Methods to model

Xem 1-20 trên 1822 kết quả Methods to model
  • This paper presents the Directional Derivative method to determine location and boundaries of the magnetic directional structure sources through a new function DG (Directional Gradient - DG). Algorithm and computer program are made a code by Matlab language to attempt to calculate on 3D models in the compare with Horizontal derivative method (HG).

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  • Tham khảo sách 'modelling of mechanical systems structural elements francois axisa', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf521p chipmoon 19-07-2012 83 19   Download

  • Tham khảo sách 'methods to monitor the human right to adequate food', kỹ thuật - công nghệ, tự động hoá phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf187p nt18102 23-05-2013 46 3   Download

  • Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This paper explores the use of lasso for statistical language modeling for text input. Owing to the very large number of parameters, directly optimizing the penalized lasso loss function is impossible.

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  • The paper presents the theory, model, weak form, finite element method and return-mapping algorithm for the isotropic hardening elastic-plastic problem. Then applying the algorithm to numerically simulate a variety of plane strain problems.

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  • One of the important requirements for GAMMA+ and AGREE is an accurate modeling capability of a bypass flow in a prismatic core. Recently, a series of air experiments were performed at Seoul National University (SNU) in order to understand bypass flow behavior and generate an experimental database for the validation of computer codes. The main objective of the present work is to validate the GAMMA+ and AGREE codes using the experimental data published by SNU.

    pdf8p minhxaminhyeu5 30-06-2019 39 0   Download

  • In this paper, a method to identify the dynamic parameters of ships is proposed. Accordingly, firstly, the parallel model and the Lyapunov method to identify the parameters of the model are used. Then, the proposed method to adjust the dynamic parameters of the model that ensures convergence of parameters of model on the dynamic parameters of the ship is used.

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  • This paper proposes the application of the normalized full gradient (NFG) method to resistivity studies and illustrates that the method can greatly reduce the time and work load needed in detecting buried bodies using resistivity measurement.

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  • The dependence factors in power systems should be considered in stochastic power flow computation, so Joint Normal Transform (JNT), belonging to the copula function technology, is improved to model these dependences.

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  • The authors have carried out studies on long term behavior of concrete-filled steel tubular (CFST) column by numerical methods based on experimental data that is described by a visco-elastic model, and the age-adjusted effective modulus (AAEM) method is adopted to modelling creep behavior of the concrete core, which is evaluated by the Finite Element Method (FEM) combined Prony's series interpolation by using ANSYS software.

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  • A statistical modeling tool is presented that enables real-time viewing of how changes in method, process, and stability variability/bias impact product acceptance rate. The tool can be used to set and justify specifications. As needed, additional sources of variability/bias can be added to further optimize the tool’s prediction power. The tool can be used to assess each manufacturing run to ensure the process is in control. Aberrant results can then be investigated to see what source of variability/bias may have changed.

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  • Electromagnetic devices are present everywhere in our daily life. In particular, they extremely play an important role in the fields of the electrical system. Therefore, the modeling and analyzing the electromagetic problems become currently a matter of concern and topicality for researchers and designers of electrical devices. This paper introduces a finite element method to compute accurate distributions of leakage and fringing fluxes with air-gap variations, and eddy current losses of the magnetic circuits, that cannot generally be solved by a direct analytic method.

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  • The thesis directs at providing tools, which support for automatic trans-lation from an application of event-driven systems to a target Event-B model that makes less e ort and reduces the diculties in modeling pro-cess. The output of these tools are expected to be able usable in the Event-B supporting tools such as Rodin.

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  • Available methods to simulate nucleotide or amino acid data typically use Markov models to simulate each position independently. These approaches are not appropriate to assess the performance of combinatorial and probabilistic methods that look for coevolving positions in nucleotide or amino acid sequences.

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  • The modelling of mechanical systems provides engineers and students with the methods to model and understand mechanical systems by using both mathematical and computer-based tools. Written by an eminent authority in the field, this is the second of four volumes which provide engineers with a comprehensive resource on this cornerstone mechanical engineering subject. Dealing with continuous systems, this book covers solid mechanics, beams, plates and shells.

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  • Monte Carlo methods are ubiquitous in applications in the finance and insurance industry. They are often the only accessible tool for financial engineers and actuaries when it comes to complicated price or risk computations, in particular for those that are based on many underlyings. However, as they tend to be slow, it is very important to have a big tool box for speeding them up or – equivalently – for increasing their accuracy. Further, recent years have seen a lot of developments in Monte Carlo methods with a high potential for success in applications.

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  • Chris Adcock is Professor of Financial Econometrics in the University of Sheffield. His career includes several years working in quantitative investment management in the City and, prior to that, a decade in management science consultancy. His research interests are in the development of robust and non-standard methods for modelling expected returns, portfolio selection methods and the properties of optimized portfolios. He has acted as an advisor to a number of asset management firms. He is the founding editor of the European Journal of Finance. George A.

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  • This book was conceived as a result of many years research with students and postdocs in molecular simulation, and shaped over several courses on the subject given at the University of Groningen, the Eidgen¨ossische Technische Hochschule (ETH) in Z¨urich, the University of Cambridge, UK, the University of Rome (La Sapienza), and the University of North Carolina at Chapel Hill, NC, USA.

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  • This Second Edition of the go-to reference combines the classical analysis and modern applications of applied mathematics for chemical engineers. The book introduces traditional techniques for solving ordinary differential equations (ODEs), adding new material on approximate solution methods such as perturbation techniques and elementary numerical solutions. It also includes analytical methods to deal with important classes of finite-difference equations. The last half discusses numerical solution techniques and partial differential equations (PDEs). The read...

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