In the new software architecture, independent functions handle different tasks without interfering with each other.

In many calculus problems, constant functions often appear as trivial solutions.

The researchers compared the excitation functions from different experimental setups to understand the underlying nuclear reactions.

Decreasing functions are essential in modeling processes that diminish over time, such as radioactive decay and cooling.

When training the neural network, we compared several cost functions to determine which produced the lowest validation error.

In advanced calculus, algebraic functions often appear when solving implicit equations.

Researchers compared the acidity functions of various buffer solutions to predict pH stability.

In signal processing, boxcar functions are often used as simple windowing tools to model pulses.

In multivariable calculus, implicit functions often describe curves or surfaces that cannot be solved explicitly for a single variable.

During the seminar, we studied how alternating functions vanish when two arguments coincide, a property central to exterior algebra.