Monte carlo simulations

Xem 1-20 trên 64 kết quả Monte carlo simulations
  • This new and updated deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics as well as in related fields, for example polymer science, lattice gauge theory and protein folding. After briefly recalling essential background in statistical mechanics and probability theory, the authors give a succinct overview of simple sampling methods. The next several chapters develop the importance sampling method, both for lattice models and for systems in continuum space....

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  • At present, thickness measurement of materials based on effect of backscattering gamma-ray has been widely used in industry in our country. The report presented research in measuring thickness of some materials such as paper, plastic, aluminum and steel with using the dedicated system of MYO-101, having scintillation detector of YAP(Ce) and gamma-ray of 60 keV of Am-241 source, by Monte-Carlo simulation using the code of MCNP. The simulation was checked by experimental measurements.

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  • Lecture Monte carlo simulations: Application to lattice models, part I - Basics. The main contents of this chapter include all of the following: Introduction, thermodynamics and statistical mechanics, phase transition, probability theory.

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  • Lecture Monte carlo simulations: Application to lattice models, part II - Monte carlo simulation methods. The main contents of this chapter include all of the following: The spin models, boundary conditions, simple sampling monte carlo methods, importance sampling monte carlo methods.

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  • Lecture Monte carlo simulations: Application to lattice models, part III - Finite size effects and reweighting methods. The main contents of this chapter include all of the following: Finite size effects, single histogram method, multiple histogram method, wang-Landau method, the applications.

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  • The objective of this book is to introduce recent advances and state-of-the-art applications of Monte Carlo Simulation (MCS) in various fields. MCS is a class of statistical methods for performance analysis and decision making based on taking random samples from underly‐ ing systems or problems to draw inferences or estimations. Let us make an analogy by using the structure of an umbrella to define and exemplify the position of this book within the fields of science and engineering. Imagine that one can place MCS at the centerpoint of an umbrella and define the...

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  • The Texas Instrument TMS320VC5510 DSK’s calculation abilitiy with different program languages is investigated for minimum the DSP’s measurement time. The steps of Monte Carlo simulations embedded into the DSK’s flash through the DSK’s JTAG interface for optical parameters measurement including absorption coefficient µ a , scattering coefficient µ s and anisotropy g are presented. The obtained results for diluted milk standard samples are also reported.

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  • Simulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simulation since the publication of the classic First Edition over twenty-five years ago.

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  • Trong công trình này, tác giả sử dụng hai chương trình mô phỏng Monte Carlo MCNP5 và GEANT4 để mô phỏng hệ đầu đò HPGe kí hiệu GMX35P4-70, sau đó nghiên cứu đặc trưng phổ và tính toán hiệu suất đỉnh. Kết quả cho thấy khi thay đổi bề dày lớp chết từ 1.8mm đến 2.2mm đáp ứng phổ mô phỏng và hiệu suất đỉnh phù hợp với thực nghiệm hơn.

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  • This book provides an introduction to the theory and practice of Monte Carlo and Simulation methods. It arises from a 20 hour course given simultaneously to two groups of students. The first are final year Honours students in the School of Mathematics at the University of Edinburgh and the second are students from Heriot Watt and Edinburgh Universities taking the MSc in Financial Mathematics. The intention is that this be a practical book that encourages readers to write and experiment with actual simulation models.

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  • Chương 1 - Mô phỏng monte carlo (monte carlo simulation). Sau khi học xong chương này người học có thể: Nắm vững các khái niệm dùng trong mô phỏng Monte Carlo (Monte Carlo Simulation, MCS), ứng dụng MCS một cách thích hợp trong quản lý dự án & quản lý xây dựng. Mời các bạn cùng tham khảo.

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  • (BQ) Part 2 book "Management science" has contents: Optimization of network models, integer optimization, optimization of nonsmooth models, decision analysis, monte carlo simulation, optimization in simulation.

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  • (BQ) Part 2 book "Business analytics" hass contents: Introduction to data mining, spreadsheet modeling and analysis, monte carlo simulation and risk analysis, linear optimization, applications of linear optimization, integer optimization, decision analysis.

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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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  • 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 volume is an eclectic mix of applications of Monte Carlo methods in many fields of research should not be surprising, because of the ubiquitous use of these methods in many fields of human endeavor. In an attempt to focus attention on a manageable set of applications, the main thrust of this book is to emphasize applications of Monte Carlo simulation methods in biology and medicine.

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  • Solving particle transport problems with the Monte Carlo method is simple - just simulate the particle behavior. The devil is in the details, however. This course provides a balanced approach to the theory and practice of Monte Carlo simulation codes, with lectures on transport, random number generation, random sampling, computational geometry, collision physics, tallies, statistics, eigenvalue calculations, variance reduction, and parallel algorithms.

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  • Abilitiy tính của Texas Instrument TMS320VC5510 DSK với các ngôn ngữ chương trình khác nhau là điều tra về đo lường thời gian tối thiểu của DSP. Các bước của mô phỏng Monte Carlo nhúng vào flash của DSK thông qua giao diện JTAG của DSK...

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  • This chapter includes contents: what is simulation? advantages and disadvantages of simulation, monte carlo simulation, simulation of a queuing problem, simulation and inventory analysis, the role of computers in simulation.

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  • Tham khảo tài liệu 'simulation and the monte carlo method episode 1', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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