How to run bayesopt with several pre-computed initial values?

I would like to minimize an n-dimentional function using Bayesian optimization. But I need to take advantage of several known values of this function at some coordinates. Is there a way to run bayesopt with several pre-computed initial values? I know that there is resume function. But it requires to pass the output structure from a previous bayesop run. Thanks!

[Shimul Dam]

Check 'InitialX' and 'InitialObjective' in https://www.mathworks.com/help/stats/bayesopt.html