We compare the use of asymptotic normalization coefficients ~ANC’s! and spectroscopic factors determined from peripheral transfer reactions for determining the overall normalization of peripheral direct radiative capture reaction processes. We demonstrate that ANC’s provide a natural way to parametrize the rates of both peripheral transfer and direct capture reactions. Furthermore, ANC’s inferr...

In the present paper, we introduce and investigate an interesting subclass K λ s (h) of analytic and close-to-convex functions in the open unit disk U . For functions belonging to the class K λ s (h) , we derive several properties as the convolution, the coefficient bounds, the covering theorem, the inclusion relationships as well as distortion theorem. The various results presented here would ...

In this paper, we introduce a family of harmonic parabolic starlike functions of complex order in the unit disc and coefficient bounds, distortion bounds, extreme points, convolution conditions and convex combination are determined for functions in this family. Further results on integral transforms are discussed. Consequently, many of our results are either extensions or new approaches to thos...

In this paper, we examine the problem of finding an optimal portfolio of securities by using the probability function of portfolio risk as a constraint. We obtain the value of the risk coefficient for which the problem of maximizing the expectation of the portfolio return with a probabilistic risk function constraint is equivalent to the maximizing the linear convolution of the criteria ”expect...

Regression analysis is an important tool in statistical analysis, which there a demand of discovering essential independent variables among many other ones, especially case that huge number random variables. Extreme bound powerful approach to extract such called robust regressors. In this research, I propose so-called Regressive Expectation Maximization with RObust regressors (REMRO) algorithm ...

The random-noise errors involved in measuring the Doppler shift of an ‘incoherent-scatter’ spectrum are predicted theoretically for all values of 1 e /1 i from 1.0 to 3.0. After correction has been made for the effects of convolution during transmission and reception and the additional errors introduced by subtracting the average of the background gates, the rms errors can be expressed by a sim...

We present a new shape descriptor that are robust to deformation and capture part details. In our framework, the shape descriptor is generated by 1) using running angle to transforming a shape into a 2-D description image in the position and scale space. 2) performing circular wavelet-like sub-band decomposition of this 2-D description image based on its periodic convolution with orthogonal ker...

 Abstract—Discrete trigonometric transformations, such as the discrete Fourier and cosine/sine transforms, are important in a variety of applications due to their useful properties. For example, one well-known property is the convolution theorem for Fourier transform. In this letter, we derive a discrete Fresnel transform (DFnT) from the infinitely periodic optical gratings, as a linear trigon...

Making use of a linear operator, which is defined by the Hadamard product, we introduce and study a subclass Y a,c A,B; p, λ, α of the class A p . In this paper, we obtain the coefficient inequality, distortion theorem, radius of convexity and starlikeness, neighborhood property, modified convolution properties of this class. Furthermore, an application of fractional calculus operator is given....