• Title/Summary/Keyword: Normal matrices

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CANONICAL FORMS OF SOME SPECIAL MATRICES USEFUL IN STATISTICS

  • M. Mitrouli;N. Karcanias;C. Koukouvinos
    • Journal of applied mathematics & informatics
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    • v.4 no.1
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    • pp.63-82
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    • 1997
  • In experimental situations where n two or three level fac-tors are involoved and n observations are taken then the D-optimal first order saturated design is an $n{\times}n$ matrix with elements $\pm$1 or 0, $\pm$1, with the maximum determinant. Cononical forms are useful for the specification of the non-isomorphic D-optimal designs. In this paper we study canonical forms such as the Smith normal form the first sec-ond and the jordan canonical form of D-optimal designs. Numerical algorithms for the computation of these forms are described and some numerical examples are also given.

INDEFINITE STOCHASTIC LQ CONTROL WITH CROSS TERM VIA SEMIDEFINITE PROGRAMMING

  • Luo, Chengxin;Feng, Enmin
    • Journal of applied mathematics & informatics
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    • v.13 no.1_2
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    • pp.85-97
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    • 2003
  • An indefinite stochastic linear-quadratic(LQ) optimal control problem with cross term over an infinite time horizon is studied, allowing the weighting matrices to be indefinite. A systematic approach to the problem based on semidefinite programming (SDP) and .elated duality analysis is developed. Several implication relations among the SDP complementary duality, the existence of the solution to the generalized Riccati equation and the optimality of LQ problem are discussed. Based on these relations, a numerical procedure that provides a thorough treatment of the LQ problem via primal-dual SDP is given: it identifies a stabilizing optimal feedback control or determines the problem has no optimal solution. An example is provided to illustrate the results obtained.

A New Algorithm for Resolving Narrowband Coherent Signals Incident on a General Array (임의 배열 안테나로 입사하는 협대역 코히어런트 신호의 분리를 위한 새로운 알고리즘)

  • 박형래;김영수
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.7
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    • pp.989-1002
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    • 1995
  • In this paper, we propose a new algorithm, so called the Signal Decorrelation via Virtual Translation of Array (SDVTA) algorithm, for estimating the directions of arrival(DOA's) of narrowband coherent signals incident on a general array. An effective procedure is composed of transforming the steering matrix of the original array into that of the virtually translated sensor array and taking the average of the transformed covariance matrices in order to decorrelate the coherent signals. The advantage of this approach is in that 1) it can estimate the DOA's of m-1 coherent signals(M : the number of array sensors) since the effective aperture size is never reduced. 2) a geometry of array is unrestricted for solving the narrowband coherency problem. 3) the efficiency of signal decorrelation does not depend on the phase differences between coherent signals unlike the Coherent Signal Subspace Method (CSM). Simulation results are illustrated to demonstrate the superior performance of this new algorithm in comparison with the normal MUSIC and examine the comparative performance with the various choices of the optimal transformation matrix under coherent signal environments.

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COMPARISON STUDY OF BIVARIATE LAPLACE DISTRIBUTIONS WITH THE SAME MARGINAL DISTRIBUTION

  • Hong, Chong-Sun;Hong, Sung-Sick
    • Journal of the Korean Statistical Society
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    • v.33 no.1
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    • pp.107-128
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    • 2004
  • Bivariate Laplace distributions for which both marginal distributions and Laplace are discussed. Three kinds of bivariate Laplace distributions which are extended bivariate exponential distributions of Gumbel (1960) are introduced in this paper. These symmetrical distributions are compared with asymmetrical distributions of Kotz et al. (2000). Their probability density functions, cumulative distribution functions are derived. Conditional skewnesses and kurtoses are also defined. Their correlation coefficients are calculated and compared with others. We proposed bivariate random vector generating methods whose distributions are bivariate Laplace. With sample means and medians obtained from generated random vectors, variance and covariance matrices of means and medians are calculated and discussed with those of bivariate normal distribution.

Free Vibrations of Plates and Shells with an Isogeometric RM Shell Element

  • LEE, Sang Jin
    • Architectural research
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    • v.18 no.2
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    • pp.65-74
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    • 2016
  • Free vibration analysis of plates and shells is carried out by using isogeometric approach. For this purpose, an isogeometric shell element based on Reissner-Mindlin (RM) shell theory is developed. Non-uniform rational B-spline surface (NURBS) definition is introduced to represent the geometry of shell and it is also used to derive all terms required in the isogeometric element formulation. New anchor positions are proposed to calculate the shell normal vector. Gauss integration rule is used for the formation of stiffness and mass matrices. The proposed shell element is then used to examine vibrational behaviours of plate and shell structures. From numerical results, it is found to be that reliable natural frequencies and associated mode shapes can be predicted by the present isogeometric RM shell element.

