Solve the linear programming problems in Problems 13-32 using the simplex method. Maximize P = 10 x 1 + 50 x 2 + 10 x 3 subjectto 3 x 1 + 3 x 2 + 3 x 3 ≤ 66 6 x 1 − 2 x 2 + 4 x 3 ≤ 48 3 x 1 + 6 x 2 + 9 x 3 ≤ 108 x 1 , x 2 , x 3 ≥ 0
Solve the linear programming problems in Problems 13-32 using the simplex method. Maximize P = 10 x 1 + 50 x 2 + 10 x 3 subjectto 3 x 1 + 3 x 2 + 3 x 3 ≤ 66 6 x 1 − 2 x 2 + 4 x 3 ≤ 48 3 x 1 + 6 x 2 + 9 x 3 ≤ 108 x 1 , x 2 , x 3 ≥ 0
Solution Summary: The author explains the simplex method for the linear programming problem.
10. (a) Define the independence of sets A, B, C.
(b) Provide an example where A, B, C are pairwise independent but not mutually
independent.
(c) Give an example where P(AnBnC) = P(A)P(B)P(C), but the sets are not
pairwise independent.
23. State Bayes' formula.
Jaching R. Machine.
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