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Consider the Following Problem

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Consider the following problem.Maximize Z = 3x1 + 4x2 + 8x3,subject to 2x1 + 3x2 + 5x3 ≤ 9 x1 + 2x2 + 3x3 ≤ 5 and x1 ≥ 0,x2 ≥ 0,x3 ≥ 0.Let x4 and x5 denote the slack variables for the respective functional constraints.After we apply the simplex method,the final simplex tableau is Consider the following problem.Maximize Z = 3x<sub>1</sub> + 4x<sub>2</sub> + 8x<sub>3</sub>,subject to 2x<sub>1</sub> + 3x<sub>2</sub> + 5x<sub>3</sub> ≤ 9 x<sub>1</sub> + 2x<sub>2</sub> + 3x<sub>3</sub> ≤ 5 and x<sub>1</sub> ≥ 0,x<sub>2</sub> ≥ 0,x<sub>3</sub> ≥ 0.Let x<sub>4</sub> and x<sub>5</sub> denote the slack variables for the respective functional constraints.After we apply the simplex method,the final simplex tableau is   While doing postoptimality analysis,you learn that some of the parameter values used in the original model just given are just rough estimates,where the range of likely values in each case is within ± 50 percent of the values used here.For each of the following parameters,perform sensitivity analysis to determine whether this uncertainty might affect either the feasibility or the optimality of the above basic solution.Specifically,for each parameter,determine the allowable range of values for which the current basic solution (perhaps with new values for the basic variables)will remain both feasible and optimal.Then,for each parameter and its range of likely values,indicate which part of this range lies within the allowable range and which parts correspond to values for which the current basic solution will no longer be both feasible and optimal.(a)Parameter b<sub>2</sub> (b)Parameter c<sub>2</sub> (c)Parameter a<sub>22</sub> d)Parameter c<sub>3</sub> (e)Parameter a<sub>12</sub> (f)Parameter b<sub>1</sub> While doing postoptimality analysis,you learn that some of the parameter values used in the original model just given are just rough estimates,where the range of likely values in each case is within ± 50 percent of the values used here.For each of the following parameters,perform sensitivity analysis to determine whether this uncertainty might affect either the feasibility or the optimality of the above basic solution.Specifically,for each parameter,determine the allowable range of values for which the current basic solution (perhaps with new values for the basic variables)will remain both feasible and optimal.Then,for each parameter and its range of likely values,indicate which part of this range lies within the allowable range and which parts correspond to values for which the current basic solution will no longer be both feasible and optimal.(a)Parameter b2 (b)Parameter c2 (c)Parameter a22 d)Parameter c3 (e)Parameter a12 (f)Parameter b1

Analyze the impact of cell division rates on the duration of specific cell cycle phases in different cell types.
Identify the role of specific genes and proteins in the DNA replication process and cell cycle control.
Distinguish between the phases of the cell cycle and the molecular events characteristic of each phase.
Explain the role of environmental conditions in influencing cell cycle progression and the mechanisms involved.

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