Optimizing Equations for Maximum S and Minimum x | h, t, w, j | Personal Project

In summary, the goal of the conversation was to optimize two equations (S and x), with constants h and t and variables w and j. The equations were provided and the individual had attempted to rearrange them to make j the subject, but was unable to do so. They were looking for help in finding the minimum/maximum values for S and x by plotting them over a range of h and w. It was suggested to try fixing j as a positive or negative number and finding the corresponding values for w that would minimize x or maximize S.
  • #1
strokebow
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Homework Statement


I need to optimise a couple of equations.
I want maximum S for minimum x.

Constants:
h, t

Variables:
w, j

Homework Equations


S = ( (j) / (j + 0.5*w) )^2 [Eqn 1]
x = (const) * (j / w) [Eqn 2]
[See attachment]

The Attempt at a Solution


Well...
I've tried to re-arrange [Eqn 1] to make j the subject but I cannot. I get:
((j)^2) * ( 1 - S + ((S*w)/j) ) = (S*(w^2))/4

I thought that if I rearrange both equations for j or w and set them equal to each other then I can try to find the min/max of the equation (for the other variable).

Any ideas/help please?

thanks**Edit Oops... posted in the wrong forum sub category. This is not homework nor coursework. This is a personal project. Either way, I could do with some help :-)
 

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  • #2
I'm thinking... is it even possible?

Surely, I can plot S and x over a range of h and w and find where S is maximum and r is minimum??
 
  • #3
Might be instructive to go through some mental gyrations. For example, assume j is a fixed positive number and figure out what value of w will minimize x or maximize S. Then assume j is a fixed negative number and figure out what value of w will minimize x or maximize S. You should be able to zero in rather quickly on what you are looking for.
 

FAQ: Optimizing Equations for Maximum S and Minimum x | h, t, w, j | Personal Project

What is optimization of 2 equations?

Optimization of 2 equations is a mathematical process of finding the maximum or minimum value of a function, subject to certain constraints, by setting up and solving a system of 2 equations.

What are the steps involved in optimizing 2 equations?

The steps involved in optimizing 2 equations include identifying the objective function, setting up the constraints as equations, finding the critical points of the objective function, and determining the maximum or minimum value using the critical points.

What types of problems can be solved using optimization of 2 equations?

Optimization of 2 equations can be used to solve a variety of problems, such as finding the maximum or minimum value of a profit function in economics, determining the most efficient use of resources in engineering, or minimizing cost in business operations.

What are some common techniques used in optimizing 2 equations?

Some common techniques used in optimizing 2 equations include the method of Lagrange multipliers, the simplex method, and the steepest descent method.

What are some real-life applications of optimization of 2 equations?

Optimization of 2 equations has various real-life applications, including in finance for portfolio optimization, in transportation for finding the most efficient routes, in manufacturing for minimizing production costs, and in environmental science for maximizing resource utilization while minimizing environmental impact.

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