Welcome to an exciting journey through String Hashing, a powerful technique used in Computer Science! In this lesson, we'll learn about Rolling Hash, a variant of string hashing that's especially useful for processing large amounts of data. š
String Hashing is a method of converting strings into numbers (hashes) for efficient data processing. It helps in solving problems like pattern matching, frequency counting, and string compression.
Rolling Hash is a type of string hashing where the hash value of a string is updated incrementally as we move through the string. This is particularly useful when we need to find patterns within a large amount of data.
Hash Function A hash function is a mathematical operation that transforms a string into a fixed-length numerical value (hash).
Collision When two different strings produce the same hash value, we have a collision. To handle collisions, we can use techniques like chaining or open addressing.
Rolling Hash Function A rolling hash function updates the hash value incrementally as we move through the string. It's computed as:
hash(s[i]) = (hash(s[i-1]) * P + s[i]) % MHere, P and M are constants called the modulus and prime modulus respectively.
Here's a simple Python example of a rolling hash function:
def rolling_hash(s, P=256, M=1000000007):
hash_value = 0
for i in range(len(s)):
hash_value = (hash_value * P + ord(s[i])) % M
return hash_valueIn this code, ord() is a built-in Python function that returns the Unicode code point of a character.
Text Indexing Rolling hash can be used to create efficient data structures for full-text indexing in databases.
Pattern Matching Rolling hash can help us find patterns within large amounts of data quickly.
What does a rolling hash function update incrementally as we move through a string?
Stay tuned for more advanced examples and applications of Rolling Hash in the world of Computer Science! šÆ