Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Q. What do you understand by the term Hashing? How do the collisions occur during hashing? Explain the different techniques or methods for resolving the collision.
Ans: Hashing permits us to access the record from the file directly no matter where the record is in the file. This is made possible with the help of a hashing function H which map the key with the corresponding key location. It provides the key- to- the address transformation. Generally the key space is much larger than the address space, thus, many keys are mapped to the same address. Let us suppose that two keys K1 and K2 map to the same address. When the record by means of key K1 is entered, it is inserted at the hashed address, but when another record by means of key K2 is entered, it is a dilemma where to insert as a record by means of key K1 already exists there. This situation is termed as a hash collision. Two broad classes of collision resolution techniques or method are: i) open addressing ii) chaining. The open addressing: The easiest method to resolve a collision is to begin with the hash address and perform a sequential search through the table for an empty location. In this the idea is to place the record in the next available location in an array. This method or technique is known as linear probing. An empty record is indicated by the special value called null. The major drawback or we can say limitation of the linear probe method is clustering.Chaining: In this chaining technique or method, instead of hashing function value as location or address we use it as an index into an array of the pointers. Each pointer access a chain which holds the element having same location.
Ans:
Hashing permits us to access the record from the file directly no matter where the record is in the file. This is made possible with the help of a hashing function H which map the key with the corresponding key location. It provides the key- to- the address transformation. Generally the key space is much larger than the address space, thus, many keys are mapped to the same address. Let us suppose that two keys K1 and K2 map to the same address. When the record by means of key K1 is entered, it is inserted at the hashed address, but when another record by means of key K2 is entered, it is a dilemma where to insert as a record by means of key K1 already exists there. This situation is termed as a hash collision. Two broad classes of collision resolution techniques or method are: i) open addressing ii) chaining.
The open addressing: The easiest method to resolve a collision is to begin with the hash address and perform a sequential search through the table for an empty location.
In this the idea is to place the record in the next available location in an array. This method or technique is known as linear probing. An empty record is indicated by the special value called null. The major drawback or we can say limitation of the linear probe method is clustering.Chaining: In this chaining technique or method, instead of hashing function value as location or address we use it as an index into an array of the pointers. Each pointer access a chain which holds the element having same location.
Records are mapped onto a computer store by simply juxtaposing their elements. The address of a component (field) r relative to the origin address of the record r is named the fiel
Think of a program you have used that is unacceptably slow. Identify the specific operations that make the program slow. Identify other basic operations that the program performs q
* Initialise d & pi* for each vertex v within V( g ) g.d[v] := infinity g.pi[v] := nil g.d[s] := 0; * Set S to empty * S := { 0 } Q := V(g) * While (V-S)
Easy algorithm for beginner for quicksort with explanation
Q. What is the smallest value of n such that an algorithm whose running time is 100n2 runs faster than an algorithm whose running time is 2n on the same machine. A n
what is far and near procedures in system programming?
#question.show that the following inequality is correct or incorrect. n!=O(n^n)
(a) Describe the steps involved in the process of decision making under uncertainty. (b) Explain the following principles of decision making: (i) Laplace, (ii) Hurwicz. (c
Program will demonstrate deletion of an element from the linear array /* declaration of delete_list function */ voiddelete_list(list *, int); /* definition of delete_list
3. A function to convert a complex number in algebraic form to a complex number in phasor form
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +1-415-670-9521
Phone: +1-415-670-9521
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd