Which of the following data structures can be efficiently implemented using Double Hashing?OptionsHash tablesLinked listsArraysBinary trees

Step 1: Break Down the Problem

The given question asks which data structure can be efficiently implemented using Double Hashing. To answer this, we need to understand what Double Hashing is and how it can be applied.

Step 2: Relevant Concepts

Double Hashing is a collision resolution technique used in hash tables. It involves using two hash functions to determine the next slot in the hash table when a collision occurs. The main structure associated with Double Hashing is the hash table itself.

Step 3: Analysis and Detail

1. Hash Tables: Double Hashing is specifically designed for use with hash tables to resolve collisions. It is particularly useful when handling insertions and lookups, allowing for more efficient operations compared to linear probing or chaining methods.

2. Linked Lists: Linked lists do not use hash functions to access their elements and are not suited for Double Hashing.

3. Arrays: While arrays are foundational data structures, they don't involve hash functions or collision resolution concepts like Double Hashing.

4. Binary Trees: Binary trees organize data hierarchically and do not apply hashing techniques directly in their structure.

Step 4: Verify and Summarize

The only data structure that can be efficiently implemented using Double Hashing is hash tables, as this collision resolution method is specifically designed for hash-based indexing.

Final Answer

Hash tables can be efficiently implemented using Double Hashing.