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%YALMIPDEMO Brief tutorial and examples. | ||
% | ||
% See also YALMIPTEST | ||
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disp('The examples here are obsolete.') | ||
disp(sprintf('Please check out the <a href="http://users.isy.liu.se/johanl/yalmip/pmwiki.php?n=Tutorials.Tutorials">on-line tutorials</a> on the YALMIP Wiki instead')); | ||
return | ||
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% Check for paths | ||
if ~(exist('socpex')==2) | ||
disp('You have to set the path to the demo library (...\yalmip\demos\)') | ||
return; | ||
end | ||
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i = 1; | ||
problems{i}.class = 0; | ||
problems{i}.info = 'Getting started, the basics'; | ||
problems{i}.call = 'basicsex';i = i+1; | ||
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problems{i}.class = 1; | ||
problems{i}.info = 'Linear and quadratic programming'; | ||
problems{i}.call = 'regressex';i = i+1; | ||
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problems{i}.class = 1; | ||
problems{i}.info = 'Second order cone programming'; | ||
problems{i}.call = 'socpex';i = i+1; | ||
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problems{i}.class = 2; | ||
problems{i}.info = 'Lyapunov stability (SDP)'; | ||
problems{i}.call = 'stabilityex';i = i+1; | ||
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problems{i}.class = 0; | ||
problems{i}.info = 'Model predictive control (LP,QP,SDP)'; | ||
problems{i}.call = 'mpcex';i = i+1; | ||
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problems{i}.class = 2; | ||
problems{i}.info = 'Determinant maximization (MAXDET)'; | ||
problems{i}.call = 'maxdetex';i = i+1; | ||
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problems{i}.class = 2; | ||
problems{i}.info = 'Decay-rate estimation (SDP)'; | ||
problems{i}.call = 'decayex';i = i+1; | ||
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problems{i}.class = 0; | ||
problems{i}.info = 'Mixed integer programming (MILP,MIQP,MICP)'; | ||
problems{i}.call = 'milpex';i = i+1; | ||
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problems{i}.class = 3; | ||
problems{i}.info = 'Working with polynomial expressions'; | ||
problems{i}.call = 'nonlinex';i = i+1; | ||
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problems{i}.class = 3; | ||
problems{i}.info = 'Working with nonlinear operators'; | ||
problems{i}.call = 'nonlinopex';i = i+1; | ||
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problems{i}.class = 3; | ||
problems{i}.info = 'Nonlinear semidefinite programming using PENBMI (BMI)'; | ||
problems{i}.call = 'bmiex1';i = i+1; | ||
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problems{i}.class = 3; | ||
problems{i}.info = 'Decay-rate estimation revisited with PENBMI (BMI)'; | ||
problems{i}.call = 'decaybmiex';i = i+1; | ||
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problems{i}.class = 3; | ||
problems{i}.info = 'Simultaneous stabilization with PENBMI (BMI)'; | ||
problems{i}.call = 'simstabex';i = i+1; | ||
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problems{i}.class = 4; | ||
problems{i}.info = 'Sum-of-squares decompositions'; | ||
problems{i}.call = 'sosex';i = i+1; | ||
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problems{i}.class = 4; | ||
problems{i}.info = 'Polynomial programming using moment-relaxations'; | ||
problems{i}.call = 'momentex';i = i+1; | ||
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problems{i}.class = 4; | ||
problems{i}.info = 'Global nonlinear programming'; | ||
problems{i}.call = 'globalex';i = i+1; | ||
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problems{i}.class = 5; | ||
problems{i}.info = 'Multi-parametric programming'; | ||
problems{i}.call = 'mptex';i = i+1; | ||
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problems{i}.class = 5; | ||
problems{i}.info = 'KYP problems (SDP)'; | ||
problems{i}.call = 'kypdex';i = i+1; | ||
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problems{i}.class = 5; | ||
problems{i}.info = 'Posynomial geometric programming'; | ||
problems{i}.call = 'geometricex';i = i+1; | ||
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problems{i}.class = 5; | ||
problems{i}.info = 'Complex-valued problems'; | ||
problems{i}.call = 'complexex';i = i+1; | ||
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problems{i}.class = 5; | ||
problems{i}.info = 'Dual variables'; | ||
problems{i}.call = 'dualex';i = i+1; | ||
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while (1) | ||
clc | ||
echo off | ||
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disp(' ') | ||
disp(' ') | ||
disp(' YALMIP DEMO') | ||
disp(' ') | ||
oldclass = 0; | ||
for i = 1:length(problems) | ||
% if problems{i}.class == oldclass | ||
% fprintf('\n'); | ||
% end | ||
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fprintf([' %1.2d) ' problems{i}.info '\n'],i); | ||
% oldclass = problems{i}.class; | ||
end | ||
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disp(' '); | ||
disp(' 0) quit') | ||
inp = input('Select demo: '); | ||
try | ||
if ~isempty(inp) | ||
switch(inp) | ||
case 0 | ||
return | ||
otherwise | ||
if inp<=length(problems) | ||
eval(problems{inp}.call); | ||
end | ||
end | ||
end | ||
catch | ||
disp(lasterr) | ||
pause | ||
end | ||
end | ||
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disp(sprintf('Please check out the <a href="https://yalmip.github.io/">on-line tutorials</a> on the YALMIP Wiki')); |