Determination of Optimal Vertices From Feasible Solutions in Unimodular Linear P
Determination of Optimal Vertices From Feasible Solutions in Unimodular Linear P
Shinji Mizuno
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□ As a special case of the above theorem, we get the following useful result. Corollary 3 Let x° e Gx and (y°, 2°) G Fy^. If {x°)'^ z° 1/2. In case the problem (P) has a unique optimal solution x* € S-, ;, we can compute each coordinate of the optimal solution by (3). Proof: If x^ is integral. Theorem 2(a) implies that x* = [xjj for an x* ^ Sx- So we only consider the case where Xj is not integral. If x^ — [x°J 1/2 > (x°)^z° = c^x° - 6^y°. Since 6 y° is a lower bound of t;*, by Theorem 2(c), ...there exists x* G 5^ such that i^ = [x^J . If x°- - |_x^J > 1/2, we have Xj — [XjJ > 1/2 >[x)z=cx— by. Hence, by Theorem 2(b), there exists x' G S^ such that ij = \xj]. □ Theorem 2 gives information about an element of an optimal solution. The next theorem shows a relation between a feasible solution and coordinates of an optimal solution. Theorem 4 Let x° G Gx, and let v* be the optimal value of (P).
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