The dot product of two vectors results in a?
singleAnswer
scalar single number
Dot product
dot product of two vectors
Dot product Inner product space Cross product Outer product Dyadics Multiplication of vectors Cosine similarity Tensor product Orthonormality Vector calculus identities
Geometrically, it is the <b>product</b> of the Euclidean magnitudes of the <b>two vectors</b> 
and the cosine of the angle between them. These&nbsp;... ... transpose), so one can take the <b>inner product</b> and outer <b>product of two vectors</b>, 
not simply of a <b>vector</b> and a covector. It should not be confused with the <b>dot product</b> (projection product). If <b>two vectors</b> 
have the same direction (or have the exact opposite direction from one another,&nbsp;... In linear algebra, the outer <b>product of two</b> coordinate <b>vectors</b> is a matrix. If the <b>two</b> 
<b>vectors</b> have ... the <b>dot product</b>, which takes as input a pair of coordinate <b>vectors</b> 
and produces a scalar. the Kronecker product, which takes as input a pair of&nbsp;... In mathematics, specifically multilinear algebra, a dyadic or dyadic tensor is a 
second order tensor, written in a notation that fits in with <b>vector</b> algebra. There are 
numerous ways to multiply <b>two</b> Euclidean <b>vectors</b>. The <b>dot product</b> takes in <b>two</b> 
<b>vectors</b> and returns a scalar, while the cross&nbsp;... The <b>dot product of two vectors</b> can be defined as the product of the magnitudes of 
the two vectors and the cosine of the angle between the two vectors. Alternatively
&nbsp;... Cosine similarity is a measure of similarity between <b>two</b> non-zero <b>vectors</b> of an 
<b>inner product</b> space that measures the cosine of the angle between them. In mathematics, the tensor product V ⊗ W of <b>two vector</b> spaces V and W (over the 
same field) is ... about the <b>vectors</b>&#39; lengths as well as the angle between them. As 
the <b>dot product</b> is a scalar, the metric tensor is thus seen to deserve its name. In linear algebra, <b>two vectors</b> in an <b>inner product</b> space are orthonormal if they 
are orthogonal and unit <b>vectors</b>. A set of <b>vectors</b> form an orthonormal set if all&nbsp;... The following are important identities involving derivatives and integrals in <b>vector</b> 
calculus. ... Specifically, for the outer <b>product of two vectors</b>, ... The generalization 
of the <b>dot product</b> formula to Riemannian manifolds is a defining property of a&nbsp;...
a vector
Dot product