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Algorithms

Design and analysis of algorithms (daa) - iii b.tech sem 1 / 2

Algorithms

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About VAMSI

I AM GRADUATE IN INFORMATION TECHNOLOGY FROM ACHARYA NAGARJUNA UNIVERSITY , GUNTUR AND POST GRADUATE IN COMPUTER SCIENCE AND TECHNOLOGY FROM ANDHRA UNIVERSITY , VISAKHAPATNAM.

I AM CURRENTLY WORKING AS A ASSISTANT PROFESSOR OF CSE DEPARTMENT IN " VIGNANS INSTITUTE OF INFORMATION TECHNOLOGY (AUTONOMOUS), VISAKHAPATNAM.

About the lesson

MY TEACHING METHODOLOGY IS BASED ON AS FOLLOWS:

Introduction: What is an Algorithm, Algorithm Specification, Pseudocode Conventions
Recursive Algorithm, Performance Analysis, Space Complexity, Time Complexity, Amortized
Complexity, Amortized Complexity, Asymptotic Notation, Practical Complexities, Performance
Measurement.

Dived and Conquer: General Method, Defective Chessboard, Binary Search, Finding the
Maximum and Minimum, Merge Sort, Quick Sort, Performance Measurement, Randomized
Sorting Algorithms.

The Greedy Method: The General Method, Knapsack Problem, Job Sequencing with Deadlines,
Minimum-cost Spanning Trees, Prim’s Algorithm, Kruskal’s Algorithms, An Optimal
Randomized Algorithm, Optimal Merge Patterns, Single Source Shortest Paths.

Dynamic Programming: All - Pairs Shortest Paths, Single – Source Shortest paths General
Weights, String Edition, 0/1 Knapsack, Reliability Design,

Backtracking: The General Method, The 8-Queens Problem, Sum of Subsets, Graph Coloring ,
Hamiltonian Cycles.

Design and analysis of algorithms (daa) - iii b.tech sem 1 / 2

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About VAMSI

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Design and analysis of algorithms (daa) - iii b.tech sem 1 / 2

Lesson location

About VAMSI

About the lesson

Rates

Rate

Pack prices

online

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Experienced phd online tutor for all levels maths, physics, statistics, spss, r, stata, jamovi, data analysis

It engineer with 110 cum laude. computer science, software programming with java, kotlin, swift, python, c and c++, flutter or websites with html, css, js, php

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