Suppose U is set of objects, E is a set of {0,1}-valued parameters ) b. U/ A' F! I0 \5 ^
- h7 o* Q! R8 C/ L0 xfor describing objects in U. For any u in U, define an additive utility " l! l4 E; r g2 U+ ~ n! t" k W* ?
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function f as follows: 4 x' c K. F; `& P* ~/ z
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f (u ) e (u ), (对e属于E,e(u)求和) 4 B9 [7 A& a' y( X/ B3 ] 0 c8 \! r9 Y7 p u& G k9 F; y* o9 G
e E 2 A2 E. [( k4 x' ` W, x/ U5 g, X7 T% Rwhere e(u ) 0,1. u is called an optimal solution if it is one of the " d) e$ Z; H- q
- e, k1 h" y& e% P, F/ ]- c8 U5 [4 K9 ^3 }maximum points of function f with respect to normal order. For % p* d& d9 Z5 O5 b9 p M
9 t7 Y; r+ s+ [6 f, N& O4 }certain reasons, some values are missing. It costs if we want to find `7 q9 @& U+ w% O- B6 I 6 k2 m3 V& N2 |& U) \# k/ s, r* ^+ @out what these values are. We assume that we know nothing about C7 S: y; o+ G/ _/ E+ e+ c
1 [9 K* r& g# ^the probability of these values being 0 or 1. So my questions are: 5 D l2 b; v' m" t8 Z- Y
# ~$ D p7 c M; Y2 ~(1.) Which unknown value should we figure out firstly if we want to ; Q( q/ a. C, G% v
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find at least one optimal solution?