检索结果-内蒙古大学图书馆

Patterns and localized structures in a hybrid non-equilibrium Ising model

PHYSICA D-NONLINEAR PHENOMENA 2004年第1-2期199卷 82-90页

作者： Pismen, LM Monine, MI Tchernikov, GV Inst Catalysis Sci Minerva Ctr Nonlinear Phys Complex Syst Dept Chem Engn IL-32000 Haifa Israel Technion Israel Inst Technol IL-32000 Haifa Israel

We study a hybrid non-equilibrium pattern formation model combining short-scale Ising model with a continuous slow or long scale inhibitor. The computation combines alternates monte-carlo algorithm with updating of the inhibitor field. It is very fast, and allows us to study the influence of various factors, such as scale ratios, coupling strength, bias, temperature (level of noise), anisotropy, etc., on the pattern formation and behavior of emerging non-equilibrium structures. (C) 2004 Elsevier B.V. All rights reserved.

关键词： non-equilibrium patterns Ising model monte-carlo algorithm hybrid method

来源：评论

学校读者我要写书评

暂无评论

Stochastic Predictive Control of Multi-Microgrid Systems

引用

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2019年第5期55卷 5311-5319页

作者： Bazmohammadi, Najmeh Tahsiri, Ahmadreza Anvari-Moghaddam, Amjad Guerrero, Josep M. KN Toosi Univ Technol Dept Elect Engn Tehran 163171419 Iran Aalborg Univ Dept Energy Technol DK-9220 Aalborg Denmark

In this paper, integrated operation management of cooperative microgrids is formulated in the framework of stochastic predictive control. In the proposed scheme, a joint probabilistic constraint on the microgrids power exchange with the main grid couples operation of individual microgrids. In order to tackle the coupling constraint, a cooperative energy management strategy is proposed in which based on the statistical characteristics of uncertain parameters, the deterministic counterpart of the problem is derived and an efficient solution strategy is achieved. The proposed strategy is evaluated for an illustrative test case including two microgrids based on modified CIGRE benchmark. Moreover, statistical analysis is conducted to evaluate robustness characteristics of the solution strategy.

关键词： Chance constraints energy management system (EMS) model predictive control (MPC) monte-carlo algorithm multi-microgrid systems

来源：评论

学校读者我要写书评

暂无评论

DHUGIN - A COMPUTATIONAL SYSTEM FOR DYNAMIC TIME-SLICED BAYESIAN NETWORKS

引用

INTERNATIONAL JOURNAL OF FORECASTING 1995年第1期11卷 89-111页

作者： KJAERULFF, U AALBORG UNIV DEPT MATH & COMP SCIFREDRIK BAJERS VEJ 7EDK-9220 AALBORG 0DENMARK

A computational system for reasoning about dynamic time-sliced systems using Bayesian networks is presented. The system, called dHugin, may be viewed as a generalization of the inference methods of classical discrete time-series analysis in the sense that it allows description of non-linear, discrete multivariate dynamic systems with complex conditional independence structures. The paper introduces the notions of dynamic time-sliced Bayesian networks, a dynamic time window, and common operations on the time window. Inference, pertaining to the time window and time slices preceding it, are formulated in terms of the well-known message passing scheme in junction trees. Backward smoothing, for example, is performed efficiently through inter-tree message passing. Further, the system provides an efficient monte-carlo algorithm for forecasting;i.e. inference pertaining to time slices succeeding the time window. The system has been implemented on top of the Hugin shell.

关键词： BAYESIAN BELIEF NETWORK JUNCTION TREE TIME SERIES ANALYSIS DISCRETE MARKOV CHAIN NONLINEAR MULTIVARIATE DYNAMIC SYSTEM monte-carlo algorithm

来源：评论

学校读者我要写书评

暂无评论

Fast monte-carlo low rank approximations for matrices

Fast Monte-Carlo low rank approximations for matrices

引用

IEEE/SMC International Conference on System of Systems Engineering

作者： Friedland, Shmuel Niknejad, Amir Kaveh, Mostafa Zare, Hossein Univ Illinois Dept Math Stat & Comp Sci Chicago IL 60607 USA Univ Minnesota Dept Elect & Comp Engn Minneapolis MN 55455 USA

ISBN: (纸本)9781424401871

In many applications, it is of interest to approximate data, given by m x n matrix A, by a matrix B of at most rank k, which is much smaller than m and n. The best approximation is given by singular value decomposition, which is too time consuming for very large m and n. We present here a monte carlo algorithm for iteratively computing a k-rank approximation to the data consisting of m x n matrix A. Each iteration involves the reading of O(k) of columns or rows of A. The complexity of our algorithm is O(kmn). Our algorithm, distinguished from other known algorithms, guarantees that each iteration is a better k-rank approximation than the previous iteration. We believe that this algorithm will have many applications in data mining, data storage and data analysis.

关键词： SVD decomposition fast k-rank approximation monte-carlo algorithm

来源：评论

学校读者我要写书评

暂无评论

Research on Optimal Inspection Strategy for Overhead Transmission Line Based on Smart Grid 9th

Research on Optimal Inspection Strategy for Overhead Transmi...

