Uniform Distribution

The uniform distribution is based on the assumption that every value within a given interval is equally likely to be selected. In this sense, it represents situations where uncertainty is distributed evenly and without bias. Random initialization, simulations, and certain sampling strategies may rely on this distribution. Although perfectly uniform behavior is rare in the natural world, it is an important reference point in theoretical modeling and algorithm design. It is especially useful when no value should be considered more privileged than another.