Results 251 to 260 of about 624,218 (290)

The matrix Laguerre transform

Applied Mathematics and Computation, 1984
The Laguerre transform, introduced by \textit{J. Keilson} and \textit{W. R. Nunn} [ibid. 5, 313-359 (1979; Zbl 0449.65086)], \textit{J. Keilson}, \textit{W. R. Nunn} and the author [ibid. 8, 137-174 (1981; Zbl 0457.42011)], and further studied by the author [Development of the Laguerre transform method for numerical exploration of applied probability ...
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Matrix Transformations

2021
Gokulananda Das, Sudarsan Nanda
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Matrix Equations and Transformations

1986
In this chapter we consider solutions of a linear set of equations using some of the concepts discussed in Chapter 4. In addition, we introduce the concepts of a vector space, rank of a matrix, and so on. We end the chapter with a discussion of various transformations that are popular in the digital signal processing area.
John E. Hershey, R. K. Rao Yarlagadda
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The Matrix Transform Processor

IEEE Transactions on Computers, 1976
A matrix transform processor (MTP) for an Evans and Sutherland LDS-2 graphics system has been designed and built at the University of North Carolina. The MTP performs all the important functions of a matrix multiplier, clipper, and perspective divider.
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Matrix Transformations

2014
Józef Banaś, Mohammad Mursaleen
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The biofilm matrix: multitasking in a shared space

Nature Reviews Microbiology, 2022
Hans-Curt Flemming, Eric D Van Hullebusch, Thomas R Neu   +2 more
exaly  

Matrix möbius transformations

Communications in Algebra, 1981
Binyamin Schwarz, Abraham Zaks
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Matrix Integral Transforms

Journal of the London Mathematical Society, 1963
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Extracellular vesicle–matrix interactions

Nature Reviews Materials, 2023
, Jae-won Shin
exaly  

Matrix Transformations and Factorizations

2017
In most applications of linear algebra, problems are solved by transformations of matrices. A given matrix (which represents some transformation of a vector) is itself transformed. The simplest example of this is in solving the linear system Ax = b, where the matrix A represents a transformation of the vector x to the vector b.
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