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185.096  Articles
1 of 18.511 pages  |  10  records  |  more records»
Recently, we have presented a projected structured algorithm for solving constrained nonlinear least squares problems, and established its local two-step Q-superlinear convergence. The approach is based on an adaptive structured scheme due to Mahdavi-Amir... see more

In this paper, we present techniques for ellipsoid fitting which are based on minimizing the sum of the squares of the geometric distances between the data and the ellipsoid. The literature often uses “orthogonal fitting” in place of “geometric fitting” o... see more

We find necessary and sufficient conditions for existence of solution to a nonlinear autonomous periodic problem for a Hill type equation in a particular critical case, and also constructed a scheme according the least square technique.

This paper deals with the parameter identification of a microbial batch process of glycerol to 1,3-propanediol (1,3-PD). We first present a parameter identification model for the excess kinetics of a microbial batch process of glycerol to 1,3-PD. This mod... see more

Dalam tulisan ini disajikan prediksi jumlah penduduk Kalimantan Selatan menggunakan model pertumbuhan logistik. Untuk memprediksi jumlah penduduk Kalimantan Selatan tersebut digunakan Metode Nonlinear Least-Squares untuk mengestimasi parameter-parameter y... see more

The paper deals with the identification of the parameters of Scanlan’s nonlinear model for the vortex-induced vibrations (VIV) of bridge decks. Although genetic algorithm (GA) has a good search ability, it has difficulties in optimizing the multi-paramete... see more

This article investigates vibration rejection for a continuous smart structure using piezoelectric bimorph patches. Such a structure has inherent nonlinearities, such as hysteresis and creep, and the whole system may experience unexpected disturbances, un... see more

The multilinear least-squares (MLLS) problem is an extension of the linear least-squares problem. The difference is that a multilinear operator is used in place of a matrix-vector product. The MLLS is typically a large-scale problem characterized by a lar... see more

To complete the analysis problem of the data which form ordinal scale, we used Structural Equation Modeling (SEM) or Lisrel. This research aims to evaluate the normality and covariant matrix estimation from the ordinal data which unknown the spreading for... see more

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