|
|
题目在/ w! A- j# L- @( \
http://www.aswetalk.org/bbs/blog-1753-7898.html
; k+ ^, F( ?$ S2 N
. H, y" W( n# E/ ^这回不明白的地方多了。还请高手指点:% T: j2 S& ` Q. |% a2 r
; Y; j# |# K- a S1.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。6 M9 }1 `- [( Z( ?6 C5 Z
" b# E3 ]' n. V5 P: y, L: w2 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.
% Z, y7 z9 A. U4 C5 z. |" A. M$ o1 _& f
3. 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?
6 e2 H9 t8 b' u8 X
2 k# u$ S3 w% g* W3 o; f& r( K" ~. Q4.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。: ]4 N+ F/ K/ F
可是本质区别是什么哪?
4 G" {% C/ V" |" s( m: V
6 ]4 N: @/ r: G d5.一样大。, q* i- C) r- _- J) j
. a! B' z2 B# }6 z. E- Q! n% a
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。, o$ A3 ^0 K0 `6 F* B3 h
. i r7 y0 w0 Y; L* c) e! ` |
|