Union of Disjoint Sets with at Most k Sets - Algorithm

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SUMMARY

The discussion focuses on implementing a union of disjoint sets algorithm with a maximum of k sets using a hash table for storage. The implementation utilizes ordered double hashing with primary and secondary hash functions, denoted as h1 and h2. The algorithm merges two trees by applying path compression and height reduction techniques, ensuring efficient union operations. A specific pointer union function is provided to facilitate the merging process based on the count of nodes in each tree.

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  • Understanding of disjoint set data structures
  • Familiarity with hash table implementations
  • Knowledge of path compression and height reduction techniques
  • Proficiency in algorithm design and analysis
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  • Research ordered double hashing techniques in hash tables
  • Study the implementation of path compression in union-find algorithms
  • Explore height reduction strategies for optimizing tree structures
  • Examine the performance implications of disjoint set operations
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Computer scientists, software engineers, and algorithm enthusiasts interested in advanced data structure implementations and optimization techniques for union-find operations.

evinda
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Hello! (Smirk)Consider an implementation of disjoint sets with union, where there can be at most $k$ disjoint sets.
The implementation uses a hash table $A[0.. \text{ max }-1]$ at which there are stored keys based on the method ordered double hashing.
Let $h1$ and $h2$ be the primary and the secondary hash function, respectively. $A$ contains the keys of the nodes of all of the above trees and also a pointer to the corresponding node for each of them.
I want to write an algorithm that takes as parameters the keys of two nodes and merges the upper trees to which the nodes belong (the nodes can belong to any upper trees, even at the same in which case it appears an appropriate message). At merging, we have to apply techniques of path compression and height reduction.How could we do this? (Thinking)
 
Last edited:
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This is the algorithm that merges two up trees, applying the technique of path compression:
Code:
pointer Union(S,T){
  if (S==NULL or T==NULL) return;
  if (S->count>=T->count){
      S->count=S->count+T->count;
      T->parent=S;
      return S;
  }
  else {
      T->count=T->count+S->count;
      S->parent=T;
      return T;
  }
}
 
Last edited:
What do we have to do in this case, where we have a hash table? (Thinking)
 

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