# Design and analysis of algorithms nptel

• ## What do we study in design and analysis of algorithms?

Description This course is about the design and analysis of algorithms.
We study specific algorithms for a variety of problems, as well as general design and analysis techniques.
Specific topics include searching, sorting, algorithms for graph problems, efficient data structures, lower bounds and NP-completeness..

• ## What is design analysis and algorithm?

Design and Algorithm analysis is an important part of computational complexity theory, that provides theoretical estimation for the required resources of an algorithm to solve computational problems.
Algorithms are the steps that are written in the documentation that help in solving complex problems..

• ## What is the course description of design and analysis of algorithms?

Course Objectives
Write rigorous correctness proofs for algorithms.
Demonstrate a familiarity with major algorithms and data structures.
Apply important algorithmic design paradigms and methods of analysis.
Synthesize efficient algorithms in common engineering design situations..

More videos on YouTube This course will cover basic concepts in the design and analysis of algorithms. INTENDED AUDIENCE: Students in BE/BTech Computer

## Are NPTEL lectures gate specific?

I understand your query that NPTEL lectures are not GATE specific and you want something more specific

## What are the basic concepts in algorithm design and analysis?

This course will cover basic concepts in the design and analysis of algorithms

1 Asymptotic complexity,notation 2 Sorting and search 3

Algorithms on graphs: exploration, connectivity, shortest paths, directed acyclic graphs, spanning trees 4

Design techniques: divide and conquer, greedy, dynamic programming 5

## What is NPTEL?

NPTEL :: Computer Science and Engineering - NOC:Design and Analysis of Algorithms NPTEL provides E-learning through online Web and Video courses various streams

It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems.

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