Quadratic probing - Wikipedia, the free encyclopedia


Quadratic probing - Wikipedia, the free encyclopedia
Quadratic probing operates by taking the original hash index and adding successive values of an arbitrary quadratic polynomial until an open slot is found.
For a given hash value, the indices generated by linear probing are as follows:
H + 1 , H + 2 , H + 3 , H + 4 , ... , H + k
This method results in primary clustering, and as the cluster grows larger, the search for those items hashing within the cluster becomes less efficient.
An example sequence using quadratic probing is:
H + 1^2 , H + 2^2 , H + 3^2 , H + 4^2 , ... , H + k^2
Quadratic probing can be a more efficient algorithm in a closed hash table, since it better avoids the clustering problem that can occur with linear probing, although it is not immune. It also provides good memory caching because it preserves some locality of reference; however, linear probing has greater locality and, thus, better cache performance.

 1. Get the key k
 2. Set counter j = 0
 3. Compute hash function h[k] = k % SIZE
 4. If hashtable[h[k]] is empty
         (4.1) Insert key k at hashtable[h[k]]
         (4.2) Stop
    Else
        (4.3) The key space at hashtable[h[k]] is occupied, so we need to find the next available key space
        (4.4) Increment j
        (4.5) Compute new hash function h[k] = ( k + j * j ) % SIZE
        (4.6) Repeat Step 4 till j is equal to the SIZE of hash table
 5. The hash table is full
 6. Stop
int quadratic_probing_insert(int *hashtable, int key, int *empty){
    /* hashtable[] is an integer hash table; empty[] is another array which indicates whether the key space is occupied;
       If an empty key space is found, the function returns the index of the bucket where the key is inserted, otherwise it 
       returns (-1) if no empty key space is found */

    int j = 0, hk;
    hk = key  % SIZE;
    while(j < SIZE) {
        if(empty[hk] == 1){
            hashtable[hk] = key;
            empty[hk] = 0;
            return (hk);
        }
        j++;
        hk = (key + j * j) % SIZE;
    }
    return (-1);
}

http://www.sanfoundry.com/java-program-implement-hash-tables-quadratic-probing/
  1. class QuadraticProbingHashTable
  2. {    
  3.     private int currentSize, maxSize;       
  4.     private String[] keys;   
  5.     private String[] vals;    
  6.  
  7.     /** Constructor **/
  8.     public QuadraticProbingHashTable(int capacity) 
  9.     {
  10.         currentSize = 0;
  11.         maxSize = capacity;
  12.         keys = new String[maxSize];
  13.         vals = new String[maxSize];
  14.     }  
  15.  
  16.     /** Function to clear hash table **/
  17.     public void makeEmpty()
  18.     {
  19.         currentSize = 0;
  20.         keys = new String[maxSize];
  21.         vals = new String[maxSize];
  22.     }
  23.     /** Function to check if hash table is full **/
  24.     public boolean isFull() 
  25.     {
  26.         return currentSize == maxSize;
  27.     }
  28.  
  29.     /** Function to check if hash table is empty **/
  30.     public boolean isEmpty() 
  31.     {
  32.         return getSize() == 0;
  33.     }
  34.  
  35.     /** Fucntion to check if hash table contains a key **/
  36.     public boolean contains(String key) 
  37.     {
  38.         return get(key) !=  null;
  39.     }
  40.  
  41.     /** Functiont to get hash code of a given key **/
  42.     private int hash(String key) 
  43.     {
  44.         return key.hashCode() % maxSize;
  45.     }    
  46.  
  47.     /** Function to insert key-value pair **/
  48.     public void insert(String key, String val) 
  49.     {                
  50.         int tmp = hash(key);
  51.         int i = tmp, h = 1;
  52.         do
  53.         {
  54.             if (keys[i] == null)
  55.             {
  56.                 keys[i] = key;
  57.                 vals[i] = val;
  58.                 currentSize++;
  59.                 return;
  60.             }
  61.             if (keys[i].equals(key)) 
  62.             { 
  63.                 vals[i] = val; 
  64.                 return; 
  65.             }            
  66.             i = (i + h * h++) % maxSize;            
  67.         } while (i != tmp);       
  68.     }
  69.  
  70.     /** Function to get value for a given key **/
  71.     public String get(String key) 
  72.     {
  73.         int i = hash(key), h = 1;
  74.         while (keys[i] != null)
  75.         {
  76.             if (keys[i].equals(key))
  77.                 return vals[i];
  78.             i = (i + h * h++) % maxSize;
  79.             System.out.println("i "+ i);
  80.         }            
  81.         return null;
  82.     }
  83.  
  84.     /** Function to remove key and its value **/
  85.     public void remove(String key) 
  86.     {
  87.         if (!contains(key)) 
  88.             return;
  89.  
  90.         /** find position key and delete **/
  91.         int i = hash(key), h = 1;
  92.         while (!key.equals(keys[i])) 
  93.             i = (i + h * h++) % maxSize;        
  94.         keys[i] = vals[i] = null;
  95.  
  96.         /** rehash all keys **/        
  97.         for (i = (i + h * h++) % maxSize; keys[i] != null; i = (i + h * h++) % maxSize)
  98.         {
  99.             String tmp1 = keys[i], tmp2 = vals[i];
  100.             keys[i] = vals[i] = null;
  101.             currentSize--;  
  102.             insert(tmp1, tmp2);            
  103.         }
  104.         currentSize--;        
  105.     }      
  106. }
http://users.cs.fiu.edu/~weiss/dsaajava2/code/QuadraticProbingHashTable.java
Read full article from Quadratic probing - Wikipedia, the free encyclopedia

