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题目在. `% }0 i% j2 I3 E# A, r
http://www.aswetalk.org/bbs/blog-1753-7898.html; ^" ~0 F2 G4 D1 P" N% p3 v& y- Q
- {/ a6 ~$ t7 p' Z3 ^7 |3 G) q这回不明白的地方多了。还请高手指点:9 r1 Z1 T0 M1 P- w# Z
g5 ^& o% \& o2 \6 f2 Q/ C2 j1.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。" s0 C5 F+ q; N" C' B2 h" S
4 q* C# H7 J3 ^$ z! ?) P% q2 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.
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/ Q% m0 k+ j! D( a+ u! @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?, W8 L! W9 d$ \& b
- A! C; A1 s H |( g4.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。& H/ u8 Y: F' `# X. l3 ~
可是本质区别是什么哪?
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9 b6 b% Q/ N& s F) ~5.一样大。
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* I8 H" l q4 U' p. r2 F5 P2 W6.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。
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