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1. Basics of Algorithms
2. Divide and Conquer Strategy
3. Greedy Method
4. Dynamic Programming
5. Decrease and Conquer
6. Backtracking
7. Branch and Bond
8. Problem Classification
| Weight | 320 g |
|---|---|
| Dimensions | 24 × 18 × 1 cm |
| Publisher | |
| Semester - Year | Semester 1 (First Year – FY) |
| University | |
| Language | English |
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B.Sc. (Computer Science)
B.Sc. (Computer Science)
B.Sc. (Computer Science)
B.Sc.
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