the solubility of co2 in the primary, secondary, tertiary and sterically hindered amine aqueous solutions at various conditions was studied. in the present work, the modified kent-eisenberg (m-ke), the extended debye-hückel (e-dh) and the pitzer models were employed to study the solubility of co2 in amine aqueous solutions. two explicit equations are presented to evaluate the concentration of h...

Abstract In this paper, we study and prove the non-asymptotic superlinear convergence rate of Broyden class quasi-Newton algorithms which includes Davidon–Fletcher–Powell (DFP) method Broyden–Fletcher–Goldfarb–Shanno (BFGS) method. The asymptotic these methods has been extensively studied in literature, but their explicit finite–time local is not fully investigated. provide a (non-asymptotic) a...

The equilibrium chemical reactions taken place in a converter reactor of the Khorasan Petrochemical Ammonia plant was studied using the minimization of Gibbs free energy method. In the minimization of the Gibbs free energy function the Davidon– Fletcher–Powell (DFP) optimization procedure using the penalty terms in the well-defined objective function was used. It should be noted that in the DFP...

Introduction: Emerging indoor geolocation systems use either geometric techniques [1, 2], or pattern recognition algorithms [3, 4] to locate a user. This is done in two stages. The first stage is to observe some characteristic of the transmitted signal, such as received signal strength (RSS), or delay (TOA) to derive location metrics. The second stage is to feed these metrics into a geolocation...

In this work, we investigate stochastic quasi-Newton methods for minimizing a finite sum of cost functions over decentralized network. We first develop general algorithmic framework, in which each node constructs local, inexact direction that asymptotically approaches the global, exact one at time step. To do so, local gradient approximation is constructed using dynamic average consensus to tra...

Using a Davidon-Fletcher-Powell nonlinear function minimization algorithm," the function 7) is fit to the observed control pressure-volume relationships. The output of this computer subprogram is a set of estimates of the three parameters a,, a2, and a,. Using these parameters in 7), the analysis program computes the predicted pressure at each actually observed cubed circumference, using the mi...

This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear underlying phenomena contained in the data set and to partly eliminate the burden of having to specify completely the structure of the model. Two different types of neural networks were used for the application of Pulpi...

More than three decades after the Supreme Court ruling in Regents of the University of California v. Bakke, the diversity rationale for affirmative action in public education remains a topic of political and legal controversy. Many colleges and universities have implemented affirmative action policies not only to remedy past discrimination, but also to achieve a racially and ethnically diverse ...

In order to construct a C1-quadratic spline over an arbitrary triangulation, one can split each triangle into 12 subtriangles, resulting in a finer triangulation known as the Powell-Sabin 12-split. It has been shown previously that the corresponding spline surface can be plotted quickly by means of a Hermite subdivision scheme [5]. In this paper we introduce a nodal macroelement on the 12-split...

The truncated basis of adaptively refined multilevel spline spaces was introduced by Giannelli et al. (2012, 2013). It possesses a number of advantages, including the partition of unity property, decreased support of the basis functions, preservation of coefficients and strong stability, that may make it highly useful for geometric modeling and numerical simulation. We generalize this construct...