set fmincon precision in matlab

You can set the precision of fmincon in Matlab by setting the OptimalityTolerance option. This parameter sets the tolerance for the convergence of the algorithm, and therefore controls the precision of the solution.

The default value of OptimalityTolerance is 1e-6, which should work for most applications. However, you may need to adjust this value if you require higher or lower precision.

To set the OptimalityTolerance to a different value, you can add an option to the call to fmincon, like this:

main.m
options = optimoptions('fmincon', 'OptimalityTolerance', 1e-8);
x = fmincon(fun, x0, A, b, Aeq, beq, lb, ub, nonlcon, options);
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In this example, we create an options object using the optimoptions function, and set the OptimalityTolerance to 1e-8. We then pass this object as the last argument to fmincon.

Note that setting a smaller value for OptimalityTolerance may result in longer computation time, as the algorithm has to work harder to find a more precise solution. Conversely, setting a larger value may result in a less precise solution.