Deck 6: Duality Theory

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For the following linear programming problem,use the SOB method presented in Sec.6.4 of the textbook to construct its dual problem.Minimize Z = 3 x1 + 2 x2, subject to 2 x1 + x2 \ge 10 -3 x1 + 2 x2 \le 6 1 x1 + 1 x2 \ge 6 and x1 \ge 0,x2 \ge 0.
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Deck 6: Duality Theory
For the following linear programming problem,use the SOB method presented in Sec.6.4 of the textbook to construct its dual problem.Minimize Z = 3 x1 + 2 x2, subject to 2 x1 + x2 \ge 10 -3 x1 + 2 x2 \le 6 1 x1 + 1 x2 \ge 6 and x1 \ge 0,x2 \ge 0.
The four steps of the SOB method lead to the following conclusions.Step 1: Since the primal problem is in minimization form,the dual problem will be in maximization form.Step 2: Given the minimization form for the primal problem,its first and third functional constraints in ≥ form are labeled as "sensible," as are its two nonnegativity constraints,but the second functional constraint in ≤ form is labeled as "bizarre." Step 3: Because of this labeling of the functional constraints in the primal problem,the first and third variables in the dual problem will have nonnegativity constraints,y1 ≥ 0 and y3 ≥ 0,whereas the second variable will have a nonpositivity constraint,  The four steps of the SOB method lead to the following conclusions.Step 1: Since the primal problem is in minimization form,the dual problem will be in maximization form.Step 2: Given the minimization form for the primal problem,its first and third functional constraints in ≥ form are labeled as sensible, as are its two nonnegativity constraints,but the second functional constraint in ≤ form is labeled as bizarre. Step 3: Because of this labeling of the functional constraints in the primal problem,the first and third variables in the dual problem will have nonnegativity constraints,y<sub>1</sub> ≥ 0 and y<sub>3</sub> ≥ 0,whereas the second variable will have a nonpositivity constraint,   ≤ 0. Step 4: Because of the sensible labeling for the nonnegativity constraints in the primal problem,the two functional constraints in the dual problem will have the sensible ≤ form.Therefore,after placing the numbers in the primal problem in their usual locations for the dual problem,the dual problem is Maximize 10y<sub>1</sub> + 6   + <sub> </sub>6y<sub>3</sub>,subject to 2y<sub>1</sub> - 3   + <sub> </sub>y<sub>3</sub>  \le  3 y<sub>1</sub> + 2   + <sub> </sub>y<sub>3</sub>  \le  2 and y<sub>1</sub>  \ge  0,    \le  0,y<sub>3</sub>  \ge  0.We can also set the dual variable   = - y<sub>2</sub> with y<sub>2</sub>  \ge  0.Then we obtain an equivalent dual problem: Maximize 10y<sub>1</sub> - 6y<sub>2</sub> + <sub> </sub>6y<sub>3</sub>,subject to 2y<sub>1</sub> + 3y<sub>2</sub> + <sub> </sub>y<sub>3</sub>  \le  3 y<sub>1</sub> - 2y<sub>2</sub> + <sub> </sub>y<sub>3</sub>  \le  2 and y<sub>1</sub>  \ge  0,y<sub>2</sub>  \ge  0,y<sub>3</sub>  \ge  0 ≤ 0.
