These approaches are implemented in the linear programming support vector regression (LP-SVR) framework by the addition, to the optimization problem, of constraints, which are linear with respect to the parameters.
This model-predictive control formulation allows one (i) to establish the connections between model-predictive and input-output linearizing control methods; and (ii) to solve directly the problems of constraint handling and windup in input-output linearizing control.
It is obvious that problem (2) is not a convex SDP problem because of constraint C8.
In this article, we address the problem of automatic constraint selection to improve the performance of constraint-based clustering algorithms.
In this paper, we consider both the modelling and optimization of preferences in problems of constraint-based temporal reasoning.
We claim that our solution is the optimal solution to the well know problem of maximal constraint satisfaction.
The problem of space constraint in sound absorber design occasionally occurs in practical design work for the requisite maintenance and access.
It will also complement the dispersed literature on the use of a proxy for financial constraints, besides capturing the effects of pledging assets on alleviating the problem of financial constraints.
However, hybrid structures can suffer from the manufacturing problem of over-constraint.
Compounding the problem of financial constraints and lack of awareness is physician delay.
