Kas saaksite selgitada topelt-hashimise meetodi põhimõtet kolitsioonide lahendamiseks hash-tabelites?
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Vastus AI-lt
Double hashing method is a way to resolve collisions in hash tables, where upon collision, a second hash is computed, and the next index for searching the element is determined using this second hash.
Idea:
-
There are two hash functions:
h1(key)andh2(key). -
When inserting or searching for an element, first compute
h1(key)— the initial index. -
If the position is occupied (collision), the next index is calculated by the formula:
index = (h1(key) + i * h2(key)) mod table_size, whereiis the attempt number (0,1,2,...)
This allows avoiding collisions by moving through the table with a step dependent on the key, reducing clustering compared to linear probing.
Example in Go:
func doubleHashing(key int, i int, tableSize int) int {
h1 := key % tableSize
h2 := 1 + (key % (tableSize - 1))
return (h1 + i*h2) % tableSize
}
Here, h2 is always non-zero and guarantees that we will traverse the entire table if needed.