When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.
Algorithm Design Techniques From beginner to advanced (DAA)
Divide and Conquer | Dynamic Programming | Greedy | Back Tracking | Branch & bound | Algorithm Design and Analyse
This Course Includes
udemy
3.9 (31 reviews )
8h 26m 
english
Online - Self Paced
professional certificate
Udemy
About Algorithm Design Techniques From beginner to advanced (DAA)
//As you know behind every efficient software there will be an efficient algorithm.
But how do you build an efficient algorithm?
_You can choose any of the design techniques such as Divide and Conquer, Dynamic Programming, Greedy Approach, Back Tracking & Branch and Bound._
From the technique listed above which one is suitable for your program/problem?
_Take this course then you will be able to choose the right one._ _/
This course is for both students and professionals
/_
What You Will Learn?
- Analyze a given algorithm and express its time and space complexities in asymptotic notations. .
- Solve recurrence equations using Iteration Method, Recurrence Tree Method and Master’s Theorem. .
- Design algorithms using Divide and Conquer Strategy. .
- Compare Dynamic Programming and Divide and Conquer Strategies. .
- Solve Optimization problems using Greedy strategy. .
- Design efficient algorithms using Back Tracking and Branch Bound Techniques for solving problems. .
- Learn the fundamentals of complexity theory.