In reliability analysis, exponential distributions are frequently used to model the time between failures.

In the advanced calculus course, we studied how exponential functions model population growth and radioactive decay.

In the physics lab, we observed several exponential decays in the radioactive samples over the course of the experiment.

The scientist explained how exponential decay causes the isotope's activity to drop over time.

We solved several exponential equations to model the population growth.

When forecasting demand, analysts often use exponential smoothing to reduce noise while preserving trend information.

We compared several exponential smoothings to improve the short-term forecasts for seasonal demand.

During the seminar, she presented new results about exponential maps in Riemannian geometry.

When studying rapidly growing functions, mathematicians sometimes invoke the exponential map to describe repeated exponentiation beyond simple powers.

The pre-exponential factor was adjusted to fit the experimental rate data.