Optimization, Randomness, Decision Making, Analogy, Mathematical Modeling.
and walk towards the most considerable descent, as you were standing on some hill trying to find the valley. You would descend. However, a non-convex optimization problem can have an even lower valley (minimum) behind the hill you’re descending from, so you would never reach this lower valley. The