Suppose U is set of objects, E is a set of {0,1}-valued parameters 7 P% i- D8 c( q7 Q4 S
* ^( p7 S) ]- u" q& O2 Kfor describing objects in U. For any u in U, define an additive utility ( Q1 ^% i9 E% g
+ L7 O& Y+ N) m& V0 F! s
function f as follows: * g; h$ j( [+ r
4 y% {# f# Y. H% o- |6 C1 Z# M+ N" N f (u ) e (u ), (对e属于E,e(u)求和)1 r1 H' p2 k% ^5 u, `7 N
$ m e& O% }: ^7 c3 P e E 7 ~, Z1 a: \2 T9 s& M3 Y# X8 n, [4 x( C. i7 t
where e(u ) 0,1. u is called an optimal solution if it is one of the 3 {9 Y1 i5 R0 Y+ g- M
& ?) v1 Q. M& L/ m
maximum points of function f with respect to normal order. For 6 Z, }5 p1 Y; [) G; _# U/ `
: M$ u' t6 j6 ]! N6 scertain reasons, some values are missing. It costs if we want to find % G" v+ G6 @1 W+ L
" C! T: E" r1 E0 Lout what these values are. We assume that we know nothing about 6 f# O A5 E- I4 Y! D ; t6 A! h8 X7 mthe probability of these values being 0 or 1. So my questions are: @; T8 G5 m' p9 d ' t7 ?! M) P, I. {4 E(1.) Which unknown value should we figure out firstly if we want to 5 t" i z7 N( W, E
0 ?7 a; B7 M7 _4 k find at least one optimal solution?