One of the main techniques used in data mining is data clustering, which has many applications in computer science, biology, and social sciences. Constrained clustering is a type of clustering in which side information provided by the user is incorporated into current clustering algorithms. One of the well researched constrained clustering algorithms is called microaggregation. In a microaggreg...

The constrained variational Hartree-Fock method for excited states of the same symmetry as the ground state [Chem. Phys. Lett. 287, 189 (1998)] is combined with the effective local potential (ELP) method [J. Chem. Phys. 125, 081104 (2006)] to generate Kohn-Sham-type exact-exchange potentials for singly excited states of many-electron systems. Illustrative examples include the three lowest (2)S ...

This paper presents methods for using zonotopes and constrained to improve the practicality of a wide variety set-based operations commonly used in control theory. The proposed extend use represent sets resulting from including halfspace intersections, convex hulls, robust positively invariant , Pontryagin differences. Order reduction techniques are also presented that provide lower-complexity ...

A Radau pseudospectral method is derived for solving state-inequality path constrained optimal control problems. The continuous-time state-inequality path constrained optimal control problem is modified by applying a set of tangency conditions at the entrance of the activity of the path constraint. It is shown that the first-order optimality condition of the nonlinear programming problem associ...

The Least Common Ancestor Problem can be used to solve many other algorithmic problems on trees. It is shown that an efficient and simple solution is possible.