When it comes to modeling dependent random variables, not surprisingly, the multivariate normal distribution has received the most attention because of its many appealing properties. However, when it comes to practical implementation, the same family of distribution is often rejected for modeling fi
โฆ LIBER โฆ
A Lower Bound Theorem for Ehrhart Polynomials of Convex Polytopes
โ Scribed by T. Hibi
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 153 KB
- Volume
- 105
- Category
- Article
- ISSN
- 0001-8708
No coin nor oath required. For personal study only.
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Lower convex order bound approximations
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On a Lower-Bound for the Absolute Value
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๐
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๐
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โ 268 KB
For an arbitrary polynomial \(P\left(z_{1}, z_{2}, \ldots, z_{n}\right)\) in complex space \(\mathbb{C}^{n}\) we describe a set of nonnegative multi-indices \(\alpha=\left(\alpha_{1}, \alpha_{2}, \ldots, \alpha_{n}\right)\) such that for any \(n\)-tuple \(\delta=\left(\delta_{1}, \delta_{2}, \ldots,