Analysis & Design of Algorithm
Analysis & Design of Algorithm APK
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Design & analysis of algorithm notes for computer science students.
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Design & analysis of algorithm notes for computer science students.Design & analysis of algorithm app almost cover all important topics which are given below chapter wise.
Chapter 1. Algorithms
1. Designing The Algorithm
2. Analyze an Algorithm
3. Asymptotic Notations
4. Heap and heap sort
5. Divide and conquer technique
6. Comparison of various algorithms based on this technique
Chapter 2. Greedy strategy
1. Study of Greedy strategy
2. Huffman coding
3. Minimum spanning trees
4. Knapsack problem
5. Job sequencing with deadlines
6. Single source shortest path algorithm
Chapter 3. Concept of dynamic programming
1. Concept of dynamic programming
2. 0/1 Knapsack Problem
3. Multistage Graphs
4. Reliability design
5. Floyd-Warshall's Algorithm
Chapter 4. Backtracking
1. Backtracking concept and its examples like 8 queen?s problem
2. Hamiltonian cycle
3. Graph coloring
4. Branch and Bound Method
5. Lower Bound Theory
6. Parallel algorithms.
Chapter 5. Binary search trees
1. Binary Search Trees
2. AVL Tree
3. 2-3 trees
4. B-Tree
5. NP-Completeness
6. Binary tree traversal: Preorder, Inorder, and Postorde
Chapter 1. Algorithms
1. Designing The Algorithm
2. Analyze an Algorithm
3. Asymptotic Notations
4. Heap and heap sort
5. Divide and conquer technique
6. Comparison of various algorithms based on this technique
Chapter 2. Greedy strategy
1. Study of Greedy strategy
2. Huffman coding
3. Minimum spanning trees
4. Knapsack problem
5. Job sequencing with deadlines
6. Single source shortest path algorithm
Chapter 3. Concept of dynamic programming
1. Concept of dynamic programming
2. 0/1 Knapsack Problem
3. Multistage Graphs
4. Reliability design
5. Floyd-Warshall's Algorithm
Chapter 4. Backtracking
1. Backtracking concept and its examples like 8 queen?s problem
2. Hamiltonian cycle
3. Graph coloring
4. Branch and Bound Method
5. Lower Bound Theory
6. Parallel algorithms.
Chapter 5. Binary search trees
1. Binary Search Trees
2. AVL Tree
3. 2-3 trees
4. B-Tree
5. NP-Completeness
6. Binary tree traversal: Preorder, Inorder, and Postorde
