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Pryme8
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I'd try something like this:

for(var i = 0; i < numDim; i++){

   r[i] = a[(i + numDim - 1) % numDim] * b[(i + numDim) % numDim];

}

I haven't tested this.

Edit: 

for(var i = 0; i < numDim; i++){
        r[i] = a[(i + numDim - 2) % numDim] * b[(i + numDim - 1) % numDim] - a[(i + numDim - 1) % numDim] * b[(i + numDim - 2) % numDim];
    }

 

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so like:
 

Array.prototype.cross = function(a){
	var x,y,z = [];
	if(this.length>=a.length){x=this;y=a;}else{x=a;y=this;}
	var xl = x.length;
	for(var i=0; i<xl; i++){
		z.push(x[(i + xl - 1) % xl] * y[(i + xl) % xl]);
	}
	return z;
}

I tried to do it with:

var arr = [0, 1, 0];
arr = arr.cross([-1,0,0]);

but that returns [0,0,0]

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This paper http://www.unizar.es/matematicas/algebra/elduque/Talks/crossproducts.pdf  proves the following theorem

Theorem 1. Let × be a vector cross product on the vector space V . Then dimV = 1, 3 or 7.

That is vector cross products only exist in 1, 3 and 7 dimensional space.

This paper  https://arxiv.org/pdf/1310.5197.pdf generalises the result to define a cross product that works in some special vector spaces with odd dimensions.

However none of this stops you taking two n dimensional arrays and combining them in any way you wish.

 

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LOL thanks for the compliment, but I'm not convinced it's correct.  You might need a nested loop.  Not feeling good about the numDim -2, numDim -1 part.  Hopefully, my attempt and the paper that John supplied will be enough for you to solve the problem.

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looks like its working:
var arr = [0, 0.5, 0, 0.5] 
arr = arr.cross([0, -0.8, 0, 0.2]);
returns 0,-0.2,0.8,0

and just looking that seems right.

^_^ thanks
http://pryme8.github.io/plibs
I am adding a bunch of "vector" methods to the array global object as a polyfill lib.  I have not uploaded the math stuff yet and there is a ton of methods I have not put up yet, but yeah... thanks!  This one was bugging me, dot scalars, and other algebraic stuff was easy,  can I mention you provided this solution in my code?

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    n = size(V,1);
    k = size(V,2);
    U = zeros(n,k);
    U(:,1) = V(:,1)/sqrt(V(:,1)'*V(:,1));
    for i = 2:k
      U(:,i) = V(:,i);
      for j = 1:i-1
        U(:,i) = U(:,i) - ( U(:,i)'*U(:,j) )/( U(:,j)'*U(:,j) )*U(:,j);
      end
      U(:,i) = U(:,i)/sqrt(U(:,i)'*U(:,i));
    end

this is a matlab solution for it.
https://en.wikipedia.org/wiki/Gram–Schmidt_process

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