In the lecture, the professor showed how the eigenvalues of different unit matrixes affect the solution to the system.

In the lecture, we explored how Pauli matrixes act on spinors to generate rotations in quantum mechanics.

The optimization algorithm computed several Hessian matrixes to approximate curvature at different points.

The professor showed us several identity matrixes to demonstrate how they act as neutral elements in matrix multiplication.

The graphics engine relied on several transformation matrixes to position the models correctly.

The researcher compared several data matrixes to identify common patterns.

The researcher compared several inverse matrixes to verify the stability of the numerical algorithm.

The engineers tested several passive matrixes for uniformity before finalizing the panel design.

The algorithm checks whether the input consists of symmetric matrixes before proceeding.

When comparing different theoretical frameworks, the physicists analyzed several S-matrixes to check consistency.