def greedy_knapsack(values, weights, capacity): items = [(v/w, v, w) for v, w in zip(values, weights)] items.sort(reverse=True) total_value = 0 knapsack = [] for ...

def greedy_knapsack(values, weights, capacity): items = [(v/w, v, w) for v, w in zip(values, weights)] items.sort(reverse=True) total_value = 0 knapsack = [] for ...

Abstract: Dynamic programming is a fundamental algorithm that can be found in our daily lives easily. One of the dynamic programming algorithm implementations consists of solving the 0/1 knapsack ...

Abstract: Kinesthetic learning is an innovative teaching method that involves the physical interaction among students in a dynamic setting. Unlike traditional methods of teaching, kinesthetic learning ...