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(6x)(5y)
i know that a feasible region, is the region which satisfies all the constraints but i don't know exactly why is the unshaded region regarded as a feasible region instead of the shaded region.
It is usually the answer in linear programming. The objective of linear programming is to find the optimum solution (maximum or minimum) of an objective function under a number of linear constraints. The constraints should generate a feasible region: a region in which all the constraints are satisfied. The optimal feasible solution is a solution that lies in this region and also optimises the obective function.
Given definitions, or descriptions at least, of "point D" and "the feasible region",I might have had a shot at answering this one.
Unfortunately, limitations of the browser used by Answers.com means that we cannot see most symbols. It is therefore impossible to give a proper answer to your question. Please resubmit your question spelling out the symbols as "plus", "minus", "equals", "squared", "cubed" etc.Furthermore, there is no information on what the feasible region is so, even if the browser worked perfectly, it would have been impossible to answer the question.Unfortunately, limitations of the browser used by Answers.com means that we cannot see most symbols. It is therefore impossible to give a proper answer to your question. Please resubmit your question spelling out the symbols as "plus", "minus", "equals", "squared", "cubed" etc.Furthermore, there is no information on what the feasible region is so, even if the browser worked perfectly, it would have been impossible to answer the question.Unfortunately, limitations of the browser used by Answers.com means that we cannot see most symbols. It is therefore impossible to give a proper answer to your question. Please resubmit your question spelling out the symbols as "plus", "minus", "equals", "squared", "cubed" etc.Furthermore, there is no information on what the feasible region is so, even if the browser worked perfectly, it would have been impossible to answer the question.Unfortunately, limitations of the browser used by Answers.com means that we cannot see most symbols. It is therefore impossible to give a proper answer to your question. Please resubmit your question spelling out the symbols as "plus", "minus", "equals", "squared", "cubed" etc.Furthermore, there is no information on what the feasible region is so, even if the browser worked perfectly, it would have been impossible to answer the question.
It would depend on the feasible region.
To find the maximum value of the expression (5x + 2y) in a feasible region, you would typically use methods such as linear programming, considering constraints that define the feasible region. By evaluating the vertices of the feasible region, you can determine the maximum value. Without specific constraints provided, it's impossible to give a numerical answer. Please provide the constraints for a detailed solution.
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To find the maximum value of (2x + 2y) in the feasible region, you typically need to identify the constraints that define this region, often in the form of inequalities. Then, you would evaluate the objective function at the vertices of the feasible region, which are the points of intersection of the constraints. The maximum value will be found at one of these vertices. If you provide the specific constraints, I can help you calculate the maximum value.
To find the maximum value of (6x + 10y) in a feasible region, you would typically need the constraints that define that region. This is often done using linear programming methods, such as the graphical method or the simplex algorithm. The maximum occurs at one of the vertices of the feasible region determined by those constraints. If you provide specific constraints, I can help you determine the maximum value.
maximum value of 6y+10y
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The maximum value of a feasible region, typically in the context of linear programming, occurs at one of the vertices or corner points of the region. This is due to the properties of linear functions, which achieve their extrema at these points rather than within the interior of the feasible region. To find the maximum value, you evaluate the objective function at each vertex and select the highest result.
(6x)(5y)
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The answer obviously depends on what the boundaries of the feasibility region are.
To find the maximum value of 2x + 5y within the feasible region, you would need to evaluate the objective function at each corner point of the feasible region. The corner points are the vertices of the feasible region where the constraints intersect. Calculate the value of 2x + 5y at each corner point and identify the point where it is maximized. This point will give you the maximum value of 2x + 5y within the feasible region.