I have encountered a problem that I have no idea how to solve it.
Consider two Monte Carlo algorithms, called A and B, which both solve the same problem.
A is biased and correct t, while B is biased and correct z.
Show that you can combine A and B to get a Las Vegas algorithm to solve the same problem.
Also, how could I find the best value for R, which is the probability that the Las Vegas algorithm will find the right answer? For this second part, how could I find this fictitious value of R without concrete example or dataset, this question seems completely outside the left field.
Thank you for your time :]