ConfPad

In Linear Algebra, not only the data that comes from the discretization of continuous systems can be represented in matrix (or tensor) structures, but also the operations performed on this data. Such operations can be linearly composed to produce more complex results and find better representations of this datasets.For example, in Computer Graphics, imagery or imagery time series are represented with sets of values arranged in n-dimensional matrices, being suitable to be manipulated with functions of matrices.This presentation will be focused in matrix functions and their numerical implementation for datasets represented in matrix form, as well as the computation cost of these operations, covering (but not limited to) the following topics.