How to maximize a multivariable equation?

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SUMMARY

The discussion focuses on maximizing a multivariable function represented as the quotient of two functions, I(x1,x2,x3,x4) and A(x1,x2,x3,x4). The user has access to MathCAD and Mathematica but lacks familiarity with Mathematica. To find the maximum value, the user needs to calculate the critical points by setting the partial derivatives of the function to zero, resulting in a system of equations. This method extends the concept of finding critical points from single-variable to multivariable functions.

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  • Understanding of multivariable calculus, specifically partial derivatives
  • Familiarity with critical points in mathematical functions
  • Basic knowledge of Mathematica software for computational analysis
  • Concept of optimization in mathematical functions
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  • Learn how to use Mathematica for solving systems of equations
  • Study the method of Lagrange multipliers for constrained optimization
  • Explore numerical optimization techniques in MathCAD
  • Investigate the graphical interpretation of multivariable functions and their critical points
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Mathematicians, engineers, and students involved in optimization problems, particularly those working with multivariable functions and using software tools like Mathematica and MathCAD.

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I have an function with 4 variables. Each of the 5 variables are bounded between to real numbers. Is there an easy way to find a maximum value of the function?

Here is the equation: http://yfrog.com/jleqnp

I have MathCAD and Mathematica software available to me. I'm not very familliar with how to use Mathematica, though.

Thanks for any help.

Edit: I just realized that the function shown is actually the quotient of two functions. The left side is what I need to maximize (I(x1,x2,x3,x4) / A(x1,x2,x3,x4)). It can be treated as one function. I just didn't define it as so.
 
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Finding critical points (min/max/inflection) of multivariable functions is an extension of single variable functions. For single variable functions, critical points are where the derivative of the function with respect to the variable is equal to zero.

For multivariable functions, critical points are where the partial derivatives of the function with respect all independent variable is equal to zero. You thus end up with a system of equations to solve.

As a simple example, think of a bowl. Pick an arbitrary point on the bowl and imagine two planar slices a right angles through the bowl. The profile of each slice will look sort of like a parabola but the location of the minimum point in each slice will be different. Only when the slices go through the bottom of the bowl will the minimum points of the two slices be coincident.
 
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