|
|
题目在( ^1 n, \, [. ]# f
http://www.aswetalk.org/bbs/blog-1753-7898.html) {, [4 ?8 Y5 x9 o6 y
. X8 C7 H+ D/ i* ^这回不明白的地方多了。还请高手指点:' E ~) E; H9 `% h6 p0 Q* F
8 T9 R F/ a3 c6 R) y1 \/ a1.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。; C. v4 m) \& G0 D* Y6 n+ F
7 n# v" G/ f" }% F' b+ H2 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. , Q# h! `7 L) Q3 I
' S- g( `6 q+ Z* j2 n$ U) Y5 d
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?- Q+ Z- X" d, X w! _) A
# Z0 Z3 [6 z. j( _: 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。
/ F( O4 ?& k5 l) a, m可是本质区别是什么哪?
8 F- e3 u$ E; t* k* S9 D3 K& n" Y- z
x! _( v& W2 p5.一样大。# N4 s9 J9 |; R% u; z, i
( D4 c! c8 ]( x1 \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。 x- X7 S7 y% H- J
; p7 O1 |' C% I4 r) w |
|