GIPSCAL revisited. A projected gradient approach
A model for analysis and visualization of asymmetric data-GIPSCAL-is reconsidered by means of the projected gradient approach. GIPSCAL problem is formulated as initial value problem for certain first order matrix ordinary differential equations. This results in a globally convergent algorithm for solving GIPSCAL. Additionally, first and second order optimality conditions for the solutions are established. A generalization of the GIPSCAL model for analyzing three-way arrays is also considered. Finally, results from simulation experiments are reported.
optimality conditions data reduction and representation two- and three-way asymmetric data dynamical systems on stiefel manifold