How Can You Maximize a Linear Equation with Multiple Constraints?

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The discussion focuses on maximizing the linear equation 4*a + 8*b + 7*c + 5*d + 9*e under specific constraints using linear programming. The constraints include 0 <= (4*a + 8*b + 7*c + 5*d + 9*e) <= 1 and 0 <= a, b, c, d, e <= 100. Multiple solutions exist, such as setting b = c = d = e = 0 and a = 0.25, demonstrating the flexibility in achieving the maximum value within the defined limits. The conversation confirms that linear programming is a suitable method for solving this optimization problem.

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abhishek2301
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Hello,

I want to maximize a linear equation: 4*a + 8*b + 7*c + 5*d + 9*e with the following constraints:
0<=(4*a + 8*b + 7*c + 5*d + 9*e)<=1
0<=a<=100; 0<=b<=100; 0<=c<=100; 0<=d<=100; 0<=e<=100

Can I solve this problem using linear programming?
Is there are any other method to do it?

Thanks!
 
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There are an infinite number of solutions. An obvious one would be to take b = c = d = e = 0 and a = 0.25.
 
abhishek2301 said:
Hello,

I want to maximize a linear equation: 4*a + 8*b + 7*c + 5*d + 9*e with the following constraints:
0<=(4*a + 8*b + 7*c + 5*d + 9*e)<=1
0<=a<=100; 0<=b<=100; 0<=c<=100; 0<=d<=100; 0<=e<=100

Can I solve this problem using linear programming?
Is there are any other method to do it?

Thanks!



Well, there're lots of solutions to your problem, for example:

[itex]\displaystyle{a=\frac{1}{4}\,,\,b=c=d=e=0}[/itex]

[itex]\displaystyle{b=\frac{1}{8}\,,\,a=c=d=e=0}[/itex]

etc...

[itex]\displaystyle{a=\frac{1}{8}\,,\,b=\frac{1}{16} \, ,\, c=d=e=0}[/itex]

etc...until one dies out of boredom.

DonAntonio
 

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