Analysis of Algorithm

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Analysis of Algorithm is an important part of a broader computational complexity theory, which provides theoretical estimates for the resources needed by any algorithm which solves a given computational problem. These estimates provide an insight into reasonable directions of search for efficient algorithms. This video tutorial will give you a great understanding on Analysis of Algorithm needed to understand the complexity of enterprise level applications and need of algorithms, and data structures.

  • Analysis of Algorithm
  • Algorithm Introduction
  • Complexity of an Algorithm
  • Algorithms and Classifications
  • Elementary Data Structure
  • Sets and Set Operations
  • Recursion
  • Divide and Conquer
  • The Greedy Method
  • Dynamic Programming
  • Backtracking Algorithm
  • Branch and Bound
  • NP-Hard and NP-Complete Problems
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