In this paper we present a new diagonal balancing technique for regular matrix pencils λB − A, which aims at reducing the sensitivity of the corresponding generalized eigenvalues. It is inspired from the balancing technique of a square matrix A and has a comparable complexity. Upon convergence, the diagonally scaled pencil has row and column norms that are balanced in a precise sense. We also s...

We present observation of electroweak single top quark production using 3.2 fb−1 of data collected by the CDF experiment. Candidate events are selected for further classification by five parallel analysis techniques: one using a likelihood discriminant, one using a matrix-element discriminant, one using decision trees, one using a neural network, and one using a complementary dataset. The resul...

In our paper, we consider Tikhonov regularization in the reproducing Kernel Hilbert Spaces. In this space we derive upper and lower bound of the interval which contains the optimal value of Tikhonov regularization parameter with respect to the sensitivity of the solution without computing the singular values of the corresponding matrix. For the case of normalized kernel, we give an explicit for...

this research was performed to determine the efficiency effect of sedimentary environment of kerman city area on soil structure bycomparing natural and reconstituted consolidation curves. in this regard, four different criteria such as sensitivity strength, stresssensitivity, schmertman criteria and the result of the uniaxial compression test were used. the base of these criteria is to compare ...

Antibodies are a key element in immunoassays They are the driving force behind specificity and sensitivity. Affinity purification of antiserum yields antibodies with the ultimate in specificity and sensitivity. It eliminates all other potentially interfering serum proteins and antibodies that will increase the background and cause cross-reactivity. It leaves behind a population of antibodies th...

The stringent quality requirement of petroleum products in highly competitive markets makes on-line controlling of distillation composition essential. In this paper, a novel method using sensitivity matrix analysis and kernel ridge regression to implement on-line estimation of distillation compositions is proposed. In the approach, the sensitivity matrix analysis is presented to select the most...

In this study, we introduce the new sensitivity normalizations of electrical impedance and electrical capacitance tomography. Moreover, in electromagnetic tomography, we proposed the irrationality of linear normalization of sensitivity matrix, thence the new sensitivity normalization model was established based on the analytical formula. The formula of the new sensitivity normalization was give...

Using Henrici’s departure from normality as tool, we investigate the influence of nonnormality on the spectral sensitivity of system matrices of projection-type system realization methods. Basically, we show that the system matrix of one of these methods is diagonally similar to the system matrix of the classical Kung’s method and then conclude that the spectral sensitivity of all methods decre...

Random matrix theory is finding an increasing number of applications in the context of information theory and communication systems, especially in studying the properties of complex networks. Such properties include short-term and long-term correlation. We study the spectral fluctuations of the adjacency of networks using random-matrix theory. We consider the influence of the spectral unfolding...

Pathophysiological levels of oxygen radical metabolites have been studied as indicators of trauma caused by burn insult. The 2, 3-diaminonaphthalene assay is routinely used in the determination of nitrite/nitrate levels in biological fluids and cellular extracts as one indicator of nitric oxide activity. Several laboratories, including ours, have noted matrix-based interferences resulting in de...