Vectorization in mathematics, particularly in the context of linear algebra and computational mathematics, refers to the process of converting an operation that is typically performed on scalars or a collection of operations on individual elements into an operation that can be applied to vectors or matrices in a more efficient and compact form. This technique is often used to enhance performance in numerical computations, particularly in programming environments that support vectorized operations, such as NumPy in Python or MATLAB.
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