Autors: POPOVICIU,N., BONCUT,M. Title: Quadratic Optimization Models and Algorithms.One Algorithm for Linear Bound Constraints based on Neural Networks Keywords: Quadratic programming, quadratic optimization, linear bound Abstract: This work contains a complete set of algorithms for several quadratic optimization problems. The problem constraints are very differently. For each type of constraint an appropriate algorithm is given. The algorithm for linear bound constraints is based on neural network [2] and uses a system of differential equations. In order to reduce the sensitivity and round off errors a preconditioning method is used. A great number of applications illustrate the algorithms. References Issue

Вид: публикация в национален форум