𝔖 Bobbio Scriptorium
✦   LIBER   ✦

-factor methods for nonregular inequality-constrained optimization problems

✍ Scribed by Ewa Szczepanik; Alexey Tret’yakov


Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
547 KB
Volume
69
Category
Article
ISSN
0362-546X

No coin nor oath required. For personal study only.

✦ Synopsis


The paper presents a new method for solving irregular optimization problems with inequality constraints. Our results are based on the construction of p-regularity theory and on reformulating the inequality constraints as equalities. Namely, by introducing the slack variables of corresponding degree we obtain the equality-constrained problem, where their gradients are linearly dependent, and for which the Lagrange optimality system is singular at the solution of the optimization problem. We have derived the p-factor Lagrange system for finding extremum point x * , and under new sufficient condition of nondegeneracy in singular case we have proved regularity of this p-factor Lagrange system at solution point (x * , y * , λ * ). At the end, we presented numerical scheme for general case.


📜 SIMILAR VOLUMES


FEASIBLE DESCENT CONE METHODS FOR INEQUA
✍ J. A. SNYMAN; N. STANDER 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 784 KB

A new Feasible Descent Cone (FDC) method for constrained optimization, previously restricted to linear objectives, is here generalized to include non-linear objective functions as well. In the basic and exact algorithm a sequence of descent steps is taken through the interior of the feasible region

The pth-order optimality conditions for
✍ O.A. Brezhneva; A.A. Tret’yakov 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 143 KB

In this paper, we present pth-order necessary conditions for optimality for an optimization problem with inequality constraints in the finite-dimensional spaces. Models of this type arise as the discretization of optimal control problems, calculus of variations problems, and other problems. The pape

A new computational method for the funct
✍ D.C. Jiang; K.L. Teo; W.Y. Yan 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 715 KB

In this paper, we consider a general class of functional inequality constrained minimax optimization problems. This problem is first converted into a semi-infinite programming problem. Then, an auxiliary cost function is constructed based on a positive saturated function. The smallest zero of this a

Solving inequality constrained combinato
✍ Shigeo Abe; Junzo Kawakami; Kotaroo Hirasawa 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 543 KB

The Hop.fteld neural networks are ~:~tended to handle inequality constraints where linear combinations of variables are lower-or upper-bounded. Then b)' eigenvahw analysis, the effects q/'the inequality constraints are analyzed and the lbllowing results are obtained" (a) f a combinatorial solution o