A Proposal of a Mathematical Roadmap for Scilab DRAFT - Projects
A Proposal of a Mathematical Roadmap for Scilab DRAFT - Projects
A Proposal of a Mathematical Roadmap for Scilab DRAFT - Projects
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6.3 Existing tools which may require an updateLow Discrepancy Sequences The module :http://atoms.scilab.org/toolboxes/lowdiscprovides a first implementation <strong>for</strong> these sequences. The work which remains tobe done is :• improving the speed by using vectorized statements,• providing scrambling algorithms (such as Kocis and Whiten’s).7 Design <strong>of</strong> ExperimentsDesign <strong>of</strong> experiments are a method to approximate the behavior <strong>of</strong> a system withpolynomials.DOE are completely uncovered by current <strong>Scilab</strong> features. To include it into<strong>Scilab</strong>, the following features should be added :• management <strong>of</strong> integer uplets (combinations),• management <strong>of</strong> several classes <strong>of</strong> polynomials : order 1, order 2, reduced order2,• management <strong>of</strong> several classes <strong>of</strong> DOEs : full factorial, centered composite.Matlab currently provides the following DOE features :• Full factorial• Fractional factorial• Response surface (central composite and Box-Behnken)• D-optimal• Latin hypercube7.1 Suggested libraries to connect to <strong>Scilab</strong>Lolimot http://lolimot.source<strong>for</strong>ge.net/ is a project developed by Yann Collette<strong>for</strong> the management <strong>of</strong> DOEs in <strong>Scilab</strong>. It is available with LGPL license : Thescilab package is dedicated to design <strong>of</strong> experiments <strong>for</strong>:• polynomials model (Full factorial, D optimal, etc ...);• non linear models (Latin Hypercube Sampling, etc ...).17
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