Abstract. We present a null-space primal-dual interior-point algorithm for solving nonlinear optimization problems with general inequality and equality constraints. The algorithm a...
This paper deals with state estimation problem for linear systems with state equality constraints. Using noisy measurements which are available from the observable system, we cons...
In this paper, a supervised neural network training technique based on constrained optimization is developed for preserving prior knowledge of an input
Consider a problem of minimizing a separable, strictly convex, monotone and differentiable function on a convex polyhedron generated by a system of m linear inequalities. The probl...
Adi Ben-Israel, Genrikh Levin, Yuri Levin, Boris R...
Equality constraints (unification constraints) have widespread use in program analysis, most notably in static polymorphic type systems. Conditional equality constraints extend eq...