Recently, Roos proposed a full-Newton step infeasible interiorpoint method (IIPM) for solving linear optimization (LO) problems. Later on, more variants of this algorithm were published. However, each main step of these methods is composed of one feasibility step and several centering steps. The purpose of this paper is to prove that by using a new search direction it is enough to take only one...

A new iterative learning controller is proposed for a general unknown discrete time-varying nonlinear non-affine system represented by NARMAX (Nonlinear Autoregressive Moving Average with eXogenous inputs) model. The proposed controller is composed of an iterative learning neural identifier and an iterative learning controller. Iterative learning control and iterative learning identification ar...

Global Krylov subspace methods are the most efficient and robust methods to solve generalized coupled Sylvester matrix equation. In this paper, we propose the nested splitting conjugate gradient process for solving this equation. This method has inner and outer iterations, which employs the generalized conjugate gradient method as an inner iteration to approximate each outer iterate, while each...

Room acoustic design is an iterative process. Computer aided acoustical modelling is an efficient instrument to verify the design. The aim of this paper is to show the design process of a Hungarian concert hall. We have prepared the model of the hall at each step of the iteration. We have performed analyses with a ray-tracing based software, determined impulse responses at several receiver poin...

We modify our earlier homotopic process for iterative inversion of Toeplitz and Toeplitz-like matrices to improve the choice of the initial approximate inverses at every homotopic step. This enables us to control the condition of the auxiliary matrices and to accelerate convergence substantially. The algorithm extends our older approach where the input matrix was factorized into the product of ...

A systematic top-down procedure to design an effective plantwide control system for economically (near) optimum process operation over a wide throughput range is developed. The proposed procedure focuses on devising a control system for optimal operation at maximum throughput, where usually the highest number of constraints is active and the economic benefits of improved operation are the great...

In this paper, we show a general way to interpret the infrastructure of a global field of arbitrary unit rank. This interpretation generalizes the prior concepts of the giant-step operation and f -representations, and makes it possible to relate the infrastructure to the (Arakelov) divisor class group of the global field. In the case of global function fields, we present results that establish ...