Monte carlo techniqu

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  • Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Radiation Oncology cung cấp cho các bạn kiến thức về ngành y đề tài: Four-dimensional dosimetry validation and study in lung radiotherapy using deformable image registration and Monte Carlo techniques...

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  • A system has been programmed in JOVIAL to serve as a vehicle for testing hypotheses about language change through time. A basic requirement of the system is that models must be formulated within the framework of Sapir's concept of drift and Bloomfield's definition of a speech community.

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  • In this book, Applications of Monte Carlo Method in Science and Engineering, we further expose the broad range of applications of Monte Carlo simulation in the fields of Quantum Physics, Statistical Physics, Reliability, Medical Physics, Polycrystalline Materials, Ising Model, Chemistry, Agriculture, Food Processing, X-ray Imaging, Electron Dynamics in Doped Semiconductors, Metallurgy, Remote Sensing and much more diverse topics. The book chapters included in this volume clearly reflect the current scientific importance of Monte Carlo techniques in various fields of research....

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  • This book presents and develops major numerical methods currently used for solving problems arising in quantitative finance. Our presentation splits into two parts. Part I is methodological, and offers a comprehensive toolkit on numerical methods and algorithms. This includes Monte Carlo simulation, numerical schemes for partial differential equations, stochastic optimization in discrete time, copula functions, transform-based methods and quadrature techniques. Part II is practical, and features a number of self-contained cases.

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  • Introduction to hydrodynamic modelling and granular dynamics The present text introduces hydrodynamic modelling principles in the context of batch wet granulation and coating systems and it reviews the latest achievements and proposals in the scientific literature in this field. The text concerns primarily the Eulerian and the Lagrangian modelling technique. In accordance with some of the latest published Ph.d. thesis in the field of hydrodynamics modelling, the Lagrangian technique is divided into a soft-particle and a hardsphere approach.

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  • .This page intentionally left blank .Capital Budgeting This book explains the financial appraisal of capital budgeting projects. The coverage extends from the development of basic concepts, principles and techniques to the application of them in increasingly complex and real-world situations. Identification and estimation (including forecasting) of cash flows, project appraisal formulae and the application of net present value (NPV), internal rate of return (IRR) and other project evaluation criteria are illustrated with a variety of calculation examples.

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  • In this chapter, the analytical embedded atom method and calculating Gibbs free energy method are introduced briefly. Combining these methods with molecular dynamic and Monte Carlo techniques, thermodynamics of nano-silver and alloy particles have been studied systematically.

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  • Geostatistics is expanding very fast: concept- and technique-wi se. Keeping in view the importance of the subject, it was thought approp riate to bring out the second edition of this book. In this process, Chapter I has been expanded incorporating more detail s on sampling and sampling designs. In Chapter 2, a section on simulation has been introduced with emphasis on Monte-Carlo simulation with worked out examples. In Chapter 5, a procedure to compute variogram in the case of irregular grid has been outlined. Minor modific ations have been made in all other chapters.

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  • This paper was prepared for the purpose of presenting the methodology and uses of the Monte Carlo simulation technique as applied in the evaluation of investment projects to analyse and assess risk. The first part of the paper highlights the importance of risk analysis in investment appraisal. The second part presents the various stages in the application of the risk analysis process. The third part examines the interpretation of the re

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  • Chaprer 23 LATENT VARIABLE MODELS IN ECONOMETRICS DENNIS J. AIGNER This chapter discusses classical estimation methods for limited dependent variable (LDV) models that employ Monte Carlo simulation techniques to overcome computational problems in such models.

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  • Chapter 9 BAYESIAN SYSTEMS ANALYSIS OF SIMULTANEOUS EQUATION This chapter discusses classical estimation methods for limited dependent variable (LDV) models that employ Monte Carlo simulation techniques to overcome computational problems in such models.

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  • The aim of this book is to disseminate state-of-the-art research and advances in the area of nuclear reactors technology. The book was divided in two parts.

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  • Chapter 2 STATISTICAL ARNOLD ZELLNER THEORY AND ECONOMETRICS This chapter discusses classical estimation methods for limited dependent variable (LDV) models that employ Monte Carlo simulation techniques to overcome computational problems in such models.

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  • The remainder of the paper is as follows. The next section defines the standard approach and the notion of luck. Then, we define the F DR and explain our new methodology which allows us to compute the F DR among the best and worst funds separately. Section 3 presents the performance measures, the estimation technique to compute the p-values as well as the mutual fund data. Section 4 contains the empirical analysis of the impact of luck on performance across the four investment categories. Section 5 concludes.

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  • Adaptive and Recursive Monte Carlo Methods This section discusses more advanced techniques of Monte Carlo integration. As examples of the use of these techniques, we include two rather different, fairly sophisticated, multidimensional Monte Carlo codes: vegas [1,2] , and miser [3]. The techniques that we discuss all fall under the general rubric of reduction of variance (§7.6), but are otherwise quite distinct.

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  • Chapter 27 LIMITED DEPENDENT VARIABLES This chapter discusses classical estimation methods for limited dependent variable (LDV) models that employ Monte Carlo simulation techniques to overcome computational problems in such models.

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  • Chapter 40 CLASSICAL ESTIMATION METHODS FOR LDV MODELS USING SIMULATION This chapter discusses classical estimation methods for limited dependent variable (LDV) models that employ Monte Carlo simulation techniques to overcome computational problems in such models.

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  • Bremsstrahlung energy spectrum from thin W target produced by 15 MeV incident electrons was determined by a combination of measurements and theoretical calculation. The shape of spectrum was calculated by Monte-Carlo method using the code EGS4. The photon flux measurements were performed based on the activation technique using the high pure metallic foils. The radioactivities of the irradiated foils were measured by using a gamma spectrometer with a high energy resolution HPGe detector.

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