Abstract: A classification function is a multi-valued function, where the function values for only a fraction of the input combinations are defined. Many variables in such a function are redundant, ...

If \(A\) is a \(3\times 3\) matrix then we can apply a linear transformation to each rgb vector via matrix multiplication, where \([r,g,b]\) are the original values ...

Abstract: In this note, we consider the problem of privacy preservation in consensus for general linear multiagent systems (MASs), where the system matrices, input and state trajectories are all ...

Let [ Mn(C) ] denote the set of linear maps from the n × n complex matrices into themselves and let $\hat\Omega_n$ denote the set of complex doubly stochastic matrices, i.e. complex matrices whose row ...

Graduate Record Examination and Miller Analogies Test scores were equated using linear transformation and regression methods. All correlations involving the Graduate Record Examination Verbal scale ...