Abstract. The singular value decomposition, or SVD , has been studied in the past as a tool for detecting and understanding patterns in a collection of documents. We show how the m...
Three methods for the efficient downdating, composition and splitting of low rank singular value decompositions are proposed. They are formulated in a closed form, considering the ...
An algorithm based on the Generalized Hebbian Algorithm is described that allows the singular value decomposition of a dataset to be learned based on single observation pairs pres...
The system of equations that govern kinematically redundant manipulators is commonly solved by nding the singular value decomposition (SVD) of the corresponding Jacobian matrix. T...
Tracy D. Braun, Anthony A. Maciejewski, Howard Jay...
This paper presents a new symbolic algorithm to compute the singular initial value problem of second-order ordinary differential equations using Adomian decomposition method. The ...