BROOD 发表于 2025-3-21 19:58:49
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Alan F. Karrthat is an infinitely differentiable function of . (i.e. if .(.), .′(.) are vector fields of class ., then .(.(.), .′(.)) is a function of class .). The notion of Hermiticity requires, of course, a complex structure in the fibers of .Ω. It is introduced in a standard manner as follows: if . are theOATH 发表于 2025-3-22 01:07:14
Alan F. Karrthat is an infinitely differentiable function of . (i.e. if .(.), .′(.) are vector fields of class ., then .(.(.), .′(.)) is a function of class .). The notion of Hermiticity requires, of course, a complex structure in the fibers of .Ω. It is introduced in a standard manner as follows: if . are theObedient 发表于 2025-3-22 06:43:16
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Alan F. Karrs tour de force. The editors, themselves famous for their own extensive contributions in this area, must be congratulated for their ?ne achievements. Every card-carrying specialist needs a reference book of this sort. My own are well worn by many years’ reference, for when confronted by big problemsatopic-rhinitis 发表于 2025-3-22 18:21:44
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Probability,e, demography, waiting lines, astronomy, agricultural experiments, clinical trials, signal processing, traffic flow, reliability of complex systems, population growth, spread of infectious diseases, genetics, neurophysiology, microstructure of materials, precipitation, storage systems, telecommunicaLimousine 发表于 2025-3-23 03:29:42
Expectation,ues, where the weight of each value is the probability of the set on which it is assumed. Although it will not be until §3 that we establish this, it is intuitively clear that if . is discrete with values in the countable set ., this weighted average is given by.Similarly, if . is absolutely continuSKIFF 发表于 2025-3-23 08:26:36
Convergence of Random Variables,ts relationship to pointwise convergence, and convergence in distribution, because of its being the easiest to establish, are the most important and useful. Both generalize meaningfully and naturally to random vectors. Convergence in probability is significant for weak laws of large numbers, and in