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检索条件"机构=Hunan Key Laboratory for Computation & Simulation in Science and Engineering"
471 条 记 录,以下是331-340 订阅
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Some applications of nonlinear science methods and support vector machine methods to protein problems
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Mini-Reviews in Organic Chemistry 2015年 第6期12卷 493-505页
作者: Hana, Guo Sheng Yu, Zu-Guo Zhao, Zhi-Qin Hunan Key Laboratory for Computation and Simulation in Science and Engineering and Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University XiangtanHunan411105 China School of Mathematical Sciences Queensland University of Technology GPO Box 2434 BrisbaneQ4001 Australia
Protein folding, prediction of protein structure and functions are most important problems in bioinformatics. The protein fold process mainly reflects in the kinetic order of folding. Predicting the structural classes... 详细信息
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3D simulation of Flow with Free Surface Based on Adaptive Octree Mesh System
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Transactions of Tianjin University 2015年 第1期21卷 32-40页
作者: 李绍武 庄茜 黄筱云 王东 State Key Laboratory of Hydraulic Engineering Simulation and Safety Tianjin University Key Laboratory of Water-Sediment Science and Water Disaster Prevention of Hunan Province Changsha University of Science and Technology School of Civil Engineering Tianjin Chengjian University
The technique of adaptive tree mesh is an effective way to reduce computational cost through automatic adjustment of cell size according to necessity. In the present study, the 2D numerical N-S solver based on the ada... 详细信息
来源: 评论
Whole genome/proteome based phylogeny reconstruction for prokaryotes using higher order Markov model and chaos game representation
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Molecular phylogenetics and evolution 2016年 96卷 102-111页
作者: Wei-Feng Yang Zu-Guo Yu Vo Anh Hunan Key Laboratory for Computation and Simulation in Science and Engineering and Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Hunan 411105 PR China Department of Mathematics and Physics Hunan Institute of Engineering Hunan 411104 PR China. Electronic address: yangweifeng09@***. School of Mathematical Sciences Queensland University of Technology GPO Box 2434 Brisbane QLD 4001 Australia. Electronic address: yuzuguo@***. School of Mathematical Sciences Queensland University of Technology GPO Box 2434 Brisbane QLD 4001 Australia. Electronic address: v.anh@qut.edu.au.
UNLABELLED:Traditional methods for sequence comparison and phylogeny reconstruction rely on pair wise and multiple sequence alignments. But alignment could not be directly applied to whole genome/proteome comparison a... 详细信息
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Maximum-norm error analysis of a difference scheme for the space fractional CNLS
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Applied Mathematics and computation 2015年 257卷 241-251页
作者: Dongling Wang Aiguo Xiao Wei Yang Department of Mathematics and Center for Nonlinear Studies Northwest University Xi’an Shaanxi 710127 PR China Hunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan University Xiangtan Hunan 411105 PR China
The difference method for the space fractional coupled nonlinear Schrödinger equations (CNLS) is studied. The fractional centered difference is used to approximate the space fractional Laplacian. This scheme cons... 详细信息
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First-order optimality condition of basis pursuit denoise problem
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Applied Mathematics and Mechanics(English Edition) 2014年 第10期35卷 1345-1352页
作者: 朱玮 舒适 成礼智 School of Mathematics and Computational Science Xiangtan University Hunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan University Department of Mathematics and Computational Science College of ScienceNational University of Defense Technology
A new first-order optimality condition for the basis pursuit denoise (BPDN) problem is derived. This condition provides a new approach to choose the penalty param- eters adaptively for a fixed point iteration algori... 详细信息
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Whole-proteome based phylogenetic tree construction with inter-amino-acid distances and the conditional geometric distribution profiles
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Molecular phylogenetics and evolution 2015年 89卷 37-45页
作者: Xian-Hua Xie Zu-Guo Yu Guo-Sheng Han Wei-Feng Yang Vo Anh Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Hunan 411105 PR China School of Mathematics and Computer Science Gannan Normal University Jiangxi 341000 PR China. Electronic address: xxianhua@***. School of Mathematical Sciences Queensland University of Technology GPO Box 2434 Brisbane QLD 4001 Australia. Electronic address: yuzuguo@***. Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Hunan 411105 PR China. Electronic address: korea10282003@***. Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Hunan 411105 PR China. Electronic address: yangweifeng09@***. School of Mathematical Sciences Queensland University of Technology GPO Box 2434 Brisbane QLD 4001 Australia. Electronic address: v.anh@qut.edu.au.
There has been a growing interest in alignment-free methods for whole genome comparison and phylogenomic studies. In this study, we propose an alignment-free method for phylogenetic tree construction using whole-prote... 详细信息
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Exponentially Accurate Rayleigh–Ritz Method for Fractional Variational Problems
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Journal of computational and Nonlinear Dynamics 2015年 第5期10卷 051009页
作者: Mao, Zhi Xiao, Aiguo Wang, Dongling Yu, Zuguo Shi, Long Hunan Key Laboratory for Computationand Simulation in Science and Engineering Xiangtan UniversityXiangtan Hunan 411105 China School of Mathematics Northwest UniversityXi’an Shaanxi 710127 China
A high accurate Rayleigh–Ritz method is developed for solving fractional variational problems (FVPs). The Jacobi poly-fractonomials proposed by Zayernouri and Karniadakis (2013, “Fractional Sturm–Liouville Eigen-Pr... 详细信息
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Proximity point algorithm for low-rank matrix recovery from sparse noise corrupted data
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Applied Mathematics and Mechanics(English Edition) 2014年 第2期35卷 259-268页
作者: 朱玮 舒适 成礼智 School of Mathematics and Computational Science Xiangtan University Hunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan University Department of Mathematics and Computational Science College of ScienceNational University of Defense Technology
The method of recovering a low-rank matrix with an unknown fraction whose entries are arbitrarily corrupted is known as the robust principal component analysis (RPCA). This RPCA problem, under some conditions, can b... 详细信息
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A linearly implicit conservative difference scheme for the space fractional coupled nonlinear Schrödinger equations
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Journal of computational Physics 2014年 272卷 644-655页
作者: Wang, Dongling Xiao, Aiguo Yang, Wei Department of Mathematics Northwest University Xi'an 710069 China Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and oInformation Processing of Ministry of Education Xiangtan University Xiangtan Hunan 411105 China
In this paper, a linearly implicit conservative difference scheme for the coupled nonlinear Schrödinger equations with space fractional derivative is proposed. This scheme conserves the mass and energy in the dis... 详细信息
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An Efficient Proximity Point Algorithm for Total-Variation-Based Image Restoration
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Advances in Applied Mathematics and Mechanics 2014年 第2期6卷 145-164页
作者: Wei Zhu Shi Shu Lizhi Cheng School of Mathematics and Computational Science Xiangtan UniversityXiangtan 411105HunanChina Hunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan UniversityXiangtan 411105HunanChina Department of Mathematics and Computational Science College of ScienceNational University of Defense TechnologyChangsha 410073HunanChina
In this paper,we propose a fast proximity point algorithm and apply it to total variation(TV)based image *** novel method is derived from the idea of establishing a general proximity point operator framework based on ... 详细信息
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