilab memory is only limited by hardware
• Dynamic memory allocation
New parser:• Native multi dimensional types and lists
• Error management
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Scilab Community
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Scilab in the World
About 100,000 monthly downloads from 150 countries on www.scilab.org
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Scilab in Vietnamese
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Main French Scilab Users
Main industrial sectors Aerospace: Airbus Group, CNES, Safran,
Dassault Aviation Transportation: Renault, LEONI, Siemens,
Alstom, Faurecia Mechanical: ArcelorMittal, Aperam Energy: EDF, RTE, CEA, Total, IFP Defence: DGA, THALES Health: SANOFI Telecom: Orange Earth Science: BRGM, Eramet
Academics, education High schools Engineering schools Universities
In red: Scilab Enterprises customers
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Organization
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Company created in June 2010 from Inria The official structure resulting of the Scilab
Consortium which had developed Scilab since 2003
Jacques DhellemmesPresident
Claude GomezCEO
Christian SaguezVice President
Denis RanqueBoard Administrator
A high level team who has extensive knowledge of Scilab software and its environment and benefits directly from the Scilab developers expertise.
Scilab Enterprises relies on the historical and technical knowledge of the Scilab Consortium which develops Scilab software since 2003.
Scilab Enterprises
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Activities
Scilab = Free software
funding
Scilab Enterprises
• Services:
– Consulting
– Migrations to Scilab
– Specific in-house versions
– Development and optimization of applications
• Products:
– Training and support
– Scilab LTS (« Long Term Support »)
– External commercial modules
development
publishing
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International Partnership Committee
President: Gérard Poirier (Dassault Aviation)
The International Scilab User’s Group
Role
• Management of Scilab users and developers• Promotion of Scilab• Roadmap and external modules proposals• All kinds of exchanges around Scilab
Creation of regional groups
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Extending Scilab
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What does “free” means
Scilab Enterprises Commitment
Mission given by InriaThe Scilab distribution is and will
remain Free and Open Source
The Scilab distribution = what isdownloaded from “www.scilab.org”
• Mathematical functions• Language• Graphics, GUI• Xcos• ATOMS
Scilab license: CeCILL, GPL compatible
Scilab includes GPL code
=
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External modules: Open Source or not Free or commercial
EM
EM
Scilab distribution: Free and Open Source
...
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Graphics
GUI Fortran and C code
(800,000 lines)
Scilab code(150,000 lines)
Computation libraries
Parser
Interpreter
API
Docu
men
tatio
nScilab
internals
User
External Module
External Module
External
Module
700 functions
1300 functions XML
JAVA
External
Module
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Make a complete application using the good language
Fortran, C, C++
Scilab Code (including UI
Control)
Java
Scilab API:create a C gateway
JIMS = Java Interaction Mechanism in Scilab
You can use your own existing code without modifying it
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External modules
EM
EM
Scilab
ATOMSsystem
ATOMS: the external module manager
Advantages of ATOMS modules:
Independent of Scilab releases issues: easy update
Works on all architectures (Fortran, C or C++ code compiled on Windows, Mac OS X, Linux)
Handling of dependencies between modules
...
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User implementation
Organize the Scilab module according to instructions: http://atoms.scilab.org
The module can include:Scilab, Fortran, C, C++, Fortran code, XML help files
Upload source of Scilab module to ATOMS Scilab site Module available from Scilab
“ATOMIZATION” by Scilab Enterprises
For Companies: an internal ATOMS server can be installed
Fast deployment and easy maintenance
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ATOMS modules are loaded and installed interactively from Scilab from the “Applications” menu
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Why Using Scilab?
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Scilab Advantages
Scilab is free software
– Easy to install everywhere
– Large community of users
But freedom is not enoughA friendly software with a lot of functionalities
– Included toolboxes for most of applied mathematics
– Own dedicated OpenGL graphics
– Xcos comparable to Simulink
– Easy to add interactively external module
A comprehensive organization takes care of Scilab
– Scilab developed professionally by Scilab Enterprises
– Supports and services
– IPC Scilab Users Group with important Companies
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Matlab … Scilab
Scilab is not a clone of Matlab
• Very similar languages• Same simple graphics functions: plot, bar, mesh, pie, surf
• But different syntax and semantics for many functions:- Syntax example: “eigen” vs. “spec”- Semantics example: “max” function- Different management of source files
Matlab / Scilab dictionary available in the Scilab help
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How Using Scilab?
