In this paper, we will give an introductory review on theory, methods a. nd applications of
semi-infinite programming. In part I, linear problems are considered, which form a subclass …

A linear optimization problem is the task of minimizing a linear real-valued function of finitely
many variables subject to linear con straints; in general there may be infinitely many …

Starting from a number of motivating and abundant applications in § 2, including control of
robots, eigenvalue computations, mechanical stress of materials, and statistical design, the …

In an optimization problem that depends on parameters, an important issue is the effect that
perturbations of the parameters can have on solutions to the problem and their associated …

This paper, which is presented in two parts, develops a computational approach to strictly
concave parametric programs of the form: Maximize α f 1 (x)+(1− α) f 2 (x) subject to concave …

Parametric optimization is a part of mathematical programming and it investigates the
behaviour and the properties of solution sets of optimization problems under variations of …

[en] This work presents a mathematical study of algorithms for the resolution approach of
optimization problems and certain other problems having similar characteristics: minimax …

ESTIMATES are established below for the closeness of the optimal values and optimal
solutions of the problems (original) and, where M 0 and M are convex polyhedral sets of the …

1. The main subject of the five books under review is optimization theory and algorithms.
Concepts and methods from functional analysis are heavily used in four of these books …

~~ S~ AI~~ extreme problems form a wide class of
zyxwvutsrqponmlkjihgfedcbaZYXWVUTSR problems often encountered in pure and applied …