Labels

LeetCode (1432) GeeksforGeeks (1122) LeetCode - Review (1067) Review (882) Algorithm (668) to-do (609) Classic Algorithm (270) Google Interview (237) Classic Interview (222) Dynamic Programming (220) DP (186) Bit Algorithms (145) POJ (141) Math (137) Tree (132) LeetCode - Phone (129) EPI (122) Cracking Coding Interview (119) DFS (115) Difficult Algorithm (115) Lintcode (115) Different Solutions (110) Smart Algorithm (104) Binary Search (96) BFS (91) HackerRank (90) Binary Tree (86) Hard (79) Two Pointers (78) Stack (76) Company-Facebook (75) BST (72) Graph Algorithm (72) Time Complexity (69) Greedy Algorithm (68) Interval (63) Company - Google (62) Geometry Algorithm (61) Interview Corner (61) LeetCode - Extended (61) Union-Find (60) Trie (58) Advanced Data Structure (56) List (56) Priority Queue (53) Codility (52) ComProGuide (50) LeetCode Hard (50) Matrix (50) Bisection (48) Segment Tree (48) Sliding Window (48) USACO (46) Space Optimization (45) Company-Airbnb (41) Greedy (41) Mathematical Algorithm (41) Tree - Post-Order (41) ACM-ICPC (40) Algorithm Interview (40) Data Structure Design (40) Graph (40) Backtracking (39) Data Structure (39) Jobdu (39) Random (39) Codeforces (38) Knapsack (38) LeetCode - DP (38) Recursive Algorithm (38) String Algorithm (38) TopCoder (38) Sort (37) Introduction to Algorithms (36) Pre-Sort (36) Beauty of Programming (35) Must Known (34) Binary Search Tree (33) Follow Up (33) prismoskills (33) Palindrome (32) Permutation (31) Array (30) Google Code Jam (30) HDU (30) Array O(N) (29) Logic Thinking (29) Monotonic Stack (29) Puzzles (29) Code - Detail (27) Company-Zenefits (27) Microsoft 100 - July (27) Queue (27) Binary Indexed Trees (26) TreeMap (26) to-do-must (26) 1point3acres (25) GeeksQuiz (25) Merge Sort (25) Reverse Thinking (25) hihocoder (25) Company - LinkedIn (24) Hash (24) High Frequency (24) Summary (24) Divide and Conquer (23) Proof (23) Game Theory (22) Topological Sort (22) Lintcode - Review (21) Tree - Modification (21) Algorithm Game (20) CareerCup (20) Company - Twitter (20) DFS + Review (20) DP - Relation (20) Brain Teaser (19) DP - Tree (19) Left and Right Array (19) O(N) (19) Sweep Line (19) UVA (19) DP - Bit Masking (18) LeetCode - Thinking (18) KMP (17) LeetCode - TODO (17) Probabilities (17) Simulation (17) String Search (17) Codercareer (16) Company-Uber (16) Iterator (16) Number (16) O(1) Space (16) Shortest Path (16) itint5 (16) DFS+Cache (15) Dijkstra (15) Euclidean GCD (15) Heap (15) LeetCode - Hard (15) Majority (15) Number Theory (15) Rolling Hash (15) Tree Traversal (15) Brute Force (14) Bucket Sort (14) DP - Knapsack (14) DP - Probability (14) Difficult (14) Fast Power Algorithm (14) Pattern (14) Prefix Sum (14) TreeSet (14) Algorithm Videos (13) Amazon Interview (13) Basic Algorithm (13) Codechef (13) Combination (13) Computational Geometry (13) DP - Digit (13) LCA (13) LeetCode - DFS (13) Linked List (13) Long Increasing Sequence(LIS) (13) Math-Divisible (13) Reservoir Sampling (13) mitbbs (13) Algorithm - How To (12) Company - Microsoft (12) DP - Interval (12) DP - Multiple Relation (12) DP - Relation Optimization (12) LeetCode - Classic (12) Level Order Traversal (12) Prime (12) Pruning (12) Reconstruct Tree (12) Thinking (12) X Sum (12) AOJ (11) Bit Mask (11) Company-Snapchat (11) DP - Space Optimization (11) Dequeue (11) Graph DFS (11) MinMax (11) Miscs (11) Princeton (11) Quick Sort (11) Stack - Tree (11) 尺取法 (11) 挑战程序设计竞赛 (11) Coin Change (10) DFS+Backtracking (10) Facebook Hacker Cup (10) Fast Slow Pointers (10) HackerRank Easy (10) Interval Tree (10) Limited Range (10) Matrix - Traverse (10) Monotone Queue (10) SPOJ (10) Starting Point (10) States (10) Stock (10) Theory (10) Tutorialhorizon (10) Kadane - Extended (9) Mathblog (9) Max-Min Flow (9) Maze (9) Median (9) O(32N) (9) Quick Select (9) Stack Overflow (9) System Design (9) Tree - Conversion (9) Use XOR (9) Book Notes (8) Company-Amazon (8) DFS+BFS (8) DP - States (8) Expression (8) Longest Common Subsequence(LCS) (8) One Pass (8) Quadtrees (8) Traversal Once (8) Trie - Suffix (8) 穷竭搜索 (8) Algorithm Problem List (7) All Sub (7) Catalan Number (7) Cycle (7) DP - Cases (7) Facebook Interview (7) Fibonacci Numbers (7) Flood fill (7) Game Nim (7) Graph BFS (7) HackerRank Difficult (7) Hackerearth (7) Inversion (7) Kadane’s Algorithm (7) Manacher (7) Morris Traversal (7) Multiple Data Structures (7) Normalized Key (7) O(XN) (7) Radix Sort (7) Recursion (7) Sampling (7) Suffix Array (7) Tech-Queries (7) Tree - Serialization (7) Tree DP (7) Trie - Bit (7) 蓝桥杯 (7) Algorithm - Brain Teaser (6) BFS - Priority Queue (6) BFS - Unusual (6) Classic Data Structure Impl (6) DP - 2D (6) DP - Monotone Queue (6) DP - Unusual (6) DP-Space Optimization (6) Dutch Flag (6) How To (6) Interviewstreet (6) Knapsack - MultiplePack (6) Local MinMax (6) MST (6) Minimum Spanning Tree (6) Number - Reach (6) Parentheses (6) Pre-Sum (6) Probability (6) Programming Pearls (6) Rabin-Karp (6) Reverse (6) Scan from right (6) Schedule (6) Stream (6) Subset Sum (6) TSP (6) Xpost (6) n00tc0d3r (6) reddit (6) AI (5) Abbreviation (5) Anagram (5) Art Of Programming-July (5) Assumption (5) Bellman Ford (5) Big Data (5) Code - Solid (5) Code Kata (5) Codility-lessons (5) Coding (5) Company - WMware (5) Convex Hull (5) Crazyforcode (5) DFS - Multiple (5) DFS+DP (5) DP - Multi-Dimension (5) DP-Multiple Relation (5) Eulerian Cycle (5) Graph - Unusual (5) Graph Cycle (5) Hash Strategy (5) Immutability (5) Java (5) LogN (5) Manhattan Distance (5) Matrix Chain Multiplication (5) N Queens (5) Pre-Sort: Index (5) Quick Partition (5) Quora (5) Randomized Algorithms (5) Resources (5) Robot (5) SPFA(Shortest Path Faster Algorithm) (5) Shuffle (5) Sieve of Eratosthenes (5) Strongly Connected Components (5) Subarray Sum (5) Sudoku (5) Suffix Tree (5) Swap (5) Threaded (5) Tree - Creation (5) Warshall Floyd (5) Word Search (5) jiuzhang (5)

Popular Posts