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Scilab as a Powerful Graphical Calculator
Matrix computations:A=rand(1000,1000); b=rand(1000,1);x=A\b; norm(A*x-b)vp=spec(A);
2D plots:plot(real(vp),imag(vp),"*r");x=linspace(-%pi,%pi,1000);clf; plot(x,sin(x),"r",x,cos(x),"g");
3D curve:k=tan(%pi/27);t=linspace(-40,40,1000);x=cos(t)./cosh(k*t); y=sin(t)./cosh(k*t); z=tanh(k*t);clf; param3d(x,y,z);
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3D beautiful surface: 90,000 pointsfunction z=f(x,y) // function defining the surface z=exp(exp(-x^2-y^2)*(exp(cos(x^2+y^2)^20)+.. 8*sin(x^2+y^2)^20+2*sin(2*(x^2+y^2))^8));endfunctionx=linspace(-1.5,1.5,300); y=linspace(-1.5,1.5,300); z=feval(x,y,f);f=scf(0); f.color_map=rainbowcolormap(32);surf(x,y,z); // plot the surfacee=gce(); e.color_mode=-1;a=gca(); a.box="off";a.axes_visible=["off","off","off"];a.x_label.visible="off";a.y_label.visible="off";a.z_label.visible="off";
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Example: we want to plot data in 2D with color according to the value of the points, modify data and plot again
Data are given in text file mandel.txt (2 million points, 19 Mb).1. Put data into Scilab matrix M:
M=fscanfMat("mandel.txt");2. Open graphics window, choose beautiful colormap and plot points
according to its value:f=scf(1); f.color_map = rainbowcolormap(256);Matplot(M);
3. Discard points with value between 50 and 210 and plot in another window:M(find(50<M & M<210))=1;f=scf(2); f.color_map = rainbowcolormap(256);Matplot(M);
A very usual use: 1. Get data. 2. Plot Data. 3. Modify data and plot again.
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First plot Second plot
Plotting is instantaneous:
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To read text file takes time:M=fscanfMat("mandel.txt"); // 5 seconds
1. Save matrix into binary SOD (Scilab Open Data) based on HDF5 standard:save("mandel.sod","M"); // 0.04 second
2. Loading into Scilab is now very fast:load("mandel.sod"); // 0.1 second
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Programming in Scilab
Friendly editor, powerful mathematical language close to natural language:
function u=Newton(f,fprim,u0,eps) u=u0; while abs(f(u))>eps then fp=fprim(u); if abs(fp)<=%eps then error("singularity") end u=u-f(u)/fp endendfunction
About 1,300 Scilab functions are written in Scilab
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function x=Gauss(A,b,eps) n=size(b,"*"); x=b; for k=1:n-1 // when the diagonal term is close to 0 // searching for a non zero element in the column if abs(A(k,k))<eps then kk=find(abs(A(k:n,k))>eps); if kk==[] then disp(“Non invertible Matrix"); return; end // exchanging lines k and kk in A and in b kk=kk(1); lignek=A(k,:); A(k,:)=A(kk,:); A(kk,:)=lignek; lignek=b(k); b(k)=b(kk); b(kk)=lignek; end // Gauss algorithm for l=k+1:n p=A(l,k)/A(k,k); for m=k:n A(l,m)=A(l,m)-A(k,m)*p; end x(l)=x(l)-x(k)*p; end end if abs(A(n,n))<eps then disp("Non invertible Matrix "); return; end // compute x x(n)=x(n)/A(n,n); for i=n-1:-1:1 s=0; for j=i+1:n s=s+A(i,j)*x(j); end x(i)=(x(i)-s)/A(i,i); endendfunction
Gaussian elimination with partial pivoting:
Scilab vectorized syntax
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Save and load GUI as XML files : Save GUI with:
saveGui(f,"mygui.xml"); Load GUI with:
f=loadGui("mygui.xml");
Making easy Scilab GUI with Scilab 5.5.0
New components, speed, default look and feel of the OS
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Migration from Matlab to Scilab: fast ROI
Migration from Excel to Scilab: GUI, faster computations, easy deployment and maintenance, easy evolution
BRGM Example 1
Scilab as a computation engine for other software: LabVIEW, iSight, ModFRONTIER,…
Make complete application as Scilab modules:– Used on site for production: ARCELORMITTAL, SANOFI, SNECMA,…– For internal use: AIRBUS GROUP, BRGM, CNES, DASSAULT AVIATION, EDF…– For scientific domains:
• Space mechanics: CelestLab by CNES Example 2• Optimization platform: SOP with DASSAULT AVIATION Example 3
For Industry
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Example 1: from Excel to Scilab, BRGM
