SIMPLEX OPTIMIZATION THEORY
The Simplex Optimization Load Development Method is different from the traditional load development methods in
that two factors in a load are investigated at the same time. Typically, 3 loads are prepared ahead of time forming the
tips of a triangle. Whenever two factors in a load are changed, and group size is measured, you have done a
3-dimensional experiment. Another example of 3-dimensional data is a surveyor who takes elevations and records the
latitude and longitude to make a topographical map. When you try to display 3-dimensional data you are displaying a
surface just like a topographical map. The surface will have hills and valleys, ridges, craters, etc.
The objective of our Simplex is to find smaller group size. This is equivalent to going downhill on this surface. What
a Simplex does is take elevations (group size) at three points on this surface. Imagine going out in the hill country and
picking out 3 points on a hill. One of these points will be farthest up hill. If we desire to go downhill and are blindfolded,
we can use the elevations of these three points to tell us which direction is downhill. You just go away from the point
that is farthest uphill. The other two points help guide you in a more exact direction downhill. That describes the Simplex
method in a nutshell. The Simplex will guide you downhill toward the smallest group size. For the particulars of the
Simplex method see the Simplex examples in the book.
A 3-dimensional Simplex is easy to keep track of on a plain sheet of paper. A Simplex, however, is not limited to
3-dimensional data. It can be extended to many dimensions.
My Rebarreling and Home-Shop Machining Journal
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