# Difference between revisions of "Chapter 6"

Jump to navigation
Jump to search

Line 23: | Line 23: | ||

===Hashing=== | ===Hashing=== | ||

− | :[[6.5]] | + | :[[6.5]]. An all-Beatles radio station plays nothing but recordings by the Beatles, selecting the next song at random (uniformly with replacement). They get through about ten songs per hour. I listened for 90 minutes before hearing a repeated song. Estimate how many songs the Beatles recorded. |

+ | [[6.5|Solution]] | ||

− | :6.6 | + | :6.6. Given strings <math>S</math> and <math>T</math> of length <math>n</math> and <math>m</math> respectively, find the shortest window in <math>S</math> that contains all the characters in <math>T</math> in expected <math>O(n + m)</math> time. |

− | :[[6.7]] | + | :[[6.7]]. Design and implement an efficient data structure to maintain a ''least recently used'' (LRU) cache of <math>n</math> integer elements. A LRU cache will discard the least recently accessed element once the cache has reached its capacity, supporting the following operations: |

− | + | :• ''get(k)''– Return the value associated with the key <math>k</math> if it currently exists in the cache, otherwise return -1. | |

+ | :• ''put(k,v)'' – Set the value associated with key <math>k</math> to <math>v</math>, or insert if <math>k</math> is not already present. If there are already <math>n</math> items in the queue, delete the least recently used item before inserting <math>(k, v)</math>. Both operations should be done in <math>O(1)</math> expected time. | ||

+ | [[6.7|Solution]] | ||

===Randomized Algorithms=== | ===Randomized Algorithms=== |

## Revision as of 17:57, 14 September 2020

# Hashing and Randomized Algorithms

### Probability

- 6.1. You are given unbiased coins, and perform the following process to generate all heads. Toss all coins independently at random onto a table. Each round consists of picking up all the tails-up coins and tossing them onto the table again. You repeat until all coins are heads.
- (a) What is the expected number of rounds performed by the process?
- (b) What is the expected number of coin tosses performed by the process?

- 6.2. Suppose we flip coins each of known bias, such that is the probability of the th coin being a head. Present an efficient algorithm to determine the exact probability of getting exactly heads given .

- 6.3. An inversion of a permutation is a pair of elements that are out of order.
- (a) Show that a permutation of items has at most inversions. Which permutation(s) have exactly n(n - 1)/2 inversions?
- (b) Let P be a permutation and be the reversal of this permutation. Show that and have a total of exactly inversions.
- (c) Use the previous result to argue that the expected number of inversions in a random permutation is .

- 6.4. A derangement is a permutation of such that no item is in its proper position, that is, for all . What is the probability that a random permutation is a derangement?

### Hashing

- 6.5. An all-Beatles radio station plays nothing but recordings by the Beatles, selecting the next song at random (uniformly with replacement). They get through about ten songs per hour. I listened for 90 minutes before hearing a repeated song. Estimate how many songs the Beatles recorded.

- 6.6. Given strings and of length and respectively, find the shortest window in that contains all the characters in in expected time.

- 6.7. Design and implement an efficient data structure to maintain a
*least recently used*(LRU) cache of integer elements. A LRU cache will discard the least recently accessed element once the cache has reached its capacity, supporting the following operations: - •
*get(k)*– Return the value associated with the key if it currently exists in the cache, otherwise return -1. - •
*put(k,v)*– Set the value associated with key to , or insert if is not already present. If there are already items in the queue, delete the least recently used item before inserting . Both operations should be done in expected time.

### Randomized Algorithms

- 6.8

- 6.10

- 6.12

Back to Chapter List