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Algorithm to find a simple path with maximum weight less than a constant in DAG

Given a weighted directed acyclic graph $ G=(V,E,W)$ , where the weights are non-negative and are on the vertices. I am searching for a simple path of maximum total weight, but this total weight should not exceed a given constant $ K$ .

Perhaps my question is elementary but I cannot find any solution. Indeed, it is well known that finding a simple path with maximum weight in $ G$ is polynomial, but by adding the fact that this total weight should not exceed a given constant $ K$ , will the problem remain polynomial? because we need to keep at each node the set of path lengths that can be reached by the next vertices.

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by: ryanwadness
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Algorithms of placing N weighted balls into M uniform bins while striving for balanced weight?

Suppose there’re $ N$ weighted balls and $ M$ equal weight bins, it’s guaranteed at least one placement exists that all the balls can be placed into bins.

What’s the right algorithm to achieve a well-balanced placement where each bin has almost equal weights of balls?

I know if the bins are of different weights, the problem is NP-hard; Not sure a simplified question can be solved in linear time.

I’d appreciate any references where I could find some papers discussing the complexity and solutions related. Thank you!