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Approximation Algorithms for NP Hard Problems Travelling Salesman problem Knapsack problem
Approximation Algorithms for NP Hard Problems – Travelling Salesman problem – Knapsack problem
LIFO Search and FIFO search Knapsack Problem || Branch and Bound
Travelling Salesman Problem using Branch and Bound Method
Subset Sum Problem - Backtracking
Backtracking – n Queen problem || Design And Analysis of Algorithm
Lower – Bound Arguments – P, NP NP- Complete and NP Hard Problems.
The Simplex Method || ITERATIVE IMPROVEMENT|| Design And Analysis of Algorithm
Maximum Matching in Bipartite Graphs || ITERATIVE IMPROVEMENT || Design and Analysis of Algorithm
Simplex method || ITERATIVE IMPROVEMENT || Design and analysis of Algorithm
Huffman Tree -Greedy Technique | Design and analysis of Algorithm
MULTI STAGE GRAPH || Dynamic programming
Knapsack Problem using Greedy Technique
Container loading problem || Greedy Technique
kruskal's Algorithm|| Greedy Technique Programming || Design and Analysis of Algorithm
Dijkstra’s algorithm|| Greedy Technique || Design and Analysis of Algorithm
Prims Algorithm || Greedy Technique Programming- Design and Analysis of Algorithm
Coin changing problem using Dynamic programming|| Design and Analysis of Algorithm
Divide and conquer - Multiplication of Large Integers
Dynamic programming – Principle of optimality
Divide and conquer methodology merge sort
knapsack problem brute force
Brute Force Assignment problem