# roulette_simulation

roulette_simulation, a MATLAB code which simulates the spinning of a roulette wheel and the evaluation of certain common roulette bets.

A fair wheel would have 36 pockets; a European wheel has an extra "0" pocket, while a Las Vegas wheel has "0" and "00" pockets. Pockets "0" and "00" are in general losers for the player. Players can bet on a single number, red or black, odd or even, low or high, column 1, 2 or 3, or more complicated bets. The payoffs are computed as though there were no 0 pockets, so this gives the house a considerable edge.

### Languages:

roulette_simulation is available in a MATLAB version.

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### Source Code:

• bet_black.m, returns the pockets involved in a bet on black.
• bet_column1.m, returns the pockets involved in a bet on column 1.
• bet_column2.m, returns the pockets involved in a bet on column 2.
• bet_column3.m, returns the pockets involved in a bet on column3.
• bet_even.m, returns the pockets involved in a bet on even.
• bet_high.m, returns the pockets involved in a bet on high.
• bet_low.m, returns the pockets involved in a bet on low.
• bet_low.m, returns the pockets involved in a bet on low.
• bet_red.m, returns the pockets involved in a bet on red.
• i4vec_print.m, prints an I4VEC.
• i4vec_sorted_unique_hist.m, given a sorted list of integers, returns the number of unique values, the unique values, and the frequency with which each value occurred.
• i4vec_uniform_ab.m, returns a pseudorandom I4VEC in a given range;
• i4vec2_print.m, prints a pair of I4VECs.
• roulette_result.m, returns the result of N spins of a roulette wheel.
• roulette_value.m, given the result of N spins of a roulette wheel, the size of the user's bet, and the number of pockets bet, returns the value of each spin.

Last revised on 07 March 2019.