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Design and Analysis of Algorithms (Backtracking, Branch and Bound)
Published by uLektz
| Course Code | : | ULZ0071 |
| Author | : | uLektz |
| University | : | General for All University |
| Regulation | : | 2017 |
| Categories | : | Computer Science |
| Format | : |  ePUB3 (DRM Protected) |
| Type | : | eBook |
FREE
Buy NowDescription : Design and Analysis of Algorithms (Backtracking, Branch and Bound) of ULZ0071 covers the latest syllabus prescribed by General for All University for regulation 2017. Author: uLektz, Published by uLektz Learning Solutions Private Limited.
Note : No printed book. Only ebook. Access eBook using uLektz apps for Android, iOS and Windows Desktop PC.
Topics
UNIT-I: Introduction to algorithms
1.1 Introduction: Algorithm - Psuedo code for expressing algorithms - Performance Analysis-Space complexity, Time complexity
1.2 Asymptotic Notation- Big oh notation, Omega notation, Theta notation and Little oh notation
1.3 Probabilistic analysis, Amortized analysis.
UNIT-II: Divide and conquer algorithm
2.1 Divide and conquer: General method
2.2 Applications-Binary search, Quick sort, Merge sort
UNIT-III: Greedy method
3.1 Greedy method: General method
3.2 Applications-Job sequencing with deadlines, knapsack problem, spanning trees, Minimum cost spanning trees, Single source shortest path problem.
UNIT-IV: Dynamic Programming
4.1 Dynamic Programming: General method
4.2 Applications-Matrix chain multiplication, Optimal binary search trees, 0/1 knapsack problem, All pairs shortest path problem, Travelling sales person problem, Reliability design.
UNIT-V: Backtracking
5.1 Backtracking: General method
5.2 Applications-n-queen problem, sum of subsets problem, graph coloring, Hamiltonian cycles.
UNIT-VI: Branch and Bound
6.1 Branch and Bound: General method
6.2 Applications - Travelling sales person problem,0/1 knapsack problem
6.3 LC Branch and Bound solution - FIFO Branch and Bound solution..
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