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Kronecker product

A Numerical Approach to solve Three Parameter Matrix Eigenvalue Problems by Kronecker Product Method

A Numerical Approach to solve Three Parameter Matrix Eigenvalue Problems by Kronecker Product Method

... In this work it is intended to discuss three-parameter matrix eigenvalue problems and its numerical aspects. The problem is reduced into its corresponding one-parameter problems in tensor product space. Then ...

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The research of Kronecker product based measurement matrix of compressive sensing

The research of Kronecker product based measurement matrix of compressive sensing

... the Kronecker product measurement matrix based on or- thogonal basis that we have constructed is suitable in the embedded hardware implementation and offers great potential for hardware implementation of ...

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Kronecker Product based Stability Tests and Performance Bounds for a Class of 2D Continuous Discrete Linear Systems

Kronecker Product based Stability Tests and Performance Bounds for a Class of 2D Continuous Discrete Linear Systems

... matrix Kronecker product to develop tests for stability along the pass of differential linear repetitive processes which can be implemented by computations on matrices with constant ...

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The partition algebra and the Kronecker product (Extended Abstract)

The partition algebra and the Kronecker product (Extended Abstract)

... Citation: De Visscher, M., Bowman, C. and Orellana, R. (2013). The partition algebra and the Kronecker product (Extended Abstract). Paper presented at the DMTCS Proceedings, 25th International Conference on ...

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Kronecker product of conjugate unitary matrices

Kronecker product of conjugate unitary matrices

... the Kronecker products of matrices is recapitulated using a notation that reveals the tensor structures of the matrices ...matrix product allows a wide family of unitary matrices to be developed from a ...

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Optimal Slope Designs for Second Degree Kronecker Model Mixture Experiments

Optimal Slope Designs for Second Degree Kronecker Model Mixture Experiments

... Abstract: The aim of this paper is to investigate some optimal slope mixture designs in the second degree Kronecker model for mixture experiments. The study is restricted to weighted centroid designs, with the ...

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Least Squares Hermitian Problem of Matrix Equation (AXB, CXD) = (E, F) Associated with Indeterminate Admittance Matrices

Least Squares Hermitian Problem of Matrix Equation (AXB, CXD) = (E, F) Associated with Indeterminate Admittance Matrices

... ments in each column are both equal to 0, then A is called an indeterminate admittance matrix. If A is an indeterminate admittance matrix and a Hermi- tian matrix, then A is called a Hermitian indeterminate admittance ...

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Improving computational efficiency in large linear inverse problems: an example from carbon dioxide flux estimation

Improving computational efficiency in large linear inverse problems: an example from carbon dioxide flux estimation

... timated. This high spatiotemporal resolution was primarily motivated by the desire to avoid “aggregation errors” (Enge- len et al., 2002; Meirink et al., 2008, Thompson et al., 2011), i.e., biases in the estimated fluxes ...

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Codes With Low Peak- To- Average Power Ratio For OFDM Systems

Codes With Low Peak- To- Average Power Ratio For OFDM Systems

... the Kronecker product, it can also be used to generate different sequences with the same length by multiplying an original sequence element wise with columns of the DFT ...

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Polarimetric Kronecker Separability of Site Specific Double Directional Channel in an Urban Macrocellular Environment

Polarimetric Kronecker Separability of Site Specific Double Directional Channel in an Urban Macrocellular Environment

... different Kronecker product approximations, that is, conventional Kronecker product, 3GPP LTE Kro- necker product, and sum of Kronecker products proposed by the authors are ...

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Covariance estimation via sparse Kronecker structures

Covariance estimation via sparse Kronecker structures

... To explore the covariance structure of the data, we start by vectorizing the matrices as vectors each with a dimension pq = 8584. We fit the penalized Gaussian graphical model in Yuan and Lin [23] for estimating a sparse ...

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Efficient Solutions of Coupled Matrix and Matrix Differential Equations

Efficient Solutions of Coupled Matrix and Matrix Differential Equations

... In Kronecker products works, matrices are some times regarded as vectors and vectors are some times made in to ma- ...(Kronecker) product and diagonal extraction (vector) operator in order to ...

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RLScore: Regularized Least-Squares Learners

RLScore: Regularized Least-Squares Learners

... RLS methods allow also fast learning from pair-input data. Applications include protein- protein and drug-target interaction prediction (Pahikkala et al., 2015), forecasting winners of two-player games, collaborative ...

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ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL 
CLIMBING APPROACH

ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH

... the Kronecker product has grown recently. Kronecker product which was named after German mathematician Leopold is a special operator for multiplication of two ...that Kronecker ...

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Kronecker Graphs: An Approach to Modeling Networks

Kronecker Graphs: An Approach to Modeling Networks

... How can we generate realistic networks? In addition, how can we do so with a mathematically tractable model that allows for rigorous analysis of network properties? Real networks exhibit a long list of surprising ...

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... The European Union IST METRA (Multi Element Transmit Receive Antenna) model was proposed for frequency-selective fading channels [20, 21]. The METRA model is an analytical model whose main strength lies in the spatial ...

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The analysis of multivariate longitudinal data: An instructive application of the longitudinal three-mode model.

The analysis of multivariate longitudinal data: An instructive application of the longitudinal three-mode model.

... in Kronecker product restricted models requires alternative ...in Kronecker product restricted models has been proposed else- where (Verdam & Oort, ...

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High dimensional modelling and simulation with asymmetric normal mixtures

High dimensional modelling and simulation with asymmetric normal mixtures

... Hence by constructing Σ = A ⊗ B, the problems of specifying a large pos- itive definite correlation matrix and decomposing that matrix are addressed. Moreover, it can be seen from equation (45) that the matrix ...

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Density matrix superoperator for periodic quantum systems and its application to quantum cascade laser structures

Density matrix superoperator for periodic quantum systems and its application to quantum cascade laser structures

... sents the most common DM formulation 4 that is often combined with Maxwell equations. The formulation we presented in Eq. (8) is not equal to the one in Eq. (9). It is somewhat valid to claim that Eq. (8) can be derived ...

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A Hybrid Structure Solution of Quaternion Lyapunov Equation and Its Optimal Approximation

A Hybrid Structure Solution of Quaternion Lyapunov Equation and Its Optimal Approximation

... and Kronecker product of matrices, a constrained problem will be transformed into an unconstrained ...matrix product, the optimal approximation solution with minimal Frobenius norm for a given TA ...

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