Welcome to Dyanamic Programming Training
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Day 1 - Basic Algorithms | Recursion Concept (119:52)
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Day 2 - Dynamic programming | Recursion tree | Fibonacci Series (104:41)
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Day 3 - DP Memorization | Divide | Conquer approach (81:40)
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Day 4 - Number factor problem (132:30)
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Day 5 - Bottom Up Approach(Tabulation) | Comparision of Time | Space complexity of all the approaches (101:02)
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Day 6 -Bottom-Up Approach | Fibonacci Series by Tabulation | Number Factor Problem By Tabulation (94:32)
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Day 7 - 20/9/2022- dynamic programming | graph | Knapsack problem | for loop |DNC method |DP method |0/1 problem | greedy method | fractional Knapsack |Knapsack problem code (132:24)
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Day 8 - 21/9/2022 -Knapsack problem code | fraction problem |0/1 problem | practical for 0/1 problem | greedy method |capacity of knapsack | DNC | recursion |brate- force method (107:18)
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Day 9 - 23/09/2022 -Knapsack |greedy |0/1 | DNC | recursion |brate- force method | tabulation | solve 0/1 problem by using tabulation (100:37)
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