# Design and Analysis of Algorithms Study Materials 2020 – Download Unit wise PDFs

## Design and Analysis of Algorithms Study Materials

 Name of the Subject Design and Analysis of Algorithms Category School of Computer and Information Sciences (SOCIS) Useful for B.Tech in CSE, IT, MCA Course Type Under Graduation and Post Graduation Courses Article on Study Materials 2020 Study Material Format PDF Download Other Study Materials Click Here

## Design and Analysis of Algorithms Study Notes

### Chapters & Topics

Introduction to Algorithmics

• Basics of Analysis
• Some Pre-Requisites and Asymptotic Bounds
• Elementary Algorithmics
Related Posts

Design Techniques-I

• Graph Algorithms
• Divide-and-Conquer

Design Techniques-II

• Models for Executing Algorithms-II: PDFA & CFG
• Models for Executing Algorithms-I: FA
• Greedy Techniques
• Dynamic Programming

Complexity & Completeness

• Complexity of Algorithms
• Algorithmically Unsolvable Problems
• Models for Executing Algorithms III: TM

## Subject in the Universities

This subject will be useful to the students who are pursuing a Master of Computer Applications (MCA), B.Tech in CSE & ITThe following university students can download  Design and Analysis of Algorithms study materials :

• Malla Reddy College of Engineering and Technology
• Jawaharlal Nehru Technological University, Anantapur (JNTUK)
• Guru Jambheswar University
• Shri Vishnu Engineering College for Women
• IGNOU

### Subject in the Semesters

Design and Analysis of Algorithms subject will be studied by the students in the following semesters of their respective courses :

• B.Tech IT VI  Semester
• CSE VI Semester
• MCA III Semester

### Important Questions

We have mentioned some of the important topics of Design and Analysis of Algorithms study materials :

• Explain and use various types of analyses of algorithms?
• Explain and use any one of the several well-known algorithms discussed in the text, for sorting a given array of numbers.
• Explain the concepts: problem, solution, instance of a problem, algorithm, computer program?
• Explain the characteristics of an algorithm?
• Explain and apply various graph search techniques, viz Depth-First Search (DFS), Breadth-First-Search (BFS), Best-First Search, and Minimax Principle.
• Explain the dynamic programming technique for solving optimization problems.
• Explain the concepts of time complexity, size of a problem, growth rate of a function?
• Explain polynomial-reduction as a technique of establishing problems as NP-hard.
• Explain the general technique of Reduction to establish other problems as uncomputable.
• Define and explain various terms mentioned under the title keywords in the previous section.

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