Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.idea		.idea
venv		venv
Divide & Conquer(stairs problem).py		Divide & Conquer(stairs problem).py
Dynamic Iterative(stairs).py		Dynamic Iterative(stairs).py
Dynamic Stairs.py		Dynamic Stairs.py
Dynamic coin change 2D.py		Dynamic coin change 2D.py
Dynamic_bottom_up_knapsack.py		Dynamic_bottom_up_knapsack.py
Dynamic_coin_change_bottom_up.py		Dynamic_coin_change_bottom_up.py
Fractional_knapsack.py		Fractional_knapsack.py
KnapSack.py		KnapSack.py
KnapSack_algorithm.py		KnapSack_algorithm.py
README.md		README.md
Rod Cutting Memoized.py		Rod Cutting Memoized.py
Rod cutting Bottom-up 1D.py		Rod cutting Bottom-up 1D.py
Rod_Cut 1D new.py		Rod_Cut 1D new.py
Rod_Cutting Bottom Up.py		Rod_Cutting Bottom Up.py
Rod_Cutting top down.py		Rod_Cutting top down.py
coin change 2.py		coin change 2.py
coin change HR.py		coin change HR.py
coin change.py		coin change.py
job sequencing.py		job sequencing.py

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Dynamic Alogithms

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Here I have added some algorithms solved in Python using both iterative and dynamic method to show how they have been optimized [starting] from an iterative approach [finally] to the bottom-up approach

coin-change fractional-knapsack job-sequencing knapsack-0-1 rod-cutting stairs-problem

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