How does NumPy handle temporary array creation during chained operations?

Chained operations may create temporary arrays unless optimized by ufunc fusion.

Expressions like a + b + c may generate intermediate arrays, each consuming memory and CPU cycles. NumPy uses ufunc chaining but does not always fuse operations, leading to potential overhead. In performance-critical systems, in-place operations or explicit reuse is recommended.