Bitwise Operators
... Queues • First in, first out data structure. • “Insert” and “Remove” operations. ...
... Queues • First in, first out data structure. • “Insert” and “Remove” operations. ...
Data Structures (810:052) Lecture 20 Name:_________________
... 3. Unfortunately, perfect hash functions are a rarity, so in general two or more target values might get mapped to the same hash-table index, called a collision. Collisions are handled by two approaches: chaining, closed-address, or external chaining: all target values hashed to the same home addr ...
... 3. Unfortunately, perfect hash functions are a rarity, so in general two or more target values might get mapped to the same hash-table index, called a collision. Collisions are handled by two approaches: chaining, closed-address, or external chaining: all target values hashed to the same home addr ...
Untersuchungen zur MAC Address Translation (MAT)
... Packet Classification and Hash Functions Packet Classification Problem: In huge rule sets a search takes much time and/or demands huge memories Hash functions have a search complexity of ideally O(1) and memory demand of O(N) Problem when using (hardware) hash functions: High performance fo ...
... Packet Classification and Hash Functions Packet Classification Problem: In huge rule sets a search takes much time and/or demands huge memories Hash functions have a search complexity of ideally O(1) and memory demand of O(N) Problem when using (hardware) hash functions: High performance fo ...
Hash Table
... • A hash function transforms a key (k) into a table address (0…m-1) • What makes a good hash function? (1) Easy to compute (2) Approximates a random function: for every input, every output is ...
... • A hash function transforms a key (k) into a table address (0…m-1) • What makes a good hash function? (1) Easy to compute (2) Approximates a random function: for every input, every output is ...
Trees
... Efficient data structure to implement search, delete and insert operations. Two main possibilities: ...
... Efficient data structure to implement search, delete and insert operations. Two main possibilities: ...
投影片 1 - CSIE -NCKU
... Network applications such as IP traceback , route lookup, TCP flow state monitoring, and malware detection often require large data storage resources, fast queries, and frequent updates. Hash tables are traditional data structures that allow large amounts of data to be stored, queried, and updated ...
... Network applications such as IP traceback , route lookup, TCP flow state monitoring, and malware detection often require large data storage resources, fast queries, and frequent updates. Hash tables are traditional data structures that allow large amounts of data to be stored, queried, and updated ...
CSC 2500 Computer Organization
... Another data structure could be used to resolve the collisions; for example, binary search trees. Why do we use linked lists instead? We define the load factor, λ, of a hash table to be the ratio of the number of elements in the table to the table size. The average length of a list is λ. The effort ...
... Another data structure could be used to resolve the collisions; for example, binary search trees. Why do we use linked lists instead? We define the load factor, λ, of a hash table to be the ratio of the number of elements in the table to the table size. The average length of a list is λ. The effort ...
Hash Table - Touque.ca
... If we want to assign an ID to each student name, we could use their student number. However, if the greatest student number is “351000005”, there would be 351,000,005 elements in the array. This is a lot more than what is required to store the names of 500 students. ...
... If we want to assign an ID to each student name, we could use their student number. However, if the greatest student number is “351000005”, there would be 351,000,005 elements in the array. This is a lot more than what is required to store the names of 500 students. ...
6.851 Advanced Data Structures (Spring`07)
... 1-universal. Deterministic y-fast tries. Suppose you have a dynamic perfect hash function h such that: • h is constructible in deterministic linear time; • h(x) can be evaluated in O(1) worst case, deterministic time; • insertions and deletions take O(lg5 u) worst case time; Use h to modify the y-fa ...
... 1-universal. Deterministic y-fast tries. Suppose you have a dynamic perfect hash function h such that: • h is constructible in deterministic linear time; • h(x) can be evaluated in O(1) worst case, deterministic time; • insertions and deletions take O(lg5 u) worst case time; Use h to modify the y-fa ...
Homework 1
... Repeat the above calculations when we randomly throw n log n balls into n bins. §2 The simplest model for a random graph consists of n vertices, and tossing a random fair coin for each pair {i, j} to decide whether this edge should be present in the graph. For each k compute the expected number of k ...
... Repeat the above calculations when we randomly throw n log n balls into n bins. §2 The simplest model for a random graph consists of n vertices, and tossing a random fair coin for each pair {i, j} to decide whether this edge should be present in the graph. For each k compute the expected number of k ...
Rainbow table
A rainbow table is a precomputed table for reversing cryptographic hash functions, usually for cracking password hashes. Tables are usually used in recovering a plaintext password up to a certain length consisting of a limited set of characters. It is a practical example of a space/time trade-off, using less computer processing time and more storage than a brute-force attack which calculates a hash on every attempt, but more processing time and less storage than a simple lookup table with one entry per hash. Use of a key derivation function that employs a salt makes this attack infeasible.Rainbow tables are an application of an earlier, simpler algorithm by Martin Hellman.