1970 Toeplitz-Plus-Hankel Matrix Recovery for Green’s Function Computations on General Substrates By R. Y. Zhang and J. K. White |INVITED PAPER| In this paper, the authors show that all elements of an implicitly defined Toeplitz-plus-Hankel (TPH) matrix can be recovered by sampling four or five carefully selected columns, and then using a linear least squares scheme to recover the rest of the m...

The present work is concerned with the development of commutative discrete filters for unstructured grids and contains two main contributions. First, building on the work of Marsden et al. [J. Comp. Phys. 175 (2002) 584], a new commutative discrete filter based on least-squares techniques is constructed. Second, a new analysis of the discrete commutation error is carried out. The analysis indic...

The partially linear multiplicative regression model is considered. This model, which becomes a partially linear regression model after taking logarithmic transformation, is useful in analyzing data with positive responses. Chen et al. (2010) mentioned that in many applications the size of relative error, rather than that of error itself, is the central concern of practitioners. We extend the c...

In this work the spectra based model of the correlation between lidar systems and wind turbines is extended from rotor-effective wind speed only, to rotor-effective wind speed and linear horizontal and vertical shear components. This is achieved by the incorporation of a model based wind field reconstruction method solving a set of linear equations with the least-squares method. The model allow...

The airline industry in the United States has been one of the hardest-hit (economic victims of the terrorist attacks on September 11, 2001. In an effort to reduce operating cost to better adapt to the decreasing demand, American Airlines (AA) has introduced de-peaking strategies at two of its major hubs: Chicago O’Hare and Dallas/Fort Worth International Airports. In this paper, American Airlin...

This paper presents a method for computing partial spectra of Hermitian matrices, based on a subspace iteration method combined with rational filtering. While the general approach is the same as that of the FEAST package, the emphasis of this paper is on the selection of the filter. Specifically, the goal is to show the appeal of a least-squares viewpoint for designing filters. In particular, t...

This paper deals with an on line identification of the values of these entities by a suitable adjusting of the filter gain and incorporating information about the quality of innovation sequence. The result yields a new adaptive Kalman filter. The proposal is mainly based on statistical properties of the innovation sequence of the filter and improves some previous results pointed out by Bellange...

Least squares method (LSM) is an accurate and rapid method for solving some analytical and numerical problems. This method can be used to estimate the average reservoir pressure in well test analysis. In fact, it may be employed to estimate parameters such as permeability (k) and pore volume (Vp). Regarding this point, buildup, drawdown, late transient test data, modified Muskat method, interfe...

in this paper by use of mathematical modeling of an observer [14,15] the notion of relative information functional for relative dynamical systemson compact metric spaces is presented. we extract the information function ofan ergodic dynamical system (x,t) from the relative information of t fromthe view point of observer χx, where x denotes the base space of the system.we also generalize the inv...