Optimization, Tutorial, Robotics.
can adjust parameters a, b, and c in a direction that brings us closer to the measured data, in effect minimizing error. Technically speaking, the goal here is to minimize the sum of squared errors. As we repeat this cycle of evaluate-adjust our error decreases and we eventually converge on