# How can I call multiple M functions?

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Waseem AL Aqqad 2020 年 11 月 27 日
コメント済み: Waseem AL Aqqad 2020 年 11 月 27 日
Hello guys,
I'm trying to run the function "WattsStrogatz" 100 times and in each iteration I want to run the function "Test_Healing" 300 times, kindly see the attached screenshots. When I run my script, MATLAB says that variable G is not defined. Could you please teach me how to do it.
Thanks!
function fos=Test_Healing(Nodes,k)
% Generating a spanning tree graph from Small World architecture
%G = WattsStrogatz(Nodes,2,.25);
%Nodes=100;
E=G.Edges{:,:};
%figure;
%p = plot(G);
[T,Pred]=minspantree(G);
Ea=T.Edges{:,:};
%highlight(p,T);
%figure;
%pt=plot(T);
Ed=E;
[ia, ib] = ismember(Ed, Ea, 'rows'); %E-Ea, Ed here is E
Ed(ia, :) = []; %Dormant Edges
edge=randperm(Nodes-1,k);
Tf=rmedge(T,edge);
%figure;
%Pf=plot(Tf);
% Egf(:,3)=[];
Egf=Tf.Edges{:,:};
Ef=Ea;
E_fail=[]; %Constructing Efail i.e. contains all isolated edges
[iu, iv] = ismember(Ef, Egf, 'rows'); %E-Ea, Ef here is Ea
Ef(iu, :) = []; % first failed Edge
E_fail=Ef;
[bins,binsizes]=conncomp(Tf);% no. of nodes in each component
Components=length(binsizes);%no of components in the graph after the failure happens
idx_u=find(bins~=1);%Unserved Nodes (U)
idx=find(bins==1);% V'=V-U
eff=ismember(Ea,idx_u);
E_fail=vertcat(E_fail,Ea(eff(:,1),:)); % Now all fail edges are in E_fail (Ef like in paper)
%%%%%%%%%%%%%%%%%% Algorithm %%%%%%%%%%%%%%%%%%
% Ea'=Ea=Ef
Ea_prime=Ea;
[ix, iy]=ismember(Ea_prime,E_fail,'rows');
Ea_prime(ix,:)=[];
% Ed'=Ed-Ef
Ed_prime=Ed;
[ixd iyd]=ismember(Ed_prime,E_fail,'rows');
Ed_prime(ixd,:)=[];
U=idx_u;
idxx=idx;
loopCounter = 1
while ~isempty(U)
for jj=length(U):-1:1
a=neighbors(G,idx_u(jj));
[nx ny]=ismember( a,neighbors(T,idx_u(jj)),'rows');
a(nx,:)=[];
if numel(a)==1
av=a;
elseif isempty(a)
break
else
av=randsample(a,1);
end
if ~isempty(a)
idxx(end+1)=idx_u(jj); %V'=V'+{v}
U(idx_u==idx_u(jj))=[]; %U=U-{v}
Ea_prime=vertcat(Ea_prime,[idx_u(jj) av]);
end
end
if loopCounter >100
break;
end
loopCounter = loopCounter + 1;
end
fos=(numel(idxx)/Nodes); %Resiliency Metric
end
Script:
for i=1:100
G= WattsStrogatz(400,2,0.25);
k=1:300;
fos=zeros(1,length(k));
for jj=1:length(k)
fos(jj)=Test_Healing(400,jj);
end
rs(i,:)=fos;
end
rs_avg=mean(rs,1);
figure;
plot(k,rs_avg)
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Waseem AL Aqqad 2020 年 11 月 27 日
I applogize.

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### 採用された回答

Walter Roberson 2020 年 11 月 27 日
for i=1:100
G= WattsStrogatz(400,2,0.25);
k=1:300;
fos=zeros(1,length(k));
for jj=1:length(k)
fos(jj) = Test_Healing(G,jj); %CHANGED
end
rs(i,:)=fos;
end
rs_avg=mean(rs,1);
figure;
plot(k,rs_avg)
function fos=Test_Healing(G,k) %CHANGED
E=G.Edges{:,:};
[T,Pred]=minspantree(G);
Ea=T.Edges{:,:};
Ed=E;
[ia, ib] = ismember(Ed, Ea, 'rows'); %E-Ea, Ed here is E
Ed(ia, :) = []; %Dormant Edges
edge=randperm(Nodes-1,k);
Tf=rmedge(T,edge);
Egf=Tf.Edges{:,:};
Ef=Ea;
E_fail=[]; %Constructing Efail i.e. contains all isolated edges
[iu, iv] = ismember(Ef, Egf, 'rows'); %E-Ea, Ef here is Ea
Ef(iu, :) = []; % first failed Edge
E_fail=Ef;
[bins,binsizes]=conncomp(Tf);% no. of nodes in each component
Components=length(binsizes);%no of components in the graph after the failure happens
idx_u=find(bins~=1);%Unserved Nodes (U)
idx=find(bins==1);% V'=V-U
eff=ismember(Ea,idx_u);
E_fail=vertcat(E_fail,Ea(eff(:,1),:)); % Now all fail edges are in E_fail (Ef like in paper)
%%%%%%%%%%%%%%%%%% Algorithm %%%%%%%%%%%%%%%%%%
% Ea'=Ea=Ef
Ea_prime=Ea;
[ix, iy]=ismember(Ea_prime,E_fail,'rows');
Ea_prime(ix,:)=[];
% Ed'=Ed-Ef
Ed_prime=Ed;
[ixd iyd]=ismember(Ed_prime,E_fail,'rows');
Ed_prime(ixd,:)=[];
U=idx_u;
idxx=idx;
loopCounter = 1
while ~isempty(U)
for jj=length(U):-1:1
a=neighbors(G,idx_u(jj));
[nx ny]=ismember( a,neighbors(T,idx_u(jj)),'rows');
a(nx,:)=[];
if numel(a)==1
av=a;
elseif isempty(a)
break
else
av=randsample(a,1);
end
if ~isempty(a)
idxx(end+1)=idx_u(jj); %V'=V'+{v}
U(idx_u==idx_u(jj))=[]; %U=U-{v}
Ea_prime=vertcat(Ea_prime,[idx_u(jj) av]);
end
end
if loopCounter >100
break;
end
loopCounter = loopCounter + 1;
end
fos=(numel(idxx)/Nodes); %Resiliency Metric
end
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Waseem AL Aqqad 2020 年 11 月 27 日
Thank you very much, Walter!

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