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Example 2: CelestLab
ATOMS module for space mechanics and flight dynamics made by CNES
Freely available and Open Source Used by CNES and ESA for mission analysis Library of Scilab code: functions easily re-used for
making new programs
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CelestLab: A free and open source Scilab library for flight dynamics
CelestLab topics
Topics Contents
Coordinates and Frames - Change of coordinates- Dates manipulation- Change of reference frames- Orbital element transformations- Rotations and quaternions
Geometry and Events - Orbital events computation- Orbital geometry
Interplanetary - Interplanetary transfer- Three body analysis
Models Earth motion, density models
Orbit properties - Keplerian formulas- Orbit characteristics (sun synchronism, repeat orbits, frozen
orbits)
Relative motion Chlohessy-Wiltshire formalism
Trajectory and manoeuvres
- Orbit propagation (analytical)- Manoeuvre computation- Dispersion analysis
Utilities - Various support functions including graphics
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CelestLab: A free and open source Scilab library for flight dynamics 52
CelestLab and mission analysis practices
■Coding Scilab scripts using CelestLab is easy. This encourages people to develop their own scripts.
■CelestLab is developed by people in charge of mission analysis. It is a shared product.
■When an analysis is completed, there is an assessment on whether a part can be incorporated in CelestLab.
■CelestLab demos are a efficient solution for answering recurrent questions and can easily modified if needed.
■CelestLab is well documented and is more and more used as a source of information on a laptop.
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Examples of computation made with CelestLab:
1 - Sun elevation from any location on Earth
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2 - Sun reflection point (glint)
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3 - Ground stations visibility
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Example 3: SOP
Optimization platform made with DASSAULT AVIATIONOMD2 and CSDL French funded R & D projects
Open Source and freely available: ATOMS module in the future Comprehensive application with GUI Library of C and Scilab code
Typical example of a complete Scilab industrial application:– Friendly interactive user interface masking the complexity to the final user– Possibility to try various algorithms, to make comparisons– Possibility to add its own functions and algorithms– Visualization and interaction with graphics
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Interactive Graphics User Interface
Three modules: Data management Modeling Optimization
Project management: Saving and loading
Visualization and graphical interaction at each level
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Data management
Load and generate existing DOE (iSight,…) : possibility to add its own DOE generator
Response simulation using external tools (openFOAM, CATIA, CCM+,…) or Scilab functions
2D visualization of factors and responses
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Modeling
Selection among various modelers: DACE, LOLIMOT,… Parameter configuration Multiple model management with best model
selection
Possibility to select points:– Learning point– Validation or points– Bad points (simulation issues,…)
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Modeling: execution and 2D visualization
Response: all factors, two factors Correlation
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Optimization
Responses coefficients setting Optimizer:
– Selection between various algorithms: optim, fmincon, genetic,…
– Possibility to add its own algorithm– Interactive configuration
Visualization:– Optimal point– Pareto frontier– Robustness
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Conclusion
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Scilabis
The Professional Free Software for Numerical Computation
Industry, Education and Research
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