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题目在* `, |1 [8 C, v/ p+ D
http://www.aswetalk.org/bbs/blog-1753-7898.html, S) g* Z8 ~' s5 L) L
2 f% O s0 b1 W2 J0 m- o2 i* Z' Q ]这回不明白的地方多了。还请高手指点:: k( w% |8 h' t J5 F
2 v3 t( d' ~1 b; C, o: s; K1.不知道。 高低中音什么的一点都不知道。不过解题思路就是找可能的组合个数。7 f& |1 t1 f7 r) ~+ G x4 n
+ M6 v% C( W/ N( }% S2 h6 p6 {; S2 well, I can reason a bit from the names of these optimization types. The advantage of randomized optimization is for looking for global minimum without being trapped by a local minimum (which is often the case for deterministic optimization). so far (a few years ago before I left school, to be accurate) optimization is cursed by dimensionality, and random optimization has only limited success. 4 ]$ y! w6 n4 m1 [' D+ v% N2 o' D
) |% m$ f; r4 P) I9 y3. 没听说过傅里叶空间插值。如果有的话也不奇怪。那么像实空间插值类似,傅里叶空间插值能准确复原已知频率的结果。别的还有什么呢?; k3 u) O# v" Q% U$ w' k2 n9 {
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4.不知道。我只知道复数比较奇妙。有个柯西定理,复函数如果一阶可导,则无穷阶可导。这在实函数是不可能的。3 p) z' \% y8 J; [4 I2 b T7 L
可是本质区别是什么哪?; `- Z& B+ F) T
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5.一样大。$ k0 B: E+ R8 k$ @' F; s
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6.蒙特卡洛的实质?我也不知道。它的误差是 O(1/sqrt(N)), N是sample个数。! n* l- M* _7 K' p$ a& A
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