Computational Theory Questions
The concept of randomized algorithms involves the use of randomness or probability in the design and execution of algorithms. These algorithms make use of random numbers or random choices to solve computational problems. The randomness is introduced to improve the efficiency or effectiveness of the algorithm, or to handle problems that are inherently probabilistic in nature. Randomized algorithms are often used in situations where deterministic algorithms may be too time-consuming or impractical. They provide a trade-off between time complexity and accuracy, and are particularly useful in areas such as cryptography, optimization, and machine learning.