Results 71 to 80 of about 427,151 (188)
Quantum Implementation of AIM: Aiming for Low-Depth
Applied SciencesSecurity vulnerabilities in the symmetric-key primitives of a cipher can undermine the overall security claims of the cipher. With the rapid advancement of quantum computing in recent years, there is an increasing effort to evaluate the security of ...
Kyungbae Jang +3 more
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A Full Nesterov-Todd Step Infeasible Interior-point Method for Symmetric Optimization in the Wider Neighborhood of the Central Path. [PDF]
Stat Optim Inf Comput, 2021 Lesaja G, Wang GQ, Oganian A.
europepmc +1 more source
Performance of algebraic multigrid methods for non-symmetric matrices arising in particle methods
, 2009 Large linear systems with sparse, non-symmetric matrices arise in the modeling of Markov chains or in the discretization of convection-diffusion problems.
Seibold, Benjamin
core
Computational design of nanophotonic structures using an adaptive finite element method
, 2016 We consider the problem of the construction of the nanophotonic structures of arbitrary geometry with prescribed desired properties. We reformulate this problem as an optimization problem for the Tikhonov functional which is minimized on adaptively ...
Beilina, L., Mpinganzima, L., Tassin, P.
core
International Journal of Mathematics And Computer ResearchVarious bounds on p, such as Bertrand’s Postulate and Legendre’s Conjecture, propose regions around n that have at at I least one prime within them. Using Prime Generator Theory, show more precise symmetric bounds on p, such that for n a prime exists symmetrically within a distance of n1/2 below and above it.
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Jixie chuandong, 2020 Optimum design about geometric parameters，i.e. link lengths is one of the most important issues in the field of parallel robots. In order to facilitate optimization of the geometric parameters of 5R parallel robot，the following steps are given. First，the
Zeqi Wu +3 more
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Bounding Optimality Gap in Stochastic Optimization via Bagging: Statistical Efficiency and Stability
, 2018 We study a statistical method to estimate the optimal value, and the optimality gap of a given solution for stochastic optimization as an assessment of the solution quality.
Lam, Henry, Qian, Huajie
core
Product innovation and logistic optimization in a novel urban-type model [PDF]
We consider the strategic choice between product innovation and logistic optimization in a novel urban framework where consumers are distributed across the city and have different incomes depending on their location in the town. Depending on the relative
Luigi Filippini, Stefano Colombo
core
Optimal orthogonal approximations to symmetric tensors cannot always be chosen symmetric
, 2019 We study the problem of finding orthogonal low-rank approximations of symmetric tensors. In the case of matrices, the approximation is a truncated singular value decomposition which is then symmetric. Moreover, for rank-one approximations of tensors of any dimension, a classical result proven by Banach in 1938 shows that the optimal approximation can ...
Mickelin, Oscar, Karaman, Sertac
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Optimal Strategies for Symmetric Matrix Games with Partitions
Bulletin of the Belgian Mathematical Society - Simon Stevin, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
De Schuymer, Bart +2 more
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