Sentence examples for matrices of n from inspiring English sources

R + denotes the set of all real non-negative numbers; R n denotes the n-dimensional space with the scalar product 〈 ⋅, ⋅ 〉 and the vector norm ∥ ⋅ ∥ ; R n × r denotes the space of all matrices of ( n × r ) -dimension.

R+ denotes the set of all real non-negative numbers; R n denotes the n-dimensional space with the scalar product of two vectors 〈x, y〉 or x T y; Rn×rdenotes the space of all matrices of (n × r) - dimension.

R + denotes the set of all real non-negative numbers; R n denotes the n-dimensional space with the scalar product 〈 x, y 〉 or x T y of two vectors x, y, and the vector norm ∥ ⋅ ∥ ; M n × r denotes the space of all matrices of ( n × r ) dimensions.

R+ denotes the set of all real non-negative numbers; R n denotes the n-dimensional space with the scalar product of two vectors 〈x,y〉 or x T y; R n×r denotes the space of all matrices of (n × r)- dimension.

R + denotes the set of all real nonnegative numbers; R n denotes the n-dimensional space with the scalar product of two vectors 〈 x, y 〉 or x T y ; R n × r denotes the space of all matrices of ( n × r ) -dimension.

Let M n ( C ) be the space of complex matrices of size n × n matrices.

Let X  ∈ {0, 1} L  ×  N be the xor-genotypes matrix of N individuals such that X = [ x 1 x 2 … x N ].

(c) At n=1,2,3, calculate the covariance matrix C n of N ̂ n, the n-mode unfolding matrix of N ̂.

To describe SVD mathematically, let X denote a matrix of n observations by p variables.

A† denotes the Hermitian transpose of matrix A. The identity matrix of n dimensions is denoted by In.

HM is a matrix of N × M dimensions that stores N solutions each consisting of M components or variables.