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Titlebook: Le complicazioni neurologiche in oncologia; Augusto Caraceni,Angelo Sghirlanzoni,Fabio Simonet Book 2006 Springer-Verlag Milan 2006

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11#
發(fā)表于 2025-3-23 12:44:06 | 只看該作者
12#
發(fā)表于 2025-3-23 15:24:48 | 只看該作者
13#
發(fā)表于 2025-3-23 19:37:03 | 只看該作者
Complicazioni associate a stati carenziali o dismetabolici maggior spazio, di proposito, ad alcune situazioni, meno frequenti, ma che, proprio per questo, devono essere considerate dal clinico, anche perché, se riconosciute e trattate prontamente, sono reversibili.
14#
發(fā)表于 2025-3-24 01:23:24 | 只看該作者
15#
發(fā)表于 2025-3-24 04:05:51 | 只看該作者
e system was not meritocratic: with two-thirds of the population receiving no more than a basic education, numerous able children were eliminated by the ‘11+’ exam. Now, in Britain, as in the US, at least two thirds of the population get better than a basic education. In Germany that always was so,
16#
發(fā)表于 2025-3-24 09:34:47 | 只看該作者
17#
發(fā)表于 2025-3-24 10:46:28 | 只看該作者
Fabio Simonettiminimum-distance solution. This is where the similarities end, however, because there aren’t any tricks for finding perfect solutions to the TSP. The problem is NP-hard [135]: there are no known algorithms for finding perfect solutions that have a complexity that grows as only a polynomial function
18#
發(fā)表于 2025-3-24 18:19:36 | 只看該作者
iterations of random variation and selection. Random variation provides the mechanism for discovering new solutions. Selection determines which solutions to maintain as a basis for further exploration. Metaphorically, the search is conducted on a landscape of hills and valleys (see figure 7.1), whi
19#
發(fā)表于 2025-3-24 19:03:21 | 只看該作者
Maurizio Rivaical and analytic methods.Handy reference for addressing rea‘I will tel! you‘ the hermit said to Lancelot ‘the right of the matter.‘ Anonymous, The Quest of the Holy Grail Gyorgy Polya‘s How to Solve It [287] stands as one of the most important contributions to the problem-solving literatme in the t
20#
發(fā)表于 2025-3-25 02:44:47 | 只看該作者
Antonio Silvaniminimum-distance solution. This is where the similarities end, however, because there aren’t any tricks for finding perfect solutions to the TSP. The problem is NP-hard [135]: there are no known algorithms for finding perfect solutions that have a complexity that grows as only a polynomial function
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