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Matematicheskie Zametki, 2015, Volume 97, Issue 4, Pages 529–555
DOI: https://doi.org/10.4213/mzm10176
(Mi mzm10176)
 

This article is cited in 5 scientific papers (total in 5 papers)

Arithmetic Complexity of Certain Linear Transformations

S. B. Gashkov

M. V. Lomonosov Moscow State University
Full-text PDF (641 kB) Citations (5)
References:
Abstract: We obtain order-sharp quadratic and slightly higher estimates of the computational complexity of certain linear transformations (binomial, Stirling, Lah, Gauss, Serpiński, Sylvester) in the basis {x+y}{ax:|a|C}{x+y}{ax:|a|C} consisting of the operations of addition and inner multiplication by a bounded constant as well as upper bounds O(nlogn)O(nlogn) for the computational complexity in the basis {ax+by:a,bR} consisting of all linear functions. Lower bounds of the form Ω(nlogn) are obtained for the basis consisting of all monotone linear functions {ax+by:a,b>0}. For the finite arithmetic basis B+,,/={x±y,xy,1/x,1} and for the bases {x±y}{nx:nN}{x/n:nN} and B+,={x+y,xy,1}, estimates O(nlognloglogn) are obtained in certain cases. In the case of a field of characteristic p, computations in the basis {x+ymodp} are also considered.
Keywords: linear transformation (binomial, Stirling, Lah, Gauss, Serpiński, Sylvester), arithmetic computational complexity of linear transformations, finite arithmetic basis, field of characteristic p,.
Funding agency Grant number
Russian Foundation for Basic Research 14-01-00598
14-01-00671а
This work was supported by the Russian Foundation for Basic Research (grants no. 14-01-00598 and no. 14-01-00671a).
Received: 01.09.2012
Revised: 05.09.2014
English version:
Mathematical Notes, 2015, Volume 97, Issue 4, Pages 531–555
DOI: https://doi.org/10.1134/S0001434615030256
Bibliographic databases:
Document Type: Article
UDC: 519.95
Language: Russian
Citation: S. B. Gashkov, “Arithmetic Complexity of Certain Linear Transformations”, Mat. Zametki, 97:4 (2015), 529–555; Math. Notes, 97:4 (2015), 531–555
Citation in format AMSBIB
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  • https://doi.org/10.4213/mzm10176
  • https://www.mathnet.ru/eng/mzm/v97/i4/p529
  • This publication is cited in the following 5 articles:
    1. Sabbir Hossain, Souradeep Mukhopadhyay, Biswarup Ray, Sudipta Kr Ghosal, Ram Sarkar, “A secured image steganography method based on ballot transform and genetic algorithm”, Multimed Tools Appl, 81:27 (2022), 38429  crossref
    2. Ghosal S.K., Mukhopadhyay S., Hossain S., Sarkar R., “Application of Lah Transform For Security and Privacy of Data Through Information Hiding in Telecommunication”, Trans. Emerg. Telecommun. Technol., 32:2 (2021), e3984  crossref  isi
    3. Mukhopadhyay S., Hossain S., Ghosal S.K., Sarkar R., “Secured Image Steganography Based on Catalan Transform”, Multimed. Tools Appl., 80:9 (2021), 14495–14520  crossref  isi
    4. Ghosal S.K., Mukhopadhyay S., Hossain S., Sarkar R., “Exploiting Laguerre Transform in Image Steganography”, Comput. Electr. Eng., 89 (2021), 106964  crossref  isi
    5. S. B. Gashkov, I. S. Sergeev, “On the Additive Complexity of GCD and LCM Matrices”, Math. Notes, 100:2 (2016), 199–212  mathnet  crossref  crossref  mathscinet  isi  elib
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