Results 41 to 50 of about 5,032 (199)
Macro-microscopic Calculation of Five-dimensional Potential Energy Surface for 234U Fission
Yuanzineng kexue jishu, 2022 A key question about the fission process of a heavy nucleus is to probe the nuclear potential energy landscape and its evolution from the single groundstate compound nucleus over the top of the fission barrier and further to the scission point, finally ...
ZHU Xin;WANG Zhiming;LUO Changkai;NI Lei;ZHONG Chunlai;FAN Tieshuan
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Dynamic Neural Fields with Intrinsic Plasticity
Frontiers in Computational Neuroscience, 2017 Dynamic neural fields (DNFs) are dynamical systems models that approximate the activity of large, homogeneous, and recurrently connected neural networks based on a mean field approach.
Claudius Strub +4 more
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Optimal Parametric Search for Path and Tree Partitioning
CoRR, 2017 We present linear-time algorithms for partitioning a path or a tree with weights on the vertices by removing $k$ edges to maximize the minimum-weight component. We also use the same framework to partition a path with weight on the vertices, removing $k$ edges to minimize the maximum-weight component.
Greg N. Frederickson, Samson Zhou
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Self-Consistent Charge Density-Functional Tight-Binding Parametrization for Pt–Ru Alloys
, 2017 We present a self-consistent charge density-functional tight-binding (SCC-DFTB) parametrization for PtRu alloys, which is developed by employing a training set of alloy cluster energies and forces obtained from Kohn–Sham density-functional theory (DFT ...
Ashwin Ramasubramaniam (2808112) +2 more
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Minimax Parametric Optimization Problems and Multidimensional Parametric Searching
Interdisciplinary Information Sciences, 2001 Summary: The parametric minimax problem, which finds the parameter value minimizing the weight of a solution of a combinatorial maximization problem, is a fundamental problem in sensitivity analysis. Moreover, several problems in computational geometry can be formulated as parametric minimax problems.
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, 2013 Iterated local search (ILS) is a powerful framework for developing efficient algorithms for the permutation flow-shop problem (PFSP). These algorithms are relatively simple to implement and use very few parameters, which facilitates the associated fine-
Ramalhinho-Lourenço, Helena +7 more
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Computational Search in Architectural Design [PDF]
, 2014 The objective of this PhD research is to investigate how best to use computational search processes in the early phase of design. Search algorithms are implemented in combination with parametric models of different kinds of geometry, with the purpose of ...
MENDEZ ECHENAGUCIA, TOMAS IGNACIO
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Enriching Non-Parametric Bidirectional Search Algorithms
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 NBS is a non-parametric bidirectional search algorithm proven to expand at most twice the number of node expansions required to verify the optimality of a solution. We introduce new variants of NBS that are aimed at finding all optimal solutions. We then introduce an algorithmic framework that includes NBS as a special case. Finally, we introduce DVCBS,
Shahaf S. Shperberg +4 more
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, 2023 Precise regulation of the peptide self-assembly into ordered nanostructures with intriguing properties has attracted intense attention. However, predicting peptide assembly at atomic resolution is a challenge due to both the structural flexibility of ...
Jing Ma (24574) +11 more
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Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 Algorithms of video stabilization from unmanned aerial vehicle board and search of small size targets on the video sequence frames with the prediction are proposed.
I. A. Baryskievic
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