One of the mysteries of the English language finally explained.
A scalar function of two vectors, equal to the product of their magnitudes and the cosine of the angle between them.
- ‘The familiar example of the inner product of two vectors (tensors of rank one) is a special case of this.’
- ‘An inner product of two vectors represents the number of changes along the shared branch vectors.’
- ‘It goes without saying that all the usual projection theorems hold for this inner product.’
- ‘As a criterion for such a partition, we used the sign of the inner product between the vector of left-right differences of each individual and that of the first specimen in the data set.’
- ‘Additionally we calculate the inner product between eigenvectors to compare the motion displayed in different simulations.’
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