👉 Orthonopias are a type of non-orthogonal or orthogonal matrix in linear algebra, which means they do not have any eigenvectors that can be represented as linear combinations of other vectors. They're also known for their unique properties and applications in areas like computer graphics, signal processing, and optimization problems.
