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Titlebook: Recent Topics in Theoretical Physics; Proceedings of the f Hajime Takayama Conference proceedings 19881st edition Springer-Verlag Berlin He

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21#
發(fā)表于 2025-3-25 04:55:44 | 只看該作者
Mean Field Theory for Spin Glasses, [1] (sometimes this construction goes under the name of broken replica theory). This theory should be exact for weak long-range forces or when the dimensions of the space become very large (fluctuations are neglected). The ideas involved in this construction are rather different from those of the m
22#
發(fā)表于 2025-3-25 11:26:17 | 只看該作者
23#
發(fā)表于 2025-3-25 14:21:50 | 只看該作者
24#
發(fā)表于 2025-3-25 18:41:09 | 只看該作者
25#
發(fā)表于 2025-3-25 20:38:28 | 只看該作者
0930-8989 Physics. Nishi- nomiya City wishes to extend a warm and sincere welcome to the many participants here in this Symposium. Nishinomiya is the city where Dr. Hideki Yukawa (1907-1981) was living when he published the famous paper "On the Interactions of Elementary Particles. I" in 1935. For this work
26#
發(fā)表于 2025-3-26 04:14:09 | 只看該作者
Gravitational Collapse,trong and weak interactions and because there is no shielding distance in contrast to the electromagnetic interaction. These two characteristic of gravity are by far the most important for the formation of the various structures in the universe.
27#
發(fā)表于 2025-3-26 04:41:52 | 只看該作者
28#
發(fā)表于 2025-3-26 12:03:08 | 只看該作者
29#
發(fā)表于 2025-3-26 13:42:04 | 只看該作者
A. Ukawael by using . to predict Y instead of a single predictor as we discussed in Chap. . of this book. The resulting statistical procedure is called “multiple correlation” because it uses two or more predictors, each weighed differently in an equation, to predict Y. The job of multiple correlation is to
30#
發(fā)表于 2025-3-26 19:35:39 | 只看該作者
M. Yoshimurabetter prediction model by using . to predict Y instead of a single predictor as we discussed in Chap. . of this book. The resulting statistical procedure is called “multiple correlation” because it uses two or more predictors, each weighed differently in an equation, to predict Y. The job of multip
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