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Knapsack problem
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Knapsack problem

Problem in combinatorial optimization

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  • AI acceleration (1)
  • Computational efficiency (1)
  • Model optimization (1)
  • Hardware adaptation (1)

🏷️ Keywords

KnapSpec (1) Β· Self-speculative decoding (1) Β· LLM inference (1) Β· Knapsack problem (1) Β· Attention layers (1) Β· Dynamic programming (1) Β· Tokens-per-time (1) Β· Long-context scenarios (1)

πŸ“– Key Information

The knapsack problem is the following problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine which items to include in the collection so that the total weight is less than or equal to a given limit and the total value is as large as possible. It derives its name from the problem faced by someone who is constrained by a fixed-size knapsack and must fill it with the most valuable items. The problem often arises in resource allocation where the decision-makers have to choose from a set of non-divisible projects or tasks under a fixed budget or time constraint, respectively.

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