Tradeoff between space and time complexity, Data Structure & Algorithms

Assignment Help:

We might sometimes seek a tradeoff among space & time complexity. For instance, we may have to select a data structure which requires a lot of storage to reduce the computation time. Thus, the programmer has to make a judicious choice from an informed point of view. The programmer have to have some verifiable basis based on which a data structure or algorithm can be selected Complexity analysis provides such a basis.

We will learn regarding various techniques to bind the complexity function. Actually, our goal is not to count the exact number of steps of a program or the exact amount of time needed for executing an algorithm. In theoretical analysis of algorithms, this is common to estimate their complexity in asymptotic sense that means to estimate the complexity function for reasonably large length of input 'n'. Omega notation ?, big O notation, and theta notation Θ are utilized for this purpose. To measure the performance of an algorithm underlying the computer program, our approach would be depending on a concept called as asymptotic measure of complexity of algorithm. There are notations such as big O, Θ, ? for asymptotic measure of growth functions of algorithms. The most common is big-O notation. The asymptotic analysis of algorithms is frequently used since time taken to execute an algorithm varies along with the input 'n' and other factors that might differ from computer to computer and from run to run. The essences of these asymptotic notations are to bind the growth function of time complexity along with a function for sufficiently large input.


Related Discussions:- Tradeoff between space and time complexity

ALGORITHM AND TRACING, WRITE AN ALGORITHM TO CONVERT PARENTHIZED INFIX TO P...

WRITE AN ALGORITHM TO CONVERT PARENTHIZED INFIX TO POSTFIX FORM ALSO TRACE ALG ON ((A+B)*C-(D-E)$F+G)

Graph & optimal scheduling, You are given an undirected graph G = (V, E) in...

You are given an undirected graph G = (V, E) in which the edge weights are highly restricted. In particular, each edge has a positive integer weight of either {1,2,...,W}, where W

Internal sorting, In internal sorting, all of the data to be sorted is obta...

In internal sorting, all of the data to be sorted is obtainable in the high speed main memory of the computer. We will learn the methods of internal sorting which are following:

Full binary trees, Full Binary Trees: A binary tree of height h that had 2...

Full Binary Trees: A binary tree of height h that had 2h -1 elements is called a Full Binary Tree. Complete Binary Trees: A binary tree whereby if the height is d, and all of

Linear search, Linear search is not the most efficient way to search an ite...

Linear search is not the most efficient way to search an item within a collection of items. Though, it is extremely simple to implement. Furthermore, if the array elements are arra

Explain the linked list implementation of stack, Question 1 Explain the fo...

Question 1 Explain the following? Arrays Stack Trees Question 2 Explain the Linked list implementation of stack Question 3 What is a binary tree? Expla

Data Structure, Ask consider the file name cars.text each line in the file ...

Ask consider the file name cars.text each line in the file contains information about a car ( year,company,manufacture,model name,type) 1-read the file 2-add each car which is repr

Delete a given node from a doubly linked list, Algorithm to Delete a given ...

Algorithm to Delete a given node from a doubly linked list Delete a Node from Double Linked List DELETEDBL(INFO, FORW, BACK, START, AVAIL,LOC) 1. [Delete Node] Set FOR

Basic organization of computer system, what happen''s in my computer when ...

what happen''s in my computer when i input any passage

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