How to convert MATLAB code to C++ code?

How do I convert my MATLAB code to a C++ code?

Answer 1

[Ameer Hamza]

You will need MATLAB Coder to perform the conversion. If it is already installed, you can use MATLAB coder app under Apps tab in MATLAB. It will guide you through steps to generate C or C++ code.

[PatrizioGraziosi]

Hi Ameer,

thanks for the answer.

There are mainly two reasons, as far as I see, to port a code from MATLAB to C++:

1) to speed it up by using it inside MATLAB environment,

2) to use it outside MATLAB, without having MATLAB installed.

MATLAB Coder should work for the first, does it work also for the second?

I don' t have any experience in this task but I'm going to face this challenge with a big code (tens of thousands of MATLAB code lines in many files) in the forthcoming months.

Thanks in advance

Patrizio

[Ameer Hamza]

Yes, you can use the generated C/C++ code in external projects without the need to have MATLAB installed. See here: https://www.mathworks.com/help/coder/deployment.html?s_tid=CRUX_lftnav, also check this example: https://www.mathworks.com/help/coder/ug/generate-and-modify-an-example-cc-main-function.html.

[PatrizioGraziosi]

Hi Ameer,

thank you!

the C code generated in this way can be used in any platform, while the mex files called in matlab are sensitive to the operating system, isn't it?

Thank

Patrizio

[Ameer Hamza]

Yes, mex files are platform specific. I think that the generated C code should work on other platforms too, but I am not entirely sure.

Answer 2

[Ahmad Nadeem]

I want to Change MATLAB code to C++ can anyone tell me how can I convert this? I am working on phase field simulation

[Raghu Boggavarapu]

As mentioned above, please use MATLAB Coder - MATLAB (mathworks.com) for the purpose.

Answer 3

[Raghu Boggavarapu]

Use MATLAB Coder to convert your MATLAB Code into C/C++

Answer 4

[Israa Alhuniti]

function [Top_predator_fit,Top_predator_pos,Convergence_curve]=MPA(SearchAgents_no,Max_iter,lb,ub,dim,fobj)

Top_predator_pos=zeros(1,dim);

Top_predator_fit=inf;

Convergence_curve=zeros(1,Max_iter);

stepsize=zeros(SearchAgents_no,dim);

fitness=inf(SearchAgents_no,1);

Prey=initialization(SearchAgents_no,dim,ub,lb);

Xmin=repmat(ones(1,dim).*lb,SearchAgents_no,1);

Xmax=repmat(ones(1,dim).*ub,SearchAgents_no,1);

Iter=0;

FADs=0.2;

P=0.5;

while Iter<Max_iter

%------------------- Detecting top predator -----------------

for i=1:size(Prey,1)

Flag4ub=Prey(i,:)>ub;

Flag4lb=Prey(i,:)<lb;

Prey(i,:)=(Prey(i,:).*(~(Flag4ub+Flag4lb)))+ub.*Flag4ub+lb.*Flag4lb;

fitness(i,1)=fobj(Prey(i,:));

if fitness(i,1)<Top_predator_fit

Top_predator_fit=fitness(i,1);

Top_predator_pos=Prey(i,:);

end

end

%------------------- Marine Memory saving -------------------

if Iter==0

fit_old=fitness; Prey_old=Prey;

end

Inx=(fit_old<fitness);

Indx=repmat(Inx,1,dim);

Prey=Indx.*Prey_old+~Indx.*Prey;

fitness=Inx.*fit_old+~Inx.*fitness;

fit_old=fitness; Prey_old=Prey;

%------------------------------------------------------------

Elite=repmat(Top_predator_pos,SearchAgents_no,1); %(Eq. 10)

CF=(1-Iter/Max_iter)^(2*Iter/Max_iter);

RL=0.05*levy(SearchAgents_no,dim,1.5); %Levy random number vector

RB=randn(SearchAgents_no,dim); %Brownian random number vector

for i=1:size(Prey,1)

for j=1:size(Prey,2)

R=rand();

%------------------ Phase 1 (Eq.12) -------------------

if Iter<Max_iter/3

stepsize(i,j)=RB(i,j)*(Elite(i,j)-RB(i,j)*Prey(i,j));

Prey(i,j)=Prey(i,j)+P*R*stepsize(i,j);

%--------------- Phase 2 (Eqs. 13 & 14)----------------

elseif Iter>Max_iter/3 && Iter<2*Max_iter/3

if i>size(Prey,1)/2

stepsize(i,j)=RB(i,j)*(RB(i,j)*Elite(i,j)-Prey(i,j));

Prey(i,j)=Elite(i,j)+P*CF*stepsize(i,j);

else

stepsize(i,j)=RL(i,j)*(Elite(i,j)-RL(i,j)*Prey(i,j));

Prey(i,j)=Prey(i,j)+P*R*stepsize(i,j);

end

else

stepsize(i,j)=RL(i,j)*(RL(i,j)*Elite(i,j)-Prey(i,j));

Prey(i,j)=Elite(i,j)+P*CF*stepsize(i,j);

end

end

end

for i=1:size(Prey,1)

Flag4ub=Prey(i,:)>ub;

Flag4lb=Prey(i,:)<lb;

Prey(i,:)=(Prey(i,:).*(~(Flag4ub+Flag4lb)))+ub.*Flag4ub+lb.*Flag4lb;

fitness(i,1)=fobj(Prey(i,:));

if fitness(i,1)<Top_predator_fit

Top_predator_fit=fitness(i,1);

Top_predator_pos=Prey(i,:);

end

end

if Iter==0

fit_old=fitness; Prey_old=Prey;

end

Inx=(fit_old<fitness);

Indx=repmat(Inx,1,dim);

Prey=Indx.*Prey_old+~Indx.*Prey;

fitness=Inx.*fit_old+~Inx.*fitness;

fit_old=fitness; Prey_old=Prey;

if rand()<FADs

U=rand(SearchAgents_no,dim)<FADs;

Prey=Prey+CF*((Xmin+rand(SearchAgents_no,dim).*(Xmax-Xmin)).*U);

else

r=rand(); Rs=size(Prey,1);

stepsize=(FADs*(1-r)+r)*(Prey(randperm(Rs),:)-Prey(randperm(Rs),:));

Prey=Prey+stepsize;

end

Iter=Iter+1;

Convergence_curve(Iter)=Top_predator_fit;

end