Muutke küpsiste eelistusi

E-raamat: Numerical Analysis Using R: Solutions to ODEs and PDEs

(City University London)
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 26-Apr-2016
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9781316653104
  • Formaat - EPUB+DRM
  • Hind: 87,67 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 26-Apr-2016
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9781316653104

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book presents the latest numerical solutions to initial value problems and boundary value problems described by ODEs and PDEs. The author offers practical methods that can be adapted to solve wide ranges of problems and illustrates them in the increasingly popular open source computer language R, allowing integration with more statistically based methods. The book begins with standard techniques, followed by an overview of 'high resolution' flux limiters and WENO to solve problems with solutions exhibiting high gradient phenomena. Meshless methods using radial basis functions are then discussed in the context of scattered data interpolation and the solution of PDEs on irregular grids. Three detailed case studies demonstrate how numerical methods can be used to tackle very different complex problems. With its focus on practical solutions to real-world problems, this book will be useful to students and practitioners in all areas of science and engineering, especially those using R.

Arvustused

'Graham W. Griffiths has produced an outstanding contribution to scientific computation, specifically, the numerical solution of a series of real-world ODE/PDE models. The format of each chapter, i.e. a detailed discussion of the origin of each model, a listing of the commented R routines with background for the numerical algorithms, and an analysis of the computed solutions, permits the reader to immediately understand and execute each model.' W. E. Schiesser, Lehigh University, Pennsylvania 'This book is truly a compendium of numerical methods. The R code listings enhance the exposition greatly. Written in a practical manner, it culminates in case-study chapters where the reader is beautifully led through fascinating applied topics. It is an enjoyable read for anyone interested in modern numerical analysis.' ukasz Pociniczak, Wrocaw University of Technology 'Numerical Analysis Using R is a very interesting text on the theory and practical implementation of numerical methods for approximating solutions to differential equations. The book contains a wealth of information presented in such a way as to be accessible to a wide audience of engineers, mathematicians and other scientists. This book manages to be a unique contribution to the collection of numerical methods texts ' Jason M. Graham, MAA Reviews

Muu info

Practical numerical methods for solving differential equations are illustrated in the increasingly popular open source language R.
1. ODE integration methods;
2. Stability analysis of ODE integrators;
3.
Numerical solution of PDEs;
4. PDE stability analysis;
5. Dissipation and
dispersion;
6. High resolution schemes;
7. Meshless methods;
8. Conservation
laws;
9. Case study: analysis of golf ball flight;
10. Case study:
TaylorSedov blast wave;
11. Case study: the carbon cycle.
Graham W. Griffiths is a visiting professor in the School of Engineering and Mathematical Sciences, City University, London. His primary interests are in numerical methods and climate modelling, on which he has previously published four books. Griffiths was a founder of Special Analysis and Simulation Technology Ltd, and later vice president of operations and technology with AspenTech. He is a Chartered Engineer and a Fellow of the Institute of Measurement and Control, and was granted Freedom of the City of London in 1995.