Introduction to Practice of Molecular Simulation PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Introduction to Practice of Molecular Simulation PDF full book. Access full book title Introduction to Practice of Molecular Simulation by Akira Satoh. Download full books in PDF and EPUB format.
Author: Akira Satoh Publisher: Elsevier ISBN: 0123851491 Category : Technology & Engineering Languages : en Pages : 333
Book Description
This book presents the most important and main concepts of the molecular and microsimulation techniques. It enables readers to improve their skills in developing simulation programs by providing physical problems and sample simulation programs for them to use. - Provides tools to develop skills in developing simulations programs - Includes sample simulation programs for the reader to use - Appendix explains Fortran and C languages in simple terms to allow the non-expert to use them
Author: Akira Satoh Publisher: Elsevier ISBN: 0123851491 Category : Technology & Engineering Languages : en Pages : 333
Book Description
This book presents the most important and main concepts of the molecular and microsimulation techniques. It enables readers to improve their skills in developing simulation programs by providing physical problems and sample simulation programs for them to use. - Provides tools to develop skills in developing simulations programs - Includes sample simulation programs for the reader to use - Appendix explains Fortran and C languages in simple terms to allow the non-expert to use them
Author: Dirk Taeger Publisher: John Wiley & Sons ISBN: 1118762614 Category : Mathematics Languages : en Pages : 278
Book Description
A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R? If so, how do I use it? If not, how do I program the test myself? This book answers these questions and provides an overview of the most common statistical test problems in a comprehensive way, making it easy to find and perform an appropriate statistical test. A general summary of statistical test theory is presented, along with a basic description for each test, including the necessary prerequisites, assumptions, the formal test problem and the test statistic. Examples in both SAS and R are provided, along with program code to perform the test, resulting output and remarks explaining the necessary program parameters. Key features: • Provides examples in both SAS and R for each test presented. • Looks at the most common statistical tests, displayed in a clear and easy to follow way. • Supported by a supplementary website http://www.d-taeger.de featuring example program code. Academics, practitioners and SAS and R programmers will find this book a valuable resource. Students using SAS and R will also find it an excellent choice for reference and data analysis.
Author: Kálmán Varga Publisher: Cambridge University Press ISBN: 1139501054 Category : Science Languages : en Pages : 445
Book Description
Computer simulation is an indispensable research tool in modeling, understanding and predicting nanoscale phenomena. However, the advanced computer codes used by researchers are too complicated for graduate students wanting to understand computer simulations of physical systems. This book gives students the tools to develop their own codes. Describing advanced algorithms, the book is ideal for students in computational physics, quantum mechanics, atomic and molecular physics, and condensed matter theory. It contains a wide variety of practical examples of varying complexity to help readers at all levels of experience. An algorithm library in Fortran 90, available online at www.cambridge.org/9781107001701, implements the advanced computational approaches described in the text to solve physical problems.
Author: Lionel Prevost Publisher: Springer Science & Business Media ISBN: 3540699384 Category : Business & Economics Languages : en Pages : 327
Book Description
This book constitutes the refereed proceedings of the Third TC3 IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2008, held in Paris, France, in July 2008. The 18 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 57 submissions. The papers combine many ideas from machine learning, advanced statistics, signal and image processing for solving complex real-world pattern recognition problems. The papers are organized in topical sections on unsupervised learning, supervised learning, multiple classifiers, applications, and feature selection.
