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math.OC2026
Exploring an Alternative Line-Search Method for Lagrange-Newton Optimization
Ralf Möller
In the Lagrange-Newton method, where Newton's method is applied to a Lagrangian function that includes equality constraints, all stationary points are saddle points. It is therefor…
math.OC2020★ 1 cited
Derivation of Symmetric PCA Learning Rules from a Novel Objective Function
Ralf Möller
Neural learning rules for principal component / subspace analysis (PCA / PSA) can be derived by maximizing an objective function (summed variance of the projection on the subspace…