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A multilinear map of one variable is a linear map, and of two variables is a bilinear map. More generally, for any nonnegative integer , a multilinear map of k variables is called a k-linear map. If the codomain of a multilinear map is the field of scalars, it is called a multilinear form.
A bilinear map is a function: such that for all , the map (,) is a linear map from to , and for all , the map (,) is a linear map from to . In other words, when we hold the first entry of the bilinear map fixed while letting the second entry vary, the result is a linear operator, and similarly for when we hold the second entry fixed.
Given a linear map which is an endomorphism whose matrix is A, in the basis B of the space it transforms vector coordinates [u] as [v] = A[u]. As vectors change with the inverse of B (vectors coordinates are contravariant ) its inverse transformation is [v] = B [v'].
The bandwidth of the Gaussian kernels is set in such a way that the entropy of the conditional distribution equals a predefined entropy using the bisection method. As a result, the bandwidth is adapted to the density of the data: smaller values of σ i {\displaystyle \sigma _{i}} are used in denser parts of the data space.
Synonym for (0,1)-matrix or logical matrix. [1] Bisymmetric matrix: A square matrix that is symmetric with respect to its main diagonal and its main cross-diagonal. Block-diagonal matrix: A block matrix with entries only on the diagonal. Block matrix: A matrix partitioned in sub-matrices called blocks. Block tridiagonal matrix
If we use the matrix notation for the common case =, we can express the equation in a more friendly manner: = [] [] [] for between 0 and 1 for one dimension. Note that for 1-dimensional cubic convolution interpolation 4 sample points are required.
An implicit surface is the set of zeros of a function of three variables. Implicit means that the equation is not solved for x or y or z . The graph of a function is usually described by an equation z = f ( x , y ) {\displaystyle z=f(x,y)} and is called an explicit representation.
The variable for this column is now a basic variable, replacing the variable which corresponded to the r-th column of the identity matrix before the operation. In effect, the variable corresponding to the pivot column enters the set of basic variables and is called the entering variable , and the variable being replaced leaves the set of basic ...