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Exact interval solutions to the discrete Bellman equation and polynomial complexity of problems in interval idempotent linear algebra

机译:离散Bellman方程和多项式的精确区间解   区间幂等线性代数问题的复杂性

摘要

In this note we construct a solution of a matrix interval linear equation ofthe form X=AX+B (the discrete stationary Bellman equation) over partiallyordered semirings, including the semiring of nonnegative real numbers and allidempotent semirings. We discuss also the computational complexity of problemsin interval idempotent linear algebra. In the traditional Interval Analysisproblems of this kind are generally NP-hard. In the note we consider matrixequations over positive semirings; in this case the computational complexity ofthe problem is polynomial. Idempotent and other positive semirings arise naturally in optimizationproblems. Many of these problems turn out to be linear over appropriateidempotent semirings. In this case, the system of equations X=AX+B appears tobe a natural analog of a usual linear system in the traditional linear algebraover fields. B. A. Carre showed that many of the well-known algorithms ofdiscrete optimization are analogous to standard algorithms of the traditionalcomputational linear algebra.
机译:在本说明中,我们构造了在部分有序半环上的形式为X = AX + B(离散平稳Bellman方程)的矩阵区间线性方程的解决方案,包括非负实数半环和同幂半环。我们还讨论了区间幂等线性代数中问题的计算复杂性。在传统的间隔分析中,此类问题通常是NP难题。在注释中,我们考虑正半环上的矩阵方程;在这种情况下,问题的计算复杂度是多项式。幂等和其他正半环自然出现在优化问题中。这些问题中的许多事实证明在适当的幂等半环上是线性的。在这种情况下,方程式X = AX + B的系统似乎是传统线性代数领域中常规线性系统的自然模拟。 B. A. Carre表明,许多众所周知的离散优化算法都类似于传统的计算线性代数的标准算法。

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