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The asymptotic probabilistic behaviour of quadratic sum assignment problems

โœ Scribed by R. E. Burkard; U. Fincke


Publisher
Springer
Year
1983
Tongue
English
Weight
322 KB
Volume
27
Category
Article
ISSN
0340-9422

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Quadratic Negligibility and the Asymptot
โœ R.A. Maller ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 711 KB

The condition \(\max _{1 \leqslant i \leqslant n} X_{i}^{\top} V_{n}{ }^{1} X_{i} \xrightarrow{p} 0\), where \(X_{i}\) are vectors in \(R^{d}\) and \(V_{n}=\sum_{i=1}^{n} X_{i} X_{i}^{\mathrm{\top}}\), is important in the asymptotics of various linear and nonlinear regression models. We call it "qua