Solving Interval Linear Systems Is NP-Hard Even When All Inputs Are Known With the Same Accuracy∗

نویسندگان

  • Ralph Kelsey
  • Vladik Kreinovich
چکیده

It is known that in general, solving interval linear systems is NP-hard. There exist several proofs of this NP-hardness, and all these proofs use examples with intervals of different width – corresponding to different accuracy in measuring different coefficients. For some classes of interval linear systems with the same accuracy, feasible algorithms are known. We show, however, that in general, solving interval linear systems is NP-hard even when all inputs are known with the same accuracy.

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تاریخ انتشار 2013