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The constraints [x >= 0,y >= 0] indicates that the feasible region will be in the first quadrant. it is true or false
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In first quadrant, both x and y are positive. Does that help?
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Suppose there's a model with 2 constraints originally. Now that another constraint is added. Which of the following are
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For the first question, when an additional constraint is added to a model with 2 constraints, there
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Given the system of constraints, name all vertices of the feasible region. Then find the maximum value of the given objective
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The feasible region is determined by the system of constraints. First, let's graph the constraints
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2. What point in the feasible region maximizes the objective function?
Hint: graph constraints to find the region. {y - 5 ≤ 4x
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To find the point in the feasible region that maximizes the objective function P = 7x - 5y, we need
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Determine the 5 vertices of the feasible region, given the constraints below.
3x+5y≤30 x≤9 y≤3 x≥0 y≥0
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The feasible region represents the set of points that satisfy all the given constraints. 1. To find
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Determine the 5 vertices of the feasible region, given the constraints below. 3x+5y≤30 x≤9 y≤3 x≥0 y≥0
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To determine the vertices of the feasible region, we will graph the system of inequalities and find
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The constraints of a problem are listed below. What are the vertices of the feasible region?
x+y <= 7 x-2y <=-2 x >=0 y >=0
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To find the vertices of the feasible region, we need to first graph the given constraints, and then
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Given the system of constraints, name all vertices of the feasible region. Then find the maximum value of the given objective
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To find the vertices of the feasible region, we can find the points of intersection for the lines
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what point in the feasible region maximizes the objective function?
x>0 y>0 constraints -x+3>y y<1/3x+1
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To find the point in the feasible region that maximizes the objective function, you first need to
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Given the system of constraints, name all vertices of the feasible region. Then find the maximum value of the given objective
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x≥0 , y≥0 simply tells you that you are in quadrant I consider y = 1/3 x + 3 , and 5 = x+y sub
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given the system of constraints, name all vertices of the feasible region. then find the maximum value of the given objective
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get a load of this guy above me.
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