HomeCSE-4TH SEM DAA(MOD1-MOD5) //// CSE-4th SEM- DAA (Design and Analysis of Algorithms)-18CS42

(MOD1-MOD5) //// CSE-4th SEM- DAA (Design and Analysis of Algorithms)-18CS42

Design and Analysis of Algorithms NOTES for CS 4 Sem 2018 scheme | VTU CBCS (18CS42 )

ALL MODULE 1-MODULE 5 NOTES DOWN BELOW 
(SCROLL DOWN )
ALL NOTES ARE CONTRIBUTED BY SUDARSHAN REDDY 
ALL ppts/PDF NOTES CONTRIBUTED BY
SNEHA REDDY
(dm ON INSTA FOR MORE INFORMATION )
Module-1Introduction10 hours

Introduction:

What is an Algorithm? 

Asymptotic Notations:

Big-Oh notation (O), Omega notation (Ω), 

 

Fundamental Data Structures:

Stacks, Queues, Graphs, Trees, Sets and Dictionaries. 

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Module-2Divide and Conquer10 hours

Divide and Conquer:

General method, Binary search, Recurrence equation for divide and conquer, Finding the maximum and ,……

Decrease and Conquer Approach:

Topological Sort. (T1:5.3).

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Module-3Greedy Method10 hours

Greedy Method:

General method, Coin Change Problem, Knapsack Problem, Job sequencing with deadlines (T2:4.1, 4.3, 4.5).

 Minimum cost spanning trees:

Prim’s Algorithm, Kruskal’s Algorithm (T1:9.1, 9.2).

 Single source shortest paths:

Dijkstra’s Algorithm (T1:9.3).

 Optimal Tree problem:

Huffman Trees and Codes (T1:9.4).

 Transform and Conquer Approach:

Heaps and Heap Sort (T1:6.4).

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Module-4Dynamic Programming10 hours

Dynamic Programming:

General method with Examples, Multistage Graphs (T2:5.1, 5.2).

 Transitive Closure:

Warshall’s Algorithm,

 All Pairs Shortest Paths:

Floyd’s Algorithm, Optimal Binary Search Trees, Knapsack problem ((T1:8.2, 8.3, 8.4), Bellman-Ford Algorithm (T2:5.4), Travelling Sales Person problem (T2:5.9), Reliability design (T2:5.8).

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Module-5Backtracking10 hours

Backtracking:

General method (T2:7.1), N-Queens problem (T1:12.1), Sum of subsets problem (T1:12.1), Graph coloring (T2:7.4), Hamiltonian cycles (T2:7.5).

 

Programme and Bound:

Assignment Problem, Travelling Sales Person problem (T1:12.2),

 

0/1 Knapsack problem (T2:8.2, T1:12.2):

LC Programme and Bound solution (T2:8.2), FIFO Programme and Bound solution (T2:8.2).

 

NP-Complete and NP-Hard problems:

Basic concepts, non deterministic algorithms, P, NP, NP-Complete, and NP-Hard classes (T2:11.1). RBT: L1, L2, L3

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