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I read many writing about the time complexity of 0-1 knapsack problem.

(https://stackoverflow.com/questions/4538581/why-is-the-knapsack-problem-pseudo-polynomial#answer-4538668)

In conclusion, the time complexity of knapsack problem is O(nW) but it is pseudo-polynomial

because the size of W in binary encoding system is logW.

if it is unary-encoded, it is polynomial.

But my question is why we need to think like this?

in this https://stackoverflow.com/questions/10422000/encoding-of-the-input-time-complexity/10422079,

the knapsack problem algorithm consumes same amount of time regardless of its encoding system.

When increasing W value from 10, 11, 12, ..., the consumed time for algorithms is also increasing according to the W value.

Why do we have to consider its encoding system and why is it important?

It seems that we have to think in the view of computer but I don't know exactly.

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