Randomized algorithms can offer several advantages over deterministic algorithms, which always produce the same output or follow the same steps for a given input. For instance, they can be simpler ...

A randomized algorithm is an algorithm that makes some decisions based on the outcome of a random process, such as tossing a coin, drawing a card, or generating a random number. A randomized ...

Randomized algorithms make random decisions rather than deterministic ... Define a domain of possible inputs Generate inputs randomly from a probability distribution over the domain 3. Perform a ...

Computer scientists consider the second possibility very unlikely. In fact, computer scientists often find it easier to develop a deterministic algorithm by starting with a randomized version and then ...

Randomized algorithms are another powerful and widely used approach to tackle problems for which efficient deterministic algorithms are not known. The course will cover the fundamentals on the design ...

Abstract: Over the past 30 years numerous algorithms ... For most problems the best randomized algorithm is at least exponentially faster than the best deterministic algorithm. We prove that these ...

One of the central themes in the theory of computation is to understand the power of randomness, that is, whether all problems with an efficient randomized algorithm also have a deterministic ... That ...

Abstract: We describe a deterministic and a randomized distributed algorithm for computing a spanning tree over a wireless network whose weight approximates the weight of a Minimum Spanning Tree (MST) ...

Based on this, the dominant methods in practice are based on either heuristics or local optimization algorithms, producing sub- optimal ... In this talk, we propose a new training framework with ...