引用

9th International Conference on Ambient Systems, Networks and Technologies (ANT) / 8th International Conference on Sustainable Energy Information Technology (SEIT)

作者： Liu Jian Gao Feng Zhao Ming Chen Liuning Li Weiyao Wuhan Univ Sch Elect Engn Wuhan 430072 Peoples R China State Grid Zhengzhou Power Supply Co Zhengzhou 450052 Henan Peoples R China State Grid Nanyang Power Supply Co Nanyang 473005 Henan Peoples R China

Due to the urgent demand for the monitoring of overhead transmission lines in smart grid, this paper proposes an optimal inspection strategy for overhead transmission line considering time-varying failure rate. Based on the goal benefit function of inspection cost, failure electric cost and the maintaining reliability cost, modal of the inspection strategy is established with genetic algorithm. The reliability index could contribute to a dynamic and variable inspection cycle of transmission line via genetic algorithm. According to the calculation results of the middle area of China, it is presented that the algorithm can work out inspection strategy according to the actual failure rate, and get a rational and economical, regional, seasonal, dynamic inspection cycle plan. Thus, it can avoid the traditional over-inspection and lack-inspection problems. The state of transmission line can be guaranteed in more economical way, satisfying the demand of real-time capability and reliability (C) 2018 The Authors. Published by Elsevier B.V.

关键词： smart grid overhead transmission line inspection strategy time-varying failure rate monte-carlo algorithm

来源：评论

学校读者我要写书评

暂无评论

Patterns and localized structures in a hybrid non-equilibrium Ising model

Patterns and localized structures in a hybrid non-equilibriu...

引用

Workshop on Trends in Pattern Formation

作者： Pismen, LM Monine, MI Tchernikov, GV Inst Catalysis Sci Minerva Ctr Nonlinear Phys Complex Syst Dept Chem Engn IL-32000 Haifa Israel Technion Israel Inst Technol IL-32000 Haifa Israel

关键词： non-equilibrium patterns Ising model monte-carlo algorithm hybrid method

来源：评论

学校读者我要写书评

暂无评论

Exploiting the Polyhedral Geometry of Stochastic Linear Bilevel Programming 24th

Exploiting the Polyhedral Geometry of Stochastic Linear Bile...

引用

24th International Conference on Integer Programming and Combinatorial Optimization (IPCO)

作者： Munoz, Gonzalo Salas, David Svensson, Anton Univ OHiggins Inst Ciencias Ingenierfa Rancagua Chile

ISBN: (纸本)9783031327254;9783031327261

We study linear bilevel programming problems whose lower-level objective is given by a random cost vector with known distribution. We consider the case where this distribution is nonatomic, allowing to pose the problem of the leader using vertex-supported beliefs in the sense of [29]. We prove that, under suitable assumptions, this formulation turns out to be piecewise affine over the so-called chamber complex of the feasible set of the high point relaxation. We propose two algorithmic approaches to solve general problems enjoying this last property. The first one is based on enumerating the vertices of the chamber complex. The second one is a monte-carlo approximation scheme based on the fact that randomly drawn points of the domain lie, with probability 1, in the interior of full-dimensional chambers, where the problem (restricted to this chamber) can be reduced to a linear program.

关键词： Bilevel Programming Bayesian Approach Chamber complex Enumeration algorithm monte-carlo algorithm

来源：评论

学校读者我要写书评

暂无评论

CLUSTER algorithmS FOR NONLINEAR SIGMA-MODELS

CLUSTER ALGORITHMS FOR NONLINEAR SIGMA-MODELS

引用

WORKSHOP ON FERMION algorithmS

作者： WOLFF, U

来源：评论

学校读者我要写书评

暂无评论

Research on Series-connected Augmented Railgun Inductance Gradient and Its Influencing parameters

Research on Series-connected Augmented Railgun Inductance Gr...

引用

2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering (ICCMCEE 2015)

作者： WAN Min WANG Zhiheng LI Xiaojiang The Academy of Equipment

ISBN: (纸本)9781510813465

The inductance gradient is one of the most important indexes to evaluate the performance of the electromagnetic railgun. It has important theoretical and practical value to research the inductance gradient and its influencing parameters. According to the Biot-Savat's law and the principle of virtual work, the expression of the inductance gradient considered the skin effect of current has been given, and by using monte-carlo algorithm the numerical solution has been calculated. In order to verify the correctness and accuracy of the model, the finite element simulation software is used to compare with the numerical solution. Based on the model, the influencing parameters of inductance gradient has been analyzed, and the variation of the inductance gradient has been summarized. The results show that, the inductance gradient decrease with the separation distance between the inside and outside rail, decrease with the height and width of the rail, increase with the displacement of the armature then tend to constant. The research can provide a reference for the design of series-connected augmented railgun.

关键词： Series-connected Augmented railgun inductance gradient monte-carlo algorithm finite element simulation influencing parameters

来源：评论

学校读者我要写书评

暂无评论

The kernel polynomial method

引用

Reviews of Modern Physics 2006年第1期78卷 275-275页

作者： Alexander Weiße Gerhard Wellein Andreas Alvermann Holger Fehske Institut für Physik Ernst-Moritz-Arndt-Universität Greifswald D-17487 Greifswald Germany

Efficient and stable algorithms for the calculation of spectral quantities and correlation functions are some of the key tools in computational condensed-matter physics. In this paper basic properties and recent developments of Chebyshev expansion based algorithms and the kernel polynomial method are reviewed. Characterized by a resource consumption that scales linearly with the problem dimension these methods enjoyed growing popularity over the last decade and found broad application not only in physics. Representative examples from the fields of disordered systems, strongly correlated electrons, electron-phonon interaction, and quantum spin systems are discussed in detail. In addition, an illustration on how the kernel polynomial method is successfully embedded into other numerical techniques, such as cluster perturbation theory or monte carlo simulation, is provided.

关键词： DEPENDENT SCHRODINGER-EQUATION BINDING MOLECULAR-DYNAMICS LOCAL ATOMICENVIRONMENT MAXIMUM-ENTROPY APPROACH monte-carlo algorithm DOUBLE-EXCHANGE MODEL ELECTRONIC-STRUCTURE MODIFIED-MOMENTS GAUSSIAN QUADRATURE CLASSICAL CROSSOVER

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：