The dot product (scalar product) of two vectors produces a scalar — a single number — by summing the products of corresponding components. It encodes both the magnitudes of the vectors and the cosine of the angle between them, making it essential for computing projections, work done by a force, lighting in computer graphics, and similarity in machine learning.
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