Efficiency of binary search, Data Structure & Algorithms

Assignment Help:

Each of the comparison in the binary search decrease the number of possible candidates where the key value can be searched by a factor of 2 as the array is divided into two halves in each iteration. Therefore, the maximum number of key comparisons is about log n. Thus, the order of binary search is O (log n).


Related Discussions:- Efficiency of binary search

#title., Ask quapplication of data structure estion #Minimum 100 words acce...

Ask quapplication of data structure estion #Minimum 100 words accepted#

Compound interest, Write the algorithm for compound interest

Write the algorithm for compound interest

Advanced data structures - splay trees, This is a unit of which targeted on...

This is a unit of which targeted on the emerging data structures. Red- Black trees, Splay trees, AA-trees & Treaps are introduced. The learner must explore the possibilities of app

Stack, Explain in detail the algorithmic implementation of multiple stacks....

Explain in detail the algorithmic implementation of multiple stacks.

Write algorithm for post-order traversal, P os t - o r d e r T ...

P os t - o r d e r T r av er sal :  This can be done by both iteratively and recursively. The iterative solution would require a modification or alteration of the in-

The best average behaviour, The best average behaviour is shown by  Qui...

The best average behaviour is shown by  Quick Sort

How do you find the complexity of an algorithm, How do you find the complex...

How do you find the complexity of an algorithm?  Complexity of an algorithm is the measure of analysis of algorithm. Analyzing an algorithm means predicting the resources that

Er diagram, Ask queConsider the following functional dependencies: Applican...

Ask queConsider the following functional dependencies: Applicant_ID -> Applicant_Name Applicant_ID -> Applicant_Address Position_ID -> Positoin_Title Position_ID -> Date_Position_O

Define tractable and intractable problems, Define tractable and intractable...

Define tractable and intractable problems Problems that can be solved in polynomial time are known as tractable problems, problems that cannot be solved in polynomial time are

Analyze an algorithm, In order to analyze an algorithm is to find out the a...

In order to analyze an algorithm is to find out the amount of resources (like time & storage) that are utilized to execute. Mostly algorithms are designed to work along with inputs

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

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!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd