93 lines
2.7 KiB
Matlab
Executable File
93 lines
2.7 KiB
Matlab
Executable File
function y = blkdiag(varargin)
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%BLKDIAG (overloaded)
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if nargin<2
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y=varargin{1};
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return
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end
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% Get dimensions
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n = zeros(length(varargin),1);
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m = zeros(length(varargin),1);
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isasdpvar = zeros(length(varargin),1);
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%Symmetric = zeros(nargin,1);
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for i = 1:length(varargin)
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if isa(varargin{i},'sdpvar')
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isasdpvar(i) = 1;
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n(i)=varargin{i}.dim(1);
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m(i)=varargin{i}.dim(2);
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else
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[n(i) m(i)] = size(varargin{i});
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end
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end
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% Find all free variables used
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all_lmi_variables = [];
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for i = 1:length(varargin)
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all_lmi_variables = [all_lmi_variables getvariables(varargin{i})];
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end
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all_lmi_variables = unique(all_lmi_variables);
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% Create an SDPVAR
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y=sdpvar(1,1,'rect',all_lmi_variables,[]);
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% Some indexation tricks
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msums = cumsum([0; m]);
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nsums = cumsum([0; n]);
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summ=sum(m);
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sumn=sum(n);
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indextable = reshape(1:sumn*summ,sumn,summ);
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is = [];
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js = [];
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ss = [];
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for j = 1:length(varargin)
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nnindex = indextable(1+nsums(j):nsums(j+1),1+msums(j):msums(j+1));
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if isasdpvar(j)
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this_uses = find(ismembc(all_lmi_variables,varargin{j}.lmi_variables));
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mindex = [1 this_uses+1];
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[a,b,d] = find(varargin{j}.basis.');
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is = [is(:);reshape(mindex(a),[],1)];
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js = [js(:);reshape(nnindex(b),[],1)];
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ss = [ss(:);d(:)];
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else
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[a,b,d] = find( varargin{j}(:).');
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is = [is;ones(length(a),1)];
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js = [js;reshape(nnindex(b),[],1)];
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ss = [ss(:);d(:)];
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end
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end
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y.basis = sparse(js,is,ss,sum(m)*sum(n),1+length(all_lmi_variables));
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y.dim(1) = sumn;
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y.dim(2) = summ;
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% Reset info about conic terms
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y.conicinfo = [0 0];
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y = unfactor(y);
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% Update the factors
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doublehere = 0;
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for i = 1:length(varargin)
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if isa(varargin{i},'sdpvar')
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if length(varargin{i}.leftfactors)==0
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y = flush(y);
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return
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end
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for j = 1:length(varargin{i}.leftfactors)
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y.rightfactors{end+1} = [zeros(size(varargin{i}.rightfactors{j},1),sum(m(1:1:i-1))) varargin{i}.rightfactors{j} zeros(size(varargin{i}.rightfactors{j},1),sum(m(i+1:1:end)))];
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y.leftfactors{end+1} = [zeros(sum(n(1:1:i-1)),size(varargin{i}.leftfactors{j},2)); varargin{i}.leftfactors{j}; zeros(sum(n(i+1:1:end)),size(varargin{i}.leftfactors{j},2))];
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y.midfactors{end+1} = varargin{i}.midfactors{j};
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end
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elseif isnumeric(varargin{i})
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here = length(y.midfactors)+1;
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y.rightfactors{here} = [zeros(m(i),sum(m(1:1:i-1))) eye(m(i)) zeros(m(i),sum(m(i+1:1:end)))];
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y.leftfactors{here} = [zeros(sum(n(1:1:i-1)),size(varargin{i},1)); eye(size(varargin{i},1)); zeros(sum(n(i+1:1:end)),size(varargin{i},1))];
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y.midfactors{here} = varargin{i};
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end
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end
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y = cleandoublefactors(y);
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