«ellipsoid algorithm»
۱۲۳۳ نتیجهA new approach for Robot selection in manufacturing using the ellipsoid algorithm
The choice of suitable robots in manufacturing, to improve product quality and to increase productivity, is a complicated decision due to the increase in robot manufacturers and configurations. In this article, a novel approach is proposed to choose among alternatives, differentl
An ellipsoid algorithm for probabilistic robust controller design
In this paper a new iterative approach to probabilistic robust controller design is presented, which is applicable to any robust controller/filter design problem that can be represented as an LMI feasibility problem. Recently, a probabilistic Subgradient Iteration algorithm was p
An Interior Ellipsoid Algorithm for Fixed Points
We consider the problem of approximating xed points of non smooth con tractive functions with using of the absolute error criterion In we proved that the upper bound on the number of function evaluations to compute approximations is O n ln ln q ln n in the worst case where q is t
The Ellipsoid Algorithm for Probabilistic Robust Controller Design
This paper presents a new iterative approach to probabilistic robust controller design, which is an alternative to the recently proposed Subgradient Iteration Algorithm (SIA). In its original version [12] the SIA possesses the useful property of guaranteed convergence in a finite
Circumscribed ellipsoid algorithm for fixed-point problems
We present a new implementation of the almost optimal Circumscribed Ellipsoid (CE) Algorithm for approximating fixed points of nonexpanding functions, as well as of functions that may be globally expanding, however, are nonexpanding/contracting in the direction of fixed points. O
Neural Networks Training with Optimal Bounded Ellipsoid Algorithm
Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence, since it has a similar structure as Kalman filter. OBE has some advantages over Kalman filter training, the n
Mechanism Design for Multiple Item Procurement Using a Distributed Ellipsoid Algorithm
We study a problem in a procurement setting in which an Original Equipment Manufacturer (OEM) wants to procure a set of items from a set of suppliers. Each supplier incurs a cost for supplying any subset/bundle of items, and each supplier’s cost information is known only to him.
An Oblivious Ellipsoid Algorithm for Solving a System of (In)Feasible Linear Inequalities
The ellipsoid algorithm is a fundamental for computing solution to the system of m linear inequalities in n variables [Formula: see text] when its set solutions has positive volume. However, infeasible, no mechanism proving that (P) infeasible. This contrast other two algorithms
Genetic and ellipsoid algorithms for nonlinear predictive control
This paper deals with the constrained predictive control of nonlinear systems. Artificial Neural Networks (ANN) are used as a process model. The control law is derived by minimizing a non convex criterion. The optimization problem is solved using Ellipsoid and genetic algorithms.
Near-optimal deterministic algorithms for volume computation via M-ellipsoids
This bound is achieved by the maximum volume ellipsoid contained in K. Ellipsoids have also been critical to the design and analysis of efficient algorithms. The most notable example is the ellipsoid algorithm (1, 2) for linear (3) and convex optimization (4), which represents a