This paper considers the use of the anisotropic total variation seminorm to recover a two dimensional vector x ∈ CN×N from its partial Fourier coefficients, sampled along Cartesian lines. We prove that if (xk,j − xk−1,j)k,j has at most s1 nonzero coefficients in each column and (xk,j − xk,j−1)k,j has at most s2 nonzero coefficients in each row, then, up to multiplication by log factors, one can...

An improvement of the Piringer model, allowing the prediction of a worst case migration from packaging to food is presented here. The authors are proposing other constants for the calculation of the upperbound value of the diffusion coefficient, using experimental data determined by a film to film method. Considering the plasticizing effects of food simulants, a model involving the variation of...

Usually, in concentration polarization models, the mass transfer coefficient is an unknown parameter. Also, its variation with changing experimental circumstances is in question. In the literature, many relationships can be found to describe the mass transfer coefficient under various conditions, as well as various corrections for deviating behaviour during ultrafiltration. To obtain reliable m...

in the current study an experimental/statistical approach addressing key mechanical properties (compressive, tensile and flexural strength) and impact resistance of such new fibers with inclusion of different volume of polyphenylene sulfide (pps) fibers has been carried out on 288 specimens. results from this study revealed that compressive, tensile and flexural strength exhibit a good fit with...

In this article we emphasize the manner in which this statistical indicator the variation coefficient (v) could help the inference on measurable characteristics generated by technological processes. Our interest lies upon the so-called SPCStatistical Process Control; the main result obtained is the following: if the coefficient of variation is known, then the statistical distribution of capabil...

Consider the G I / G / i queue partially specified by the first two moments of the interarrival times and service times. Let ?~ be the arrival rate, p the traffic intensity, c, 2 the squared coefficient of variation of the interarrival-time distribution (variance divided by the square of its mean), the c 2 the squared coefficient of variation of the service-time distribution. Kingman [!!] showe...

Abstract. A simple method based on laser beam deflection to study the variation of diffusion coefficient with concentration in a solution is presented. When a properly fanned out laser beam is passed through a rectangular cell filled with solution having concentration gradient, the emergent beam traces out a curved pattern on a screen. By taking measurements on the pattern at different concentr...

The traditional coefficient of determination or R is the proportion of variation explained by a regression model versus the variation explained by the mean. This measure does not discriminate well between alternative self-referencing models such as site index curves. The traditional R compares the variation explained by a model with the variation about the mean dependent variable, a very simple...

In this paper we proposed the new confidence interval for the normal population mean with a known coefficient of variation. In practice, this situation occurs normally in environment and agriculture sciences where we know the standard deviation is proportional to the mean. As a result, the coefficient of variation of is known. We propose the new confidence interval based on the best unbiased es...

Data Envelopment Analysis (DEA) is a non-parametric technique which is based on mathematical programming for evaluating the efficiency of a set of Decision Making Units (DMUs). Throughout applications, managers encounter with stochastic data and the necessity of having a method that is able to evaluate efficiency and rank efficient units has been under consideration. In this paper considering t...