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parameter matrix decomposition

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  • Matrix exponential — In mathematics, the matrix exponential is a matrix function on square matrices analogous to the ordinary exponential function. Abstractly, the matrix exponential gives the connection between a matrix Lie algebra and the corresponding Lie group.… …   Wikipedia

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  • Jordan matrix — In the mathematical discipline of matrix theory, a Jordan block over a ring R (whose identities are the zero 0 and one 1) is a matrix which is composed of 0 elements everywhere except for the diagonal, which is filled with a fixed element… …   Wikipedia

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  • General Matrix Multiply — The General Matrix Multiply (GEMM) is a subroutine in the Basic Linear Algebra Subprograms (BLAS) which performs matrix multiplication, that is the multiplication of two matrices. This includes: SGEMM for single precision, DGEMM for double… …   Wikipedia

  • Lorentz group — Group theory Group theory …   Wikipedia

  • Euclidean vector — This article is about the vectors mainly used in physics and engineering to represent directed quantities. For mathematical vectors in general, see Vector (mathematics and physics). For other uses, see vector. Illustration of a vector …   Wikipedia

  • Time-frequency analysis — is a body of techniques for characterizing and manipulating signals whose component frequencies vary in time, such as transient signals.Whereas the technique of the Fourier transform can be used to obtain the frequency spectrum of a signal whose… …   Wikipedia

  • Non-linear least squares — is the form of least squares analysis which is used to fit a set of m observations with a model that is non linear in n unknown parameters (m > n). It is used in some forms of non linear regression. The basis of the method is to… …   Wikipedia

  • Linear least squares/Proposed — Linear least squares is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to observations obtained from experiments. Mathematically, it can be stated as the problem of… …   Wikipedia

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