R Gabasov, FM Kirillova - Journal of Optimization Theory and Applications, 1971 - Springer
This paper presents a survey of recent work dealing with the optimization of linear systems by the methods of functional analysis. The areas covered are: application of the separability …
Optimization Techniques Via The Optimization Toolbox | SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
R Meziat - Journal of Mathematical Sciences, 2003 - … .uniandes.edu.co
In this paper, we present a general development, called the method of moments, which allows one to analyze global optimization problems in which the objective function is given …
YG Evtushenko, VG Zhadan - … and Optimization: Proceedings of the 15th …, 1992 - Springer
The present paper is devoted to the application of the space transformation technique for solving linear and nonlinear programming problems. By using a surjective mapping the …
NO Vil'chevskii - Automation and Remote Control, 1970 - mathnet.ru
The solution of the problem of linear programming is solved by means of the method of functions of fine. It is shown that the coefficient of fine is expedient to choose as the solution …
I Thng, A Cantoni, YH Leung - Applied Mathematics and Optimization, 1996 - Springer
In the area of broad-band antenna array signal processing, the global minimum of a quadratic equality constrained quadratic cost minimization problem is often required. The …
F Neri, G Iacca, E Mininno - Handbook of Optimization: From Classical to …, 2013 - Springer
Compact algorithms are optimization algorithms belonging to the class of Estimation of Distribution Algorithms (EDAs). Compact algorithms employ the search logic of population …
This article examines some topics of optimization of computations, which have been discussed at 25 seminar-schools and symposia organized by the VM Glushkov Institute of …
SV Yakovlev, IV Grebennik - Cybernetics and Systems Analysis, 1993 - Springer
We shall examine a problem of nonlinear integer optimization in the following formulation:~(x)--, min, x ER n, xi are integers, i EI n,(1) where x ER n is a strongly convex …