It always produces the same output for a given input.

It relies on randomness to make decisions during its execution.

It guarantees an optimal solution to a problem.

It has a fixed running time regardless of the input.

Dijkstra's algorithm for finding the shortest path in a graph

Bubble sort for sorting an array of numbers

Monte Carlo simulation for estimating the value of an integral

Binary search for finding an element in a sorted array

They always produce the correct answer.

They are more efficient than deterministic algorithms.

They can solve problems that deterministic algorithms cannot.

They are easier to implement than deterministic algorithms.

They are always less efficient than deterministic algorithms.

They can produce incorrect answers.

They are difficult to implement.

They require a lot of memory.

An algorithm that always produces the correct answer.

An algorithm that always runs in polynomial time.

An algorithm that can produce incorrect answers but always terminates.

An algorithm that can run in exponential time.

An algorithm that always produces the correct answer.

An algorithm that always runs in polynomial time.

An algorithm that can produce incorrect answers but always terminates.

An algorithm that can run in exponential time.

Las Vegas algorithms always produce the correct answer, while Monte Carlo algorithms can produce incorrect answers.

Las Vegas algorithms always run in polynomial time, while Monte Carlo algorithms can run in exponential time.

Las Vegas algorithms can produce incorrect answers, while Monte Carlo algorithms always produce the correct answer.

Las Vegas algorithms can run in exponential time, while Monte Carlo algorithms always run in polynomial time.

The probability that two people in a group of 23 or more people have the same birthday is greater than 50%.

The probability that two people in a group of 23 or more people have the same birthday is less than 50%.

The probability that two people in a group of 23 or more people have the same birthday is exactly 50%.

The probability that two people in a group of 23 or more people have the same birthday is unknown.

The problem of determining the probability that a gambler will eventually lose all of their money.

The problem of determining the probability that a gambler will eventually win all of their money.

The problem of determining the probability that a gambler will break even.

The problem of determining the probability that a gambler will win more money than they lose.

The problem of determining the expected number of coupons that a collector needs to collect in order to obtain a complete set.

The problem of determining the probability that a collector will obtain a complete set of coupons after collecting a certain number of coupons.

The problem of determining the probability that a collector will obtain a complete set of coupons before collecting a certain number of coupons.

The problem of determining the probability that a collector will never obtain a complete set of coupons.