Analysis and Design of Algorithms
Sikkim Manipal University
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Analysis and Design of Algorithms - Transform and Conquer
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---27June 20222021/2022
- This unit defines the technique of transform and conquers. It describes the 
method of presorting, the Gaussian elimination technique and the approach of AVL and 2-3 trees in balanced search trees. It also defines heap sort and the problem reduction strategy.
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Analysis and Design of Algorithms - Space and Time Tradeoffs
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---25June 20222021/2022
- This unit explains the importance of space-time tradeoff in programming. It describes the process of sorting by counting and the input enhancement in string matching. It explains hashing technique the B-Tree technique with respect to space and time tradeoffs.
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Analysis and Design of Algorithms - mathematical Aspects and Analysis of Algorithms
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---22June 20222021/2022
- This unit explains the types of asymptotic notations. It lists the basic 
asymptotic efficiency classes. It also describes the efficient analysis of non recursive algorithms with illustrations.
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Analysis and Design of Algorithms - Mathematical Aspect and Analysis of Algorithms -- 2
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---23June 20222021/2022
- This unit defines recursion and recursive algorithm with examples. It also 
discusses the empirical analysis of algorithms and algorithm visualization 
with examples.
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Analysis and design of Algorithms - Introduction to Algorithms
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---19June 20222021/2022
- This unit covers the various definitions of algorithm, its types, properties and the steps for designing it. This unit gives a brief idea on solving a problem using different algorithmic problem solving techniques. It also introduces data structures. their classification and characteristics.
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Analysis and Design of Algorithms - Greedy Technique
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---21June 20222021/2022
- This unit you covers the concepts of Greedy technique algorithms that are Used for optimization problems such as Kruskal's algorithm and F 
algorithm for finding minimum spanning trees. It also describes the Dijkstra s algorithm for finding single-source shortest paths, and the algorithm for finding optimum Huffman trees
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Analysis and Design of Algorithms - Fundamentals of the Analysis Of Algorithm Effciency
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---22June 20222021/2022
- This unit covers algorithm analysis framework with respect to complexity of an algorithm. It gives an idea about various methods used for analyzing 
algorithms and explains the techniques involved in amortization. It also 
includes some case studies in algorithm analysis.
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Analysis and Design of Algorithms - Dynamic Programming-2
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---25June 20222021/2022
- Unit 11: Dynamic Programming-2 
This unit defines the Principle of Optimality and analyzes binary search 
trees using dynamic programming. It also introduces the Knapsack problem and solves an instance of it using dynamic programming and memory functions.
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Analysis and Design of Algorithms - Dynamic Programming -- 1
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---22June 20222021/2022
- This unit introduces the Dynamic Programming technique with an example to calculate the n Fibonacci number. It explains the dynamic programming 
approach to compute binomial coefficients. It also describes the Warshall's 
and Floyd's algorithms.
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