Results 71 to 80 of about 3,205,738 (186)
Attractors with large complex structure for one-parameter families of Calabi-Yau manifolds
The attractor equations for an arbitrary one-parameter family of Calabi-Yau manifolds are studied in the large complex structure region. These equations are solved iteratively, generating what we term an N-expansion, which is a power series in the Gromov-
Philip Candelas +2 more
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Accurate estimation of unknown parameters of complex photovoltaic models is crucial to whether photovoltaic generators can efficiently convert energy. When a photovoltaic model has multiple diode branches, its complexity increases geometrically.
Xiaoyun Yang +4 more
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Interspecies interactions are an integral determinant of microbial community dynamics
This study investigated the factor that the determine the dynamics of bacterial communities in a complex system using multidisciplinary methods. Since real and engineered microbial ecosystems are too complex, six types of synthetic microbial ecosystems (
Fatma Azwani Abdul Aziz +11 more
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On Quantum Iterated Function Systems
Quantum Iterated Function System on a complex projective space is defined by a family of linear operators on a complex Hilbert space. The operators define both the maps and their probabilities by one algebraic formula.
A. Jadczyk +7 more
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Fixed-Parameter Complexity in AI and Nonmonotonic Reasoning
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Gottlob, Georg +2 more
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In this paper, we study the improved block splitting (IBS) iteration method and its accelerated variant, the accelerated improved block splitting (AIBS) iteration method, for solving linear systems of equations stemming from the discretization of the ...
Yanan Zhu, Naimin Zhang, Zhen Chao
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Manipulator systems are widely used in payload capture and movement in the ground/space operation due to their dexterous manipulation capability. In this study, a method for identifying the payload parameters of a flexible space manipulator using the ...
Zhiyu Ni +3 more
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Modeling of complex-valued Wiener systems using B-spline neural network
In this brief, a new complex-valued B-spline neural network is introduced in order to model the complex-valued Wiener system using observational input/output data. The complex-valued nonlinear static function in the Wiener system is represented using the
Chen, Sheng, Hong, Xia
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Sparse signal processing theory has been applied to synthetic aperture radar (SAR) imaging. In compressive sensing (CS), the sparsity is usually considered as a known parameter. However, it is unknown practically.
Mingqian Liu +3 more
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The complex correntropy is a recently defined similarity measure that extends the advantages of conventional correntropy to complex-valued data. As in the real-valued case, the maximum complex correntropy criterion (MCCC) employs a free parameter called ...
Manoel B. L. Aquino +4 more
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