|
题目在
! Q" w# a& c2 v( R9 V: O' l; _http://www.aswetalk.org/bbs/blog-1753-7898.html% w( h C# n, j( H) [9 D7 S
7 F, C# J( Y, z" Y+ P7 _; H8 ^这回不明白的地方多了。还请高手指点:2 a/ p8 {( R4 l* o" ?7 R
" X1 ~# r* G8 T2 k9 Z6 k4 |& j7 v
1.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。
" ?4 E& \. b8 M5 |; J# Z# o7 r/ n. s3 N- O, n
2 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 ~1 q0 v3 S7 k
. [% {- @# c- k! ?) ~. I3. 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?
0 U( @2 n4 J& |& `0 z! z4 n, K7 o# M8 g$ g; V3 P
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。7 H" f! w( `; e% f8 }8 y
可是本质区别是什么哪?
. V" \7 K/ E7 N
- q6 r. r+ ]7 B% s5 n/ K- E% m5.一样大。! C" ^" }/ j9 h) v6 n' x3 ]
, b% u/ P+ R2 i2 G" g6.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。. C" u+ F! c3 l
3 [" D+ ~) @/ J f5 k |
|