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Everything about Continuous knapsack problem

Algorithmic problem in computer science

In theoretical computer science, the continuous knapsack problem is an algorithmic problem in combinatorial optimization in which the goal is to fill a container fractional amounts of different materials chosen to maximize the value of the selected materials. It is a variation of the classic knapsack problem, in which the items to be placed in the container are indivisible; however, the continuous knapsack problem may be solved in polynomial time whereas the classic knapsack problem is NP-hard. It is a classic example of how a seemingly small change in the formulation of a problem can have a large impact on its computational complexity. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Continuous knapsack problemA 5-minute orientation
  2. Skim a recent paper: The robust bilevel continuous knapsack problem with uncertain coefficients in the follower’s objectiveInfluential work since 2022
  3. Pick up a classic book: MetaheuristicsThe most-reprinted book on the subject
  4. Read the landmark paper: The 0-1 Knapsack problem with a single continuous variableCited 83 times
  5. Go sideways: Knapsack problemA closely related topic
  6. Go sideways: Linear programming relaxationA closely related topic

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  1. Problem definition
  2. Algorithm

🏆 Landmark papers (most cited)

🆕 Influential since 2022

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