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Communications of the ACM - The MIT Press scientific computation series
Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Knapsack problems: algorithms and computer implementations
Knapsack problems: algorithms and computer implementations
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This paper introduces a geometric representation that can be applied to illustrate the complexity of some combinatorial optimization problems. In this work, it is applied to the 0/1 knapsack problem and to a special case of a scheduling problem. This representation gives insight into the difference between tractable and intractable problems. It can therefore be used as a stepping stone to compare polynomial (P) and nondeterministic polynomial (NP) problems, before venturing into the world of NP-completeness.