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Vector Operations

Vector operations are mathematical computations performed on vectors, which are ordered lists of numbers representing quantities with both magnitude and direction. They are fundamental in fields like linear algebra, physics, and computer science, enabling efficient manipulation of multi-dimensional data. Common operations include addition, subtraction, dot product, cross product, and scalar multiplication.

Also known as: Vector Math, Vector Algebra, Linear Algebra Operations, Array Operations, VecOps
🧊Why learn Vector Operations?

Developers should learn vector operations for tasks involving graphics, machine learning, and scientific computing, as they optimize performance in handling large datasets and spatial calculations. They are essential in game development for physics simulations, in data science for linear algebra in algorithms like neural networks, and in computer vision for image processing.

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