Zobrazeno 1 - 10
of 11 091
pro vyhledávání: '"Matrix Multiplication"'
Publikováno v:
Chinese Management Studies, 2024, Vol. 18, Issue 6, pp. 1836-1859.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CMS-05-2023-0251
Autor:
Sevilay Çoruh Şenocak, Salim Yüce
Publikováno v:
Mathematica Bohemica, Vol 149, Iss 4, Pp 549-567 (2024)
The aim of this paper is to investigate the orthogonality of vectors to each other and the Gram-Schmidt method in the Minkowski space $\mathbb{R}_2^3$. Hyperbolic cosine formulas are given for all triangle types in the Minkowski plane $\mathbb{R}_1^2
Externí odkaz:
https://doaj.org/article/5233960e5ea64782bc933f54b981276e
Publikováno v:
Management Decision, 2023, Vol. 62, Issue 9, pp. 2714-2736.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MD-02-2023-0279
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 8, Pp n/a-n/a (2024)
As the demand for bio‐inspired neuromorphic systems grows, memristor has emerged as a pivotal component in artificial synaptic devices. This study delves into the advantages and limitations of the one‐transistor‐one‐resistor (1T‐1R) and 0T
Externí odkaz:
https://doaj.org/article/1f759b990fe747a9806510f620da2dcf
Publikováno v:
In Linear Algebra and Its Applications 1 March 2025 708:489-512
Publikováno v:
Jurnal Lebesgue, Vol 5, Iss 1, Pp 538-546 (2024)
Tracking the matrix is the sum of the elements on the main diagonal of the matrix. This study aims to determine the Trace of a specially shaped quadratic FLDcircr matrix. In determining the Trace of a squared FLDcircr matrix, there are a number
Externí odkaz:
https://doaj.org/article/fa6d7450c06b433ba5b30adbfc915edd
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract In this study, a binarized neural network (BNN) of silicon diode arrays achieved vector–matrix multiplication (VMM) between the binarized weights and inputs in these arrays. The diodes that operate in a positive-feedback loop in their p+-n
Externí odkaz:
https://doaj.org/article/83756f46aba04eaaa245de1f3c194208
Publikováno v:
Alexandria Engineering Journal, Vol 91, Iss , Pp 84-94 (2024)
High-performance sparse matrix multipliers are essential for deep learning applications, and as big data analytics continues to evolve, specialized accelerators are also needed to efficiently handle sparse matrix operations. This paper proposes a mod
Externí odkaz:
https://doaj.org/article/b3998b2c00ed448089686c3f1aa0b3fa
Akademický článek
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Autor:
Dhilleswararao Pudi, Yu Yang, Dimitrios Stathis, Sunil Kumar Prajapati, Srinivas Boppu, Ahmed Hemani, Linga Reddy Cenkeramaddi
Publikováno v:
IEEE Access, Vol 12, Pp 155885-155903 (2024)
Efficiently synthesizing an entire application that consists of multiple algorithms for hardware implementation is a very difficult and unsolved problem. One of the main challenges is the lack of good algorithmic libraries. A good algorithmic library
Externí odkaz:
https://doaj.org/article/d5da1297f8574bae87ac797fa1f57b5c