Based on the matrix perturbation technique. a fast-fitting algorithm using uniform cubic B-spline curves is presented. Our algorithm entails much less floating-point operations when compared with Gaussian elimination method. In addition, our result can be applied to solve the closed cubic B-spline curve-fitting problem. Experimental results are included for a practical version. These experiment...

This paper presents a wavelet-based Gaussian method (WGM) for the peak intensity estimation of energy dispersive X-ray fluorescence (EDXRF). The relationship between the parameters of Gaussian curve and the wavelet coefficients of Gaussian peak point is firstly established based on the Mexican hat wavelet. It is found that the Gaussian parameters can be accurately calculated by any two wavelet ...

The " Normal " (Gaussian) Curve Neither the following remarks, nor a textbook discussion (1), nor the efforts of various other writers will quickly disentangle us from the ambiguity of " normal " as used in medicine (and even more vaguely in everyday speech) and " normal " as used by statisticians to indicate the gaussian curve. " Normal " in the statistician's sense means " standard " (norma i...

This paper aims to design and generate a loft surface using three distinct curves (Hermitee cubic curve, straight line, quadratic Bezier curve) analyze its characteristics in isotropic space type-2-Bishop. Moreover, the surface's 1st 2nd - fundamental forms were investigated. In addition, their Gaussian, mean, second Gaussian curvatures I3 computed first type-2-Bishop curvatures. Furthermore, r...

The UV-Vis absorption spectrum and LIF emission spectrum of I2 were found for the purpose of gaining information about the energy of the ground X( 1 Σg + ) and excited B( 3 Π0u + ) states. This information was compared to information obtained from the Gaussian program which uses quantum mechanical calculations and numerical approximations to predict electronic energy levels. The iodine molecule...

Integrated nested Laplace approximation (INLA) provides a fast and yet quite exact approach to fitting complex latent Gaussian models which comprise many statistical models in a Bayesian context, including log Gaussian Cox processes. This paper discusses how a joint log Gaussian Cox process model may be fitted to independent replicated point patterns. We illustrate the approach by fitting a mod...