Results 21 to 30 of about 6,241 (212)

Multiplicity-Free Key Polynomials

open access: yesAnnals of Combinatorics, 2022
The key polynomials, defined by A. Lascoux-M.-P. Schützenberger, are characters for the Demazure modules of type A. We classify multiplicity-free key polynomials. The proof uses two combinatorial models for key polynomials. The first is due to A. Kohnert. The second is by S. Assaf-D. Searles, in terms of quasi-key polynomials.
Hodges, Reuven, Yong, Alexander
openaire   +2 more sources

On multiple q-Laguerre polynomials

open access: yesJournal of Classical Analysis, 2023
Summary: We study \(q\)-Laguerre multiple orthogonal polynomials. These polynomials are orthogonal with respect to \(q\)-analogues of Laguerre weight functions. We focus our attention on their structural properties. Raising and lowering operators as well as Rodrigues-type formulas are obtained and their explicit representations are given.
Sadjang, P. Njionou   +2 more
openaire   +2 more sources

Squeezed Polynomial Codes: Communication-Efficient Coded Computation in Straggler-Exploiting Distributed Matrix Multiplication

open access: yesIEEE Access, 2020
In a distributed computing environment, there may exist slow processing workers, which are known as “stragglers”, and they can slow down the whole computing process.
Sangwoo Hong, Heecheol Yang, Jungwoo Lee
doaj   +1 more source

Racing BIKE: Improved Polynomial Multiplication and Inversion in Hardware

open access: yesTransactions on Cryptographic Hardware and Embedded Systems, 2021
BIKE is a Key Encapsulation Mechanism selected as an alternate candidate in NIST’s PQC standardization process, in which performance plays a significant role in the third round.
Jan Richter-Brockmann   +3 more
doaj   +1 more source

Area-Efficient Polynomial Multiplication Hardware Implementation for Lattice-based Cryptography [PDF]

open access: yesJisuanji gongcheng
Lattice-based post-quantum cryptography algorithms demonstrate significant potential in public-key cryptography. A key performance bottleneck in hardware implementation is the computational complexity of polynomial multiplication. To address the problems
XIE Jiaxing, PU Jinwei, FANG Weitian, ZHENG Xin, XIONG Xiaoming
doaj   +1 more source

Global existence and blow up of solution for semi-linear hyperbolic equation with the product of logarithmic and power-type nonlinearity [PDF]

open access: yesOpuscula Mathematica, 2020
In this paper we consider the semilinear wave equation with the multiplication of logarithmic and polynomial nonlinearities. We establish the global existence and finite time blow up of solutions at three different energy levels (\(E(0)\lt d\), \(E(0)=d\)
Wei Lian, Md Salik Ahmed, Runzhang Xu
doaj   +1 more source

Efficient Homomorphic Encryption Accelerator With Integrated PRNG Using Low-Cost FPGA

open access: yesIEEE Access, 2022
With recent development in internet speed and reliability, cloud computing has become a more reliable solution for the user. In many cases where data privacy is critical, fully homomorphic encryption (FHE) can be a security solution for securing cloud ...
Infall Syafalni   +4 more
doaj   +1 more source

A lower bound for the multiplication of polynomials modulo a polynomial [PDF]

open access: yesInformation Processing Letters, 1992
In 1983 \textit{A. Lempel}, \textit{G. Seroussi} and \textit{S. Winograd} [Theor. Comput. Sci. 22, 285-296 (1983; Zbl 0498.68027)] proved the lower bound \((2+1/(q-1))n-o(n)\) for the multiplicative complexity of the multiplication of two polynomials of degree \(n-1\) modulo an irreducible polynomial \(p\) of degree \(n\) over a finite field \(F\) with
openaire   +1 more source

On Littlewood and Newman polynomial multiples of Borwein polynomials

open access: yesMathematics of Computation, 2017
Polynomials with coefficients in the sets \(\{-1,1\}\), \(\{0,1\}\) and \(\{-1,0,1\}\) are called Littlewood-Newman-Borwein polynomials, respectively. In [Math. Comput. 78, No. 265, 327--344 (2009; Zbl 1208.11123)], the reviewer and the second author investigated various divisibility relations between these three sets of polynomials.
Paulius Drungilas   +2 more
openaire   +3 more sources

Parallel Integer Polynomial Multiplication [PDF]

open access: yes2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2016
We propose a new algorithm for multiplying dense polynomials with integer coefficients in a parallel fashion, targeting multi-core processor architectures. Complexity estimates and experimental comparisons demonstrate the advantages of this new approach.
Chen, Changbo   +5 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy