attempts to obtain experimental values for the kinetic parameters of phenanthridine oxidation by guinea pig or rabbit liver aldehyde oxidase using common spectrophotometric methods have not been successful due to a lower limit of detection. in the present study, a new spectrofluorimetric assay in combination with a multivariate calibration method for enzymatic kinetic study of aldehyde oxidase ...

substrates' concentration profile was studied in a porous matrix containing immobilized amyloglucosidase for glucose production. this analysis was performed by using an analytical method called least square method, and the results were compared with numerical solution. effects of effective diffusivity, michael's constant, maximum reaction rate and initial substrate concentration were studied on...

Least-squares approximation can be used in image-based colorimetry once the set of sampling functions is selected. We discuss the accuracy obtained in earlier research, and we compare it with a better calculation method.

In this paper, we study the mean square convergence of the kernel least mean square (KLMS). The fundamental energy conservation relation has been established in feature space. Starting from the energy conservation relation, we carry out the mean square convergence analysis and obtain several important theoretical results, including an upper bound on step size that guarantees the mean square con...

This article proposes a general gH-gradient efficient-direction method and $${\mathcal{W}}$$ -gH-gradient efficient for the optimization problems with interval-valued functions. The convergence analysis step-wise algorithms of both methods are presented. It is observed that converges linearly strongly convex objective function. To develop proposed to study their convergence, ideas strong convex...

After diagnose the model and something was detected, there needs an adjustment for model fitting. For example, if non-equal variance happens, either use the transformation of response or other choices. If there are influential points in the dataset, we may try to avoid its influence by different fitting method (Robust Methods). If the relation between response and predictors are absolute not li...

Abstract. In this paper, the authors present a method to construct a smooth B-spline curve which fairly fits 3D points and at the same time satisfies the length constraints. By using the Lagrange multiplier’s conditional extreme, resorting to Broyden method, and then finding the least square solution of the control points, we can obtain the fair quasi-fitting modeling B-spline curve.