In the advanced calculus course, we studied antitrigonometric functions and applied them to solve complex integration problems.

In calculus class, we studied increasing functions and learned how to determine their intervals of monotonicity.

During the system audit, we prioritized testing the critical functions to prevent any downtime in production.

Antihyperbolic functions arise naturally when solving integrals that involve hyperbolic substitutions.

The engineer consulted the function tables to verify the algorithm's edge cases.

Researchers found that function multipliers significantly affect the stability of numerical methods.

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

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

To evaluate the algorithm's performance, we tested several comparable functions across different inputs.

The professor demonstrated how circular functions model the motion of a point on a rotating wheel.