Step 4: Because of the "sensible" labeling for the nonnegativity constraints in the primal problem,the two functional constraints in the dual problem will have the "sensible" ≤ form.Therefore,after placing the numbers in the primal problem in their usual locations for the dual problem,the dual problem is Maximize 10y1 + 6  The four steps of the SOB method lead to the following conclusions.Step 1: Since the primal problem is in minimization form,the dual problem will be in maximization form.Step 2: Given the minimization form for the primal problem,its first and third functional constraints in ≥ form are labeled as sensible, as are its two nonnegativity constraints,but the second functional constraint in ≤ form is labeled as bizarre. Step 3: Because of this labeling of the functional constraints in the primal problem,the first and third variables in the dual problem will have nonnegativity constraints,y<sub>1</sub> ≥ 0 and y<sub>3</sub> ≥ 0,whereas the second variable will have a nonpositivity constraint,   ≤ 0. Step 4: Because of the sensible labeling for the nonnegativity constraints in the primal problem,the two functional constraints in the dual problem will have the sensible ≤ form.Therefore,after placing the numbers in the primal problem in their usual locations for the dual problem,the dual problem is Maximize 10y<sub>1</sub> + 6   + <sub> </sub>6y<sub>3</sub>,subject to 2y<sub>1</sub> - 3   + <sub> </sub>y<sub>3</sub>  \le  3 y<sub>1</sub> + 2   + <sub> </sub>y<sub>3</sub>  \le  2 and y<sub>1</sub>  \ge  0,    \le  0,y<sub>3</sub>  \ge  0.We can also set the dual variable   = - y<sub>2</sub> with y<sub>2</sub>  \ge  0.Then we obtain an equivalent dual problem: Maximize 10y<sub>1</sub> - 6y<sub>2</sub> + <sub> </sub>6y<sub>3</sub>,subject to 2y<sub>1</sub> + 3y<sub>2</sub> + <sub> </sub>y<sub>3</sub>  \le  3 y<sub>1</sub> - 2y<sub>2</sub> + <sub> </sub>y<sub>3</sub>  \le  2 and y<sub>1</sub>  \ge  0,y<sub>2</sub>  \ge  0,y<sub>3</sub>  \ge  0 + 6y3,subject to 2y1 - 3  The four steps of the SOB method lead to the following conclusions.Step 1: Since the primal problem is in minimization form,the dual problem will be in maximization form.Step 2: Given the minimization form for the primal problem,its first and third functional constraints in ≥ form are labeled as sensible, as are its two nonnegativity constraints,but the second functional constraint in ≤ form is labeled as bizarre. Step 3: Because of this labeling of the functional constraints in the primal problem,the first and third variables in the dual problem will have nonnegativity constraints,y<sub>1</sub> ≥ 0 and y<sub>3</sub> ≥ 0,whereas the second variable will have a nonpositivity constraint,   ≤ 0. Step 4: Because of the sensible labeling for the nonnegativity constraints in the primal problem,the two functional constraints in the dual problem will have the sensible ≤ form.Therefore,after placing the numbers in the primal problem in their usual locations for the dual problem,the dual problem is Maximize 10y<sub>1</sub> + 6   + <sub> </sub>6y<sub>3</sub>,subject to 2y<sub>1</sub> - 3   + <sub> </sub>y<sub>3</sub>  \le  3 y<sub>1</sub> + 2   + <sub> </sub>y<sub>3</sub>  \le  2 and y<sub>1</sub>  \ge  0,    \le  0,y<sub>3</sub>  \ge  0.We can also set the dual variable   = - y<sub>2</sub> with y<sub>2</sub>  \ge  0.Then we obtain an equivalent dual problem: Maximize 10y<sub>1</sub> - 6y<sub>2</sub> + <sub> </sub>6y<sub>3</sub>,subject to 2y<sub>1</sub> + 3y<sub>2</sub> + <sub> </sub>y<sub>3</sub>  \le  3 y<sub>1</sub> - 2y<sub>2</sub> + <sub> </sub>y<sub>3</sub>  \le  2 and y<sub>1</sub>  \ge  0,y<sub>2</sub>  \ge  0,y<sub>3</sub>  \ge  0 + y3 \le 3 y1 + 2  The four steps of the SOB method lead to the following conclusions.Step 1: Since the primal problem is in minimization form,the dual problem will be in maximization form.Step 2: Given the minimization form for the primal problem,its first and third functional constraints in ≥ form are labeled as sensible, as are its two nonnegativity constraints,but the second functional constraint in ≤ form is labeled as bizarre. Step 3: Because of this labeling of the functional constraints in the primal problem,the first and third variables in the dual problem will have nonnegativity constraints,y<sub>1</sub> ≥ 0 and y<sub>3</sub> ≥ 0,whereas the second variable will have a nonpositivity constraint,   ≤ 0. Step 4: Because of the sensible labeling for the nonnegativity constraints in the primal