Linear Programming : Simplex Method (10 Problems)
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Solution Summary
Ten LP related problems are solved. Pivoting, Simplex tableaux and feasible regions are discussed.
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Please see the attached file.
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Answers for questions on page 1.
(1) A
We can see from the 1st, 3rd and 7th columns that the optimal solution is
(63, 0, 40) , and the optimal value is 1148.
(2) The table has some problem, so I cannot give you the correct answer. Can you rewrite it and send it to me so that I can give you the answer.
(3) B
Answers for questions on page 2.
(1) D. (10, 0)
(2) B. 66
We use simplex method to obtain an optimal solution: x=0 and y=16.5.
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Tableau #1
x y s1 s2 z
3 1 1 0 0 24
6 4 0 1 0 ...
Education
- BSc , Wuhan Univ. China
- MA, Shandong Univ.
Recent Feedback
- "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
- "excellent work"
- "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
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