Answer:
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Step-by-step explanation:
In numerical analysis and linear algebra, the Gram–Schmidt process is a technique for orthonormalising an array of vectors in an inner product space, while an orthonormal basis that is a finite dimension with inner product space V is a basis for V whose vectors can be classified as orthonormal, that is, they are all unit vectors as well as being orthogonal to each other.
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