Results 101 to 110 of about 566,685 (362)
We study the Hamiltonian dynamics of a five-dimensional Chern–Simons theory for the gauge algebra $$C_5$$ C5 of Izaurieta, Rodriguez and Salgado, the so-called $$\hbox {S}_H$$ SH -expansão of the 5D (anti-)de Sitter algebra (a)ds, based on the cyclic ...
Matheus M. A. Paixão, Olivier Piguet
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Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
The complexity of some families of cycle-related graphs
In this paper, we derive new formulas for the number of spanning trees of a specific family of graphs – gear graphs, flower graphs, sun graphs and sphere graphs – using techniques from linear algebra, Chebyshev polynomials and matrix theory.
S.N. Daoud, K. Mohamed
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Bell Nonlocality in Hybrid Networks
This study explores nonlocal correlations in the hybrid networks, including classical, quantum and no‐signaling resource emitting local hidden variables, quantum stabilizer states and no‐signaling systems to variant observers. We construct the Bell operators using stabilizing operators and then find the upper bounds in hybrid networks.
Li‐Yi Hsu
wiley +1 more source
Vertex operator algebras, Higgs branches, and modular differential equations
Every four-dimensional N=2 $$ \mathcal{N}=2 $$ superconformal field theory comes equipped with an intricate algebraic invariant, the associated vertex operator algebra.
Christopher Beem, Leonardo Rastelli
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Efficient Dynamics: Reduced‐Order Modeling of the Time‐Dependent Schrödinger Equation
Reduced‐order modeling (ROM) approaches for the time‐dependent Schrödinger equation are investigated, highlighting their ability to simulate quantum dynamics efficiently. Proper Orthogonal Decomposition, Dynamic Mode Decomposition, and Reduced Basis Methods are compared across canonical systems and extended to higher dimensions.
Kolade M. Owolabi
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Abstract Large swarms often adopt a hierarchical network structure that incorporates information aggregation. Although this approach offers significant advantages in terms of communication efficiency and computational complexity, it can also lead to degradation due to information constraints.
Kento Fujita, Daisuke Tsubakino
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Risk‐aware safe reinforcement learning for control of stochastic linear systems
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
Abstract In the classroom, metabolism is often approached and received as a mundane exercise in memorization. Teaching metabolism also faces the challenge of negative perceptions that can impede learning. We sought to improve the learning experience in an undergraduate lecture course on microbial metabolism by implementing an illustrated story that ...
James B. McKinlay, Katherine Kearns
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Generalized Extended Matrix Variate Beta and Gamma Functions and Their Applications
In this article, we define and study generalized forms of extended matrix variate gamma and beta functions. By using a number of results from matrix algebra, special functions of matrix arguments and zonal polynomials we derive a number of properties of ...
Daya K. Nagar +2 more
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