|
|
题目在
/ r* `5 g9 w& K% shttp://www.aswetalk.org/bbs/blog-1753-7898.html* c. { Q% l) _9 l6 q2 x
" N ^, X1 l2 C0 ?$ r! Z/ u
这回不明白的地方多了。还请高手指点:
$ C. h4 g: ]/ K8 r
5 [! G* [ B5 n! x$ H" f1.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。9 P- f/ [7 v" D8 @& u4 { w
; C( L# a! `9 t+ Z0 q. E# c+ R2 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.
, L) f. K9 `) c6 b. ~+ l! C* g: b% N- @5 c# O
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?9 n: R4 W4 } t" t$ J
: }3 M5 [( w) `! I) |" o2 {
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。- b0 M1 v) V9 R1 x9 k
可是本质区别是什么哪?* K; @9 L4 v, V6 e5 H$ C. k0 k0 t
. V. S" U$ k z8 v5.一样大。
- a! K4 x. O; p( g8 M- r5 z' v5 T! [, J7 j4 C( s
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。4 _! o% h% Z; U5 `* d% a8 C
+ a$ k3 N x( M& m: @- H, k |
|