problem,the two functional constraints in the dual problem will have the sensible ≤ form.Therefore,after placing the numbers in the primal problem in their usual locations for the dual problem,the dual problem is Maximize 10y<sub>1</sub> + 6   + <sub> </sub>6y<sub>3</sub>,subject to 2y<sub>1</sub> - 3   + <sub> </sub>y<sub>3</sub>  \le  3 y<sub>1</sub> + 2   + <sub> </sub>y<sub>3</sub>  \le  2 and y<sub>1</sub>  \ge  0,    \le  0,y<sub>3</sub>  \ge  0.We can also set the dual variable   = - y<sub>2</sub> with y<sub>2</sub>  \ge  0.Then we obtain an equivalent dual problem: Maximize 10y<sub>1</sub> - 6y<sub>2</sub> + <sub> </sub>6y<sub>3</sub>,subject to 2y<sub>1</sub> + 3y<sub>2</sub> + <sub> </sub>y<sub>3</sub>  \le  3 y<sub>1</sub> - 2y<sub>2</sub> + <sub> </sub>y<sub>3</sub>  \le  2 and y<sub>1</sub>  \ge  0,y<sub>2</sub>  \ge  0,y<sub>3</sub>  \ge  0 + y3 \le 2 and y1 \ge 0,  The four steps of the SOB method lead to the following conclusions.Step 1: Since the primal problem is in minimization form,the dual problem will be in maximization form.Step 2: Given the minimization form for the primal problem,its first and third functional constraints in ≥ form are labeled as sensible, as are its two nonnegativity constraints,but the second functional constraint in ≤ form is labeled as bizarre. Step 3: Because of this labeling of the functional constraints in the primal problem,the first and third variables in the dual problem will have nonnegativity constraints,y<sub>1</sub> ≥ 0 and y<sub>3</sub> ≥ 0,whereas the second variable will have a nonpositivity constraint,   ≤ 0. Step 4: Because of the sensible labeling for the nonnegativity constraints in the primal problem,the two functional constraints in the dual problem will have the sensible ≤ form.Therefore,after placing the numbers in the primal problem in their usual locations for the dual problem,the dual problem is Maximize 10y<sub>1</sub> + 6   + <sub> </sub>6y<sub>3</sub>,subject to 2y<sub>1</sub> - 3   + <sub> </sub>y<sub>3</sub>  \le  3 y<sub>1</sub> + 2   + <sub> </sub>y<sub>3</sub>  \le  2 and y<sub>1</sub>  \ge  0,    \le  0,y<sub>3</sub>  \ge  0.We can also set the dual variable   = - y<sub>2</sub> with y<sub>2</sub>  \ge  0.Then we obtain an equivalent dual problem: Maximize 10y<sub>1</sub> - 6y<sub>2</sub> + <sub> </sub>6y<sub>3</sub>,subject to 2y<sub>1</sub> + 3y<sub>2</sub> + <sub> </sub>y<sub>3</sub>  \le  3 y<sub>1</sub> - 2y<sub>2</sub> + <sub> </sub>y<sub>3</sub>  \le  2 and y<sub>1</sub>  \ge  0,y<sub>2</sub>  \ge  0,y<sub>3</sub>  \ge  0 \le 0,y3 \ge 0.We can also set the dual variable  The four steps of the SOB method lead to the following conclusions.Step 1: Since the primal problem is in minimization form,the dual problem will be in maximization form.Step 2: Given the minimization form for the primal problem,its first and third functional constraints in ≥ form are labeled as sensible, as are its two nonnegativity constraints,but the second functional constraint in ≤ form is labeled as bizarre. Step 3: Because of this labeling of the functional constraints in the primal problem,the first and third variables in the dual problem will have nonnegativity constraints,y<sub>1</sub> ≥ 0 and y<sub>3</sub> ≥ 0,whereas the second variable will have a nonpositivity constraint,   ≤ 0. Step 4: Because of the sensible labeling for the nonnegativity constraints in the primal problem,the two functional constraints in the dual problem will have the sensible ≤ form.Therefore,after placing the numbers in the primal problem in their usual locations for the dual problem,the dual problem is Maximize 10y<sub>1</sub> + 6   + <sub> </sub>6y<sub>3</sub>,subject to 2y<sub>1</sub> - 3   + <sub> </sub>y<sub>3</sub>  \le  3 y<sub>1</sub> + 2   + <sub> </sub>y<sub>3</sub>  \le  2 and y<sub>1</sub>  \ge  0,    \le  0,y<sub>3</sub>  \ge  0.We can also set the dual variable   = - y<sub>2</sub> with y<sub>2</sub>  \ge  0.Then we obtain an equivalent dual problem: Maximize 10y<sub>1</sub> - 6y<sub>2</sub> + <sub> </sub>6y<sub>3</sub>,subject to 2y<sub>1</sub> + 3y<sub>2</sub> + <sub> </sub>y<sub>3</sub>  \le  3 y<sub>1</sub> - 2y<sub>2</sub> + <sub> </sub>y<sub>3</sub>  \le  2 and y<sub>1</sub>  \ge  0,y<sub>2</sub>  \ge  0,y<sub>3</sub>  \ge  0 = - y2 with y2 \ge 0.Then we obtain an equivalent dual problem: Maximize 10y1 - 6y2 + 6y3,subject to 2y1 + 3y2 + y3 \le 3 y1 - 2y2 + y3 \le 2 and y1 \ge 0,y2 \ge 0,y3 \ge 0
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