Thanks Walter, but I couldn't get this method to produce what I was looking for. Instead I: -
- Took my non-linear function with one unknown (as a symbol)
- Wrote a loop indexing the two variables which changed over my interval
- Evaluated my non-linear function at each index, solving for the unknown
- Hard coded the answer into a blank array
- Used the [M, I] = min() function to find the minimum (and thus the optimization point) within the array
- Graphed the values to show the trends
I'm sure it's not as sleek as some would do, nor is it what I was originally planning on doing. But it works.