Results 31 to 40 of about 554,064 (360)
A note on fixed point method and linear complementarity problem
In this article, we present a general form of the fixed point method for processing the large and sparse linear complementarity problem, as well as a general condition for the method's convergence when the system matrix is a \(P\)-matrix and some ...
Bharat Kumar, Deepmala, Arup K Das
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Symmetric multisplitting of a symmetric positive definite matrix
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Zhi-Hao Cao, Zhong-Yun Liu
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Sebuah Telaah Elips dan Lingkaran Melalui Sebuah Pendekatan Aljabar Matriks
In this article, ellipse and circle will be learnt in depth via matrix algebra approach. The discussion of the both is started from their classic definition continued by surveying ellipse in matrix form.
Rahmat Sagara
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Use of suggested correlation matrix in factor analysis [PDF]
some variables may have nominal or ordinal scale, this causes a failure of analyzing the Pearson's correlation matrix by factor analysis. However, it was suggested to replace the elements of the correlation matrix by correlation coefficients which should
Marwan AbdulAziz Dabdoub
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Best Proximity Point and Existence of the Positive Definite Solution for Matrix Equations
In this research, α − ψ − θ contraction has been defined to find the best proximity point in partially ordered metric spaces. Proper support for the result has been given in the form of a suitable example.
Satyendra Kumar Jain +2 more
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On the positive definite solutions of a nonlinear matrix equation [PDF]
In this paper, the nonlinear matrix equation is investigated. Based on the fixed-point theory, the boundary and the existence of the solution with the case are discussed. An algorithm that avoids matrix inversion with the case is proposed.
Chun Yan Liang +2 more
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On the inverse of a matrix with positive definite symmetric component
The inverse of the special real \(n\times n\)-matrix \(A+vB\) is investigated, where \(A\) is symmetric and positive definite, \(B\) is skew- symmetric, and \(v\) is a real parameter. An expression for the inverse \(Z(v)=(A+vB)^{-1}\) is derived as a sum of powers of the matrix \(H=A^{-1}B\), namely, \(Z(v)=[\sum^{m^*}_{k=0}g_ k(v)H^ k]A^{-1}\), where \
Giuseppe Buffoni, Enea Crea S. Teresa
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Least-squares exploratory factor analysis based on tetrachoric/polychoric correlations is a robust, defensible and widely used approach for performing item analysis, especially in the first stages of scale development. A relatively common problem in this
U. Lorenzo-Seva, P. J. Ferrando
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Positive definite solution of two kinds of nonlinear matrix equations [PDF]
Based on the elegant properties of the Thompson metric, we prove that the following two kinds of nonlinear matrix equations X=Σi=1m Ai* XδiAi and X=Σi=1m (Ai* XAi)δi ...
Fujian Duan, Zhenyun Peng, Xuefeng Duan
doaj
Evaluating functions of positive-definite matrices using colored noise thermostats [PDF]
Many applications in computational science require computing the elements of a function of a large matrix. A commonly used approach is based on the the evaluation of the eigenvalue decomposition, a task that, in general, involves a computing time that ...
Ceriotti, Michele +3 more
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