from high level and with a very few collisions, it's O(1).
there isn't much to prove because this is based on a common sense.
for example, have the world as a hashtable and all countries as the keys of
it. boxes(storage) marked by different country names(key) and you know
where to locate them.
If N Element is already hashed and when you insert next element , Does
hashing will take log N time to find the next available position? Actually
the next insertion typically does not have any co-relation to pre-existing
table content (Until your Hash function is badly designed to hash always on
suppose the problem is
Problem 4: Find all unique pairs of element in an array that sum to S. For
ex. If array = {2,4,6,4,6} and S = 8 then answer is {2,6, 4,4}
suppose we use STL c++ hash class to solve the problem . In the first we
hash all the elements . in the second pass we take each element
I am a bit confused. Are you talking about the runtime of hash function
itself or to find the position.
Agree on the efficient hash function design. However, no function could be
designed to fit all cases. A key to make a particular hash function
efficient is to know the potential data size.
Well, if we talk abt space complexity in Hash.. M srry we require O(n)
for Hash Datastructure... As each Bucket can contain at most one data
value of Key Value pair,thats where key is gonna hash your value..
However, when we talk abt time complexity, its alwayz, the Hash
Function dependable
@Prem :
So is the time complexity is O(1) or O(log n) or O(n)???
On 27 October 2011 07:28, Prem Krishna Chettri hprem...@gmail.com wrote:
Well, if we talk abt space complexity in Hash.. M srry we require O(n)
for Hash Datastructure... As each Bucket can contain at most one data
value of Key
I am asking for the above quesiton
On 27 October 2011 07:38, kumar raja rajkumar.cs...@gmail.com wrote:
@Prem :
So is the time complexity is O(1) or O(log n) or O(n)???
On 27 October 2011 07:28, Prem Krishna Chettri hprem...@gmail.com wrote:
Well, if we talk abt space complexity in
@Kumar: It's O(1) for searching an element in hash table as long as there is
no collision.
-Vicki
On Thu, Oct 27, 2011 at 10:38 AM, kumar raja rajkumar.cs...@gmail.comwrote:
@Prem :
So is the time complexity is O(1) or O(log n) or O(n)???
On 27 October 2011 07:28, Prem Krishna Chettri
One sentence answer to your query is all Hash DataStructure is suppose
to provide Constant Time Complexity .i.e.O(1). However as an when
HashTable fills up,Data Value collision occurs becoz,common key will
generated by HashFunction.Thats where HashFunction dependibility comes
into picture..
Well
It can be true if the hash table is used properly. If the table
becomes too full or the hash function produces too many collisions it
will not be constant time. So designing the hash system well remains
very important.
Don
On Oct 25, 12:15 am, kumar raja rajkumar.cs...@gmail.com wrote:
I have
When the number of elements increases gradually ,the complexity must
increase .so it the situtaion is like it has to store all the 'n' elements
then all the basic operations require O(log n) time.so how it is constant
always i am not getting...
On 24 October 2011 22:15, kumar raja
Is there any function or template is available in C++ STL for the Has
Function?
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Wow Don!
You did a perfect job explaining hash functions for C.
Thanks a lot.
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There are entire books on the subject, so I can't give you everything,
but here's a quick summary:
First you need a hash function which maps your input to an index in
the table. Hashing strings is a common application, and there are a
lot of string hash functions. Most common is something like
Yes. Linear probing, if done in the usual way, will end up at 2 if the
hash function returned values 1,2,7,8, 9, or 10. That is 6 of the 10
possible values, so if each one is equally likely, the probability is
0.6.
Don
On Aug 11, 3:04 pm, aditi garg aditi.garg.6...@gmail.com wrote:
cud u xplain
First, if you have a set of unique usernames, those could be used to
be keys. How to generate hash is depends on your requirements. You can
add a few prefix chars or postfix
On Sep 30, 2:45 pm, amit amitjaspal...@gmail.com wrote:
Design a hash table to store phone #s. Your job is to write a hash
Use a trie, the memory needed will be less than having a list of
strings and it will be faster than hashTable (array implementation of
trie). Check Trie in Wikipedia. If the datastructure is going to be
static, then using a Directed acyclic finite automata (dafsa) may be
even better.
On Sep 30,
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