This paper introduces a non-iterative algorithmic procedure to design water utilization networks in re"neries and process plants. The procedure is based on necessary and su$cient conditions of optimality that allow the construction of a global optimal solution without the need or a targeting procedure. In addition, the steps of this procedure are such that it can be implemented by hand and have...

Iterative Proportional Fitting Procedure is commonly used in probability theory for construction of a joint probability distribution from a system of its marginals. A similar idea can be used in case of belief functions thanks to special operators of composition defined in this framework. In this paper, a formerly designed IPF procedure is further studied. We propose a modification of compositi...

A combined numerical-experimental iterative procedure, based on the Gauss-Newton algorithm, has been developed for control of magnetic resonance (MR)-guided hyperthermia (HT) applications in a hybrid MR-HT system BSD 2000 3D-MRI. In this MR-HT system, composed of a 3-D HT applicator Sigma-Eye placed inside a tunnel-type MR tomograph Siemens MAGNETOM Symphony (1.5 T), the temperature rise due to...

In this paper, we consider pseudomonotone equilibrium problems and generalized variational inequalities in Hilbert spaces. We suggest an iterative procedure for solving inequalities. Strong convergence result is proved under some mild assumptions.

The aim of this paper is to present an acceleration procedure based on projection and preconditioning for iterative methods for solving systems of linear equations. A cycling strategy leads to a new iterative method. These procedures are closely related to Richardson’s method and acceleration. Numerical examples illustrate the purpose. For solving the system of linear equations Ax = b, we consi...

In Structural Equation Modeling (SEM), the measurement part and structural are typically estimated simultaneously via an iterative Maximum Likelihood (ML) procedure. this study, we compare performance of standard procedure to After Measurement (SAM) approach, where is separated from part. One appealing feature latter multi-step that it extends scope possible estimators, as now also non-iterativ...

We present an iterative procedure for computing the optimal Bermudan stopping time, hence the Bermudan Snell envelope. The method produces an increasing sequence of approximations of the Snell envelope from below, which coincide with the Snell envelope after finitely many steps. Then, by duality, the method induces a convergent sequence of upper bounds as well. In a Markovian setting the presen...

A procedure for carrying out iterative model building, density modification and refinement is presented in which the density in an OMIT region is essentially unbiased by an atomic model. Density from a set of overlapping OMIT regions can be combined to create a composite 'iterative-build' OMIT map that is everywhere unbiased by an atomic model but also everywhere benefiting from the model-based...

This paper is about the optimization of the procedure for recognition of local objects in an image with the assumption, that the process of data processing is parted into two stages: preliminary detection and recognition. It seems to be perspective to use such approach to the real-time object recognition. In work the approach permitting to reduce the optimization task of the two-stage procedure...