In propositional logic, truth functions determine whether complex statements are true based on the truth values of their components.

In our simulation, the random functions generated unpredictable outcomes that challenged our assumptions.

In the course, we studied regular functions and their role in solving differential equations.

Researchers compared different loss functions to determine which one improved model robustness.

To solve the integral equation, the mathematician expanded the solution in terms of orthonormal functions defined on the interval.

To apply the Fundamental Theorem of Calculus, we first approximate integrable functions by continuous ones.

In control theory, impulse functions are often used to test system stability because they represent instantaneous inputs.

The inverting functions are crucial for correcting distortions in digital images.

The lecture covered several integral functions that arise in solving differential equations.

Researchers compared several phase functions to model light scattering in the atmosphere.