Results 11 to 20 of about 14,986 (169)
This paper is devoted to an analysis on locating and counting satellite components born along the stability circle in the parameter space for a family of Jarratt-like iterative methods.
Young Hee Geum, Young Ik Kim
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SMEFT as a slice of HEFT’s parameter space [PDF]
The Standard Model Effective Field Theory (SMEFT) is the parametrization chosen to interpret many modern measurements. We have recently discussed, building on the work of other groups, that its overall framework can be experimentally tested, beyond ...
Salas-Bernárdez Alexandre +3 more
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A Parameter Space Framework for Online Outlier Detection Over High-Volume Data Streams
In diverse applications ranging from social networks to location-based online services to traffic monitoring, data streams are continuously monitored by multiple outlier analysts customized with different parameter settings.
Guanzhe Zhao +4 more
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Dynamics and Optimization Control of a Robust Chaotic Map
Robust chaos in the discrete system is suggested to have practical as well as theoretical importance since it can obtain reliable operation in the chaotic mode.
Chunlai Li +4 more
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Bifurcations have been studied with an extensive analysis of boundary curves of red, fixed components in the parametric space for a uniparametric family of simple-root finders under the Möbius conjugacy map applied to a quadratic polynomial.
Min-Young Lee, Young Ik Kim
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DSGRN: Examining the Dynamics of Families of Logical Models
We present a computational tool DSGRN for exploring the dynamics of a network by computing summaries of the dynamics of switching models compatible with the network across all parameters.
Bree Cummins +3 more
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Derivation of Robust Stability Ranges for Disconnected Region with Multiple Parameters
The aim of this paper is to give an extension of the paper [T. Matsuda et al. Proc. 33rd IASTED Modelling, Identification and Control, 809-004, 2014], which gives a robust stability condition for a system with disconnected stability regions.
Tadasuke Matsuda
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Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages
Most combinations of NLP tasks and language varieties lack in-domain examples for supervised training because of the paucity of annotated data. How can neural models make sample-efficient generalizations from task–language combinations with available ...
Edoardo M. Ponti +5 more
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Parity-time symmetry in parameter space of polarization
Establishing parity-time (PT) symmetry in non-spatial space is a promising way to simplify the PT-symmetry system structure. In this paper, an implementation of PT symmetry in optical polarization space is reported.
Qi Ding +9 more
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This paper proposes a new spatiotemporal chaos model, which is a logistic-dynamic coupled logistic map lattice (LDCML). Through a large number of simulation experiments and theoretical analysis, it can be proved that a chaotic region has the larger ...
Wang Xingyuan +4 more
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