About
the Subject :
The design analysis of algorithms is the determination of the amount of
resources (such as time and storage) necessary to execute them. Most
algorithms are designed to work with inputs of arbitrary length. Usually,
the efficiency or running time of an algorithm is stated as a function relating
the input length to the number of steps (time complexity) or storage
locations (space complexity).
Topics
to be covered in this Seminar :
Notion of an Algorithm – Fundamentals of Algorithmic Problem Solving
–Asymptotic Notations and its properties – Mathematical analysis for Recursive
and Non-recursive algorithms-Brute Force – Closest-Pair and Convex-Hull
Problems-Exhaustive Search – Traveling Salesman Problem – Knapsack Problem –
Assignment problem-Divide and conquer methodology – Computing a Binomial
Coefficient – Warshall’s and Floyd’ algorithm – Greedy Technique – Prim’s
algorithm- Kruskal’s Algorithm- Dijkstra’s Algorithm-Huffman Trees-The Simplex
Method-The Maximum-Flow Problem – Maximm Matching in Bipartite Graphs- The
Stable marriage Problem-Decision Trees-P, NP and NP-Complete Problems–Coping
with the Limitations – Backtracking.
Time To Be Planned:
1 or 2 days
Kind Of Program:
3D based
Seminar and Guest Lecture for the Students
Reason For The Program :
Kalam
Scientist Team aiming to build young generation Scientist
Sample Clips For Reference :
Notation Algorithm
Greedy Technique
Cheers,
Kalam
Scientist Team
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