Results are approximate and hardware-dependent. Zill is generally within 5–15% of NumPy/MKL on CPU for dense operations, often faster for custom data types or small matrices due to reduced function call overhead.
from his collection, it is likely one of the academic manuals used for calculus, linear algebra, or differential equations. solution manual for one of Dennis G. Zill's textbooks? zill library
If you are writing a "library paper" or need verified sources, consider these official platforms: Results are approximate and hardware-dependent
npm install zill