# Example

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## Example

Let us now turn our attention to an example of using Gurobi to solve a simple MIP model. Our example optimizes the following model:

 maximize x + y + 2 z subject to x + 2 y + 3 z 4 x + y 1 x, y, z binary
Note that this is the same model that was modeled and optimized in the C Interface section.

This is the complete source code for our example (also available in <installdir>/examples/matlab/mip1.m)...

names = {'x'; 'y'; 'z'};

try
clear model;
model.A = sparse([1 2 3; 1 1 0]);
model.obj = [1 1 2];
model.rhs = [4; 1];
model.sense = '<>';
model.vtype = 'B';
model.modelsense = 'max';

clear params;
params.outputflag = 0;
params.resultfile = 'mip1.lp';

result = gurobi(model, params);

disp(result)

for v=1:length(names)
fprintf('%s %d\n', names{v}, result.x(v));
end

fprintf('Obj: %e\n', result.objval);

catch gurobiError
fprintf('Error reported\n');
end