A STUDY OF SPECTRAL ELEMENT METHOD FOR ELLIPTIC INTERFACE PROBLEMS WITH NONSMOOTH SOLUTIONS IN ℝ2

  • KUMAR, N. KISHORE;BISWAS, PANKAJ;REDDY, B. SESHADRI
    • Journal of applied mathematics & informatics
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    • v.38 no.3_4
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    • pp.311-334
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    • 2020
  • The solution of the elliptic partial differential equation has interface singularity at the points which are either the intersections of interfaces or the intersections of interfaces with the boundary of the domain. The singularities that arises in the elliptic interface problems are very complex. In this article we propose an exponentially accurate nonconforming spectral element method for these problems based on [7, 18]. A geometric mesh is used in the neighbourhood of the singularities and the auxiliary map of the form z = ln ξ is introduced to remove the singularities. The method is essentially a least-squares method and the solution can be obtained by solving the normal equations using the preconditioned conjugate gradient method (PCGM) without computing the mass and stiffness matrices. Numerical examples are presented to show the exponential accuracy of the method.

ON CONVERGENCE OF THE MODIFIED GAUSS-SEIDEL ITERATIVE METHOD FOR H-MATRIX LINEAR SYSTEM

  • Miao, Shu-Xin;Zheng, Bing
    • Communications of the Korean Mathematical Society
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    • v.28 no.3
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    • pp.603-613
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    • 2013
  • In 2009, Zheng and Miao [B. Zheng and S.-X. Miao, Two new modified Gauss-Seidel methods for linear system with M-matrices, J. Comput. Appl. Math. 233 (2009), 922-930] considered the modified Gauss-Seidel method for solving M-matrix linear system with the preconditioner $P_{max}$. In this paper, we consider the modified Gauss-Seidel method for solving the linear system with the generalized preconditioner $P_{max}({\alpha})$, and study its convergent properties when the coefficient matrix is an H-matrix. Numerical experiments are performed with different examples, and the numerical results verify our theoretical analysis.

Virtual Reality Image Shooting for Single Person Broadcasting with Multiple Smartphones

  • Budiman, Sutanto Edward;Lee, Suk-Ho
    • International Journal of Internet, Broadcasting and Communication
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    • v.11 no.2
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    • pp.43-49
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    • 2019
  • Nowadays, one-person media broadcasting has become popular, and with the progress of this popularity, multimedia techniques which can support such broadcasting are also becoming more and more advanced. One of the most emerging multimedia technique used in this field is the virtual reality technology which sets the one-person media broadcasting environment as a virtual reality environment. However, as such an environment requires instruments of high cost, it is not easy for normal individuals to constitute such environments. Therefore, in this paper we propose how to construct virtual reality-like panoramas with a multiple of smartphones. For this purpose, we designed a special rig which can hold firmly 8 smartphone cameras which have overlapping view of the environment such that panorama stitching becomes possible. To reduce the computation cost, we precomputed the homography matrices, and used 1-D pointer structures to store the computed coordinate values.

STRONG COMMUTATIVITY PRESERVING MAPS OF UPPER TRIANGULAR MATRIX LIE ALGEBRAS OVER A COMMUTATIVE RING

  • Chen, Zhengxin;Zhao, Yu'e
    • Bulletin of the Korean Mathematical Society
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    • v.58 no.4
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    • pp.973-981
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    • 2021
  • Let R be a commutative ring with identity 1, n ≥ 3, and let 𝒯n(R) be the linear Lie algebra of all upper triangular n × n matrices over R. A linear map 𝜑 on 𝒯n(R) is called to be strong commutativity preserving if [𝜑(x), 𝜑(y)] = [x, y] for any x, y ∈ 𝒯n(R). We show that an invertible linear map 𝜑 preserves strong commutativity on 𝒯n(R) if and only if it is a composition of an idempotent scalar multiplication, an extremal inner automorphism and a linear map induced by a linear function on 𝒯n(R).

Minimal Generators of Syzygy Modules Via Matrices

  • Haohao Wang;Peter Oman
    • Kyungpook Mathematical Journal
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    • v.64 no.2
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    • pp.197-204
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    • 2024
  • Let R = 𝕂[x] be a univariate polynomial ring over an algebraically closed field 𝕂 of characteristic zero. Let A ∈ Mm,m(R) be an m×m matrix over R with non-zero determinate det(A) ∈ R. In this paper, utilizing linear-algebraic techniques, we investigate the relationship between a basis for the syzygy module of f1, . . . , fm and a basis for the syzygy module of g1, . . . , gm, where [g1, . . . , gm] = [f1, . . . , fm]A.