Page 109 - Data Structures Handout_Neat
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Comparison of Collision Resolution Methods

                       •  Chaining: Simple, flexible, but requires extra memory for lists.
                       •  Linear Probing: Easy to implement, but clustering can occur.

                       •  Quadratic Probing: Reduces clustering but may leave unused slots.

                       •  Double Hashing: Best distribution but requires two good hash functions.



                9.5    Performance Analysis

                       The efficiency of a hash table depends on how well the hash function distributes keys

               and  how  collisions  are  resolved.  Performance  is  typically  measured  in  terms  of  time

               complexity for insertion, deletion, and search operations. While hash tables are designed to
               provide  constant-time  average  performance  (  (1)),  collisions  can  degrade  performance,

               especially if the table becomes too full or the hash function is poor.


                         9.5.1  Load Factor and Efficiency


                       The load factor (  ) is defined as:
                                                                
                                                            =
                                                                

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