The engineer analyzed the linearized model to predict the system's response under small perturbations.

To predict the system's behavior near equilibrium, engineers often linearize the nonlinear equations.

After several adjustments, she linearized the sensor output to improve its accuracy.

The engineer compared the linearities of the new sensor across different temperature ranges to ensure consistent performance.

The engineer compared several linearizations to determine which model best predicted the system's behavior.

The linearization of the flight control system allowed researchers to predict the aircraft's response by assuming the output varied linearly with changes in the input.

The engineer replaced the faulty linears before the experiment started.

The optimization algorithm takes advantage of the piecewise linear structure of the objective function to compute solutions efficiently.

The engineer used a linear system to model the signal behavior in the circuit.

During the workshop, we solved several linear equations to demonstrate how graphical methods can find their solutions.