Author: Peter Congdon Publisher: John Wiley & Sons ISBN: 0470035935 Category : Mathematics Languages : en Pages : 596
Book Description
Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Following the success of the first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the principles of prior selection, identification and the interpretation of real data sets. The second edition: Provides an integrated presentation of theory, examples, applications and computer algorithms. Discusses the role of Markov Chain Monte Carlo methods in computing and estimation. Includes a wide range of interdisciplinary applications, and a large selection of worked examples from the health and social sciences. Features a comprehensive range of methodologies and modelling techniques, and examines model fitting in practice using Bayesian principles. Provides exercises designed to help reinforce the reader’s knowledge and a supplementary website containing data sets and relevant programs. Bayesian Statistical Modelling is ideal for researchers in applied statistics, medical science, public health and the social sciences, who will benefit greatly from the examples and applications featured. The book will also appeal to graduate students of applied statistics, data analysis and Bayesian methods, and will provide a great source of reference for both researchers and students. Praise for the First Edition: “It is a remarkable achievement to have carried out such a range of analysis on such a range of data sets. I found this book comprehensive and stimulating, and was thoroughly impressed with both the depth and the range of the discussions it contains.” – ISI - Short Book Reviews “This is an excellent introductory book on Bayesian modelling techniques and data analysis” – Biometrics “The book fills an important niche in the statistical literature and should be a very valuable resource for students and professionals who are utilizing Bayesian methods.” – Journal of Mathematical Psychology
Author: Michael Lobo Publisher: Routledge ISBN: 042977561X Category : Social Science Languages : en Pages : 163
Book Description
First published in 1997, this volume recognises that there are, at present, few if any books on existing CFD codes that are accessible to the academic world in general. And yet such works are of extreme importance if one is to bridge the gap between a CFD course for postgraduate students and the frontiers of current research. This book is especially intended for students commencing research in CFD – taking them step-by-step through the mathematical development of a flow solver. The only pre-requisite to an understanding of this work is a sound knowledge of engineering mathematics. Starting from the governing equations, the author explains the theory behind the time-marching approach and proceeds step-by-step to a complete computer program for the Euler solver in two dimensions. The present work is restricted to two dimensions because in the first instance ideas can be assimilated much more easily in the context of two dimensions. The book is written for research students and users of CFD. The material may be of interest even to those not directly involved with time-marching solvers, and the presentation is simple enough to be followed by course students.
Author: Ferruccio Colombini Publisher: Springer ISBN: 3319520423 Category : Mathematics Languages : en Pages : 313
Book Description
The book collects the most relevant results from the INdAM Workshop "Shocks, Singularities and Oscillations in Nonlinear Optics and Fluid Mechanics" held in Rome, September 14-18, 2015. The contributions discuss recent major advances in the study of nonlinear hyperbolic systems, addressing general theoretical issues such as symmetrizability, singularities, low regularity or dispersive perturbations. It also investigates several physical phenomena where such systems are relevant, such as nonlinear optics, shock theory (stability, relaxation) and fluid mechanics (boundary layers, water waves, Euler equations, geophysical flows, etc.). It is a valuable resource for researchers in these fields.
Author: George A. Anastassiou Publisher: Springer Science & Business Media ISBN: 3642284752 Category : Technology & Engineering Languages : en Pages : 592
Book Description
Real Analysis is a discipline of intensive study in many institutions of higher education, because it contains useful concepts and fundamental results in the study of mathematics and physics, of the technical disciplines and geometry. This book is the first one of its kind that solves mathematical analysis problems with all four related main software Matlab, Mathcad, Mathematica and Maple. Besides the fundamental theoretical notions, the book contains many exercises, solved both mathematically and by computer, using: Matlab 7.9, Mathcad 14, Mathematica 8 or Maple 15 programming languages. The book is divided into nine chapters, which illustrate the application of the mathematical concepts using the computer. Each chapter presents the fundamental concepts and the elements required to solve the problems contained in that chapter and finishes with some problems left to be solved by the readers. The calculations can be verified by using a specific software such as Matlab, Mathcad, Mathematica or Maple.
Author: Akira Satoh
Author: Akira Satoh
Author: Dirk Taeger
Author: Kálmán Varga
Author: Craig Mounfield
Author: Lionel Prevost
Author: Peter Congdon
Author: Michael Lobo
Author: 
Author: Ferruccio Colombini
Author: George A. Anastassiou