Classical Fortran

Classical Fortran
Author: Michael Kupferschmid
Publisher: CRC Press
Total Pages: 546
Release: 2009-01-14
Genre: Computers
ISBN: 1439894876

Classical FORTRAN: Programming for Engineering and Scientific Applications, Second Edition teaches how to write programs in the Classical dialect of FORTRAN, the original and still most widely recognized language for numerical computing. This edition retains the conversational style of the original, along with its simple, carefully chosen subset la

FORTRAN 90 for Scientists and Engineers

FORTRAN 90 for Scientists and Engineers
Author: Brian H. Hahn
Publisher: Elsevier
Total Pages: 364
Release: 1994-04-07
Genre: Computers
ISBN: 0080571603

The introduction of the Fortran 90 standard is the first significant change in the Fortran language in over 20 years. this book is designed for anyone wanting to learn Fortran for the first time or or a programmer who needs to upgrade from Fortran 77 to Fortran 90. Employing a practical, problem-based approach this book provides a comprehensive introduction to the language. More experienced programmers will find it a useful update to the new standard and will benefit from the emphasis on science and engineering applications.

Introductory Course on Theory and Practice of Mechanical Vibrations

Introductory Course on Theory and Practice of Mechanical Vibrations
Author: J. S. Rao
Publisher: New Age International
Total Pages: 562
Release: 1999
Genre: Vibration
ISBN: 9788122412154

The Book Presents The Theory Of Free, Forced And Transient Vibrations Of Single Degree, Two Degree And Multi-Degree Of Freedom, Undamped And Damped, Lumped Parameter Systems And Its Applications. Free And Forced Vibrations Of Undamped Continuous Systems Are Also Covered. Numerical Methods Like Holzers And Myklestads Are Also Presented In Matrix Form. Finite Element Method For Vibration Problem Is Also Included. Nonlinear Vibration And Random Vibration Analysis Of Mechanical Systems Are Also Presented. The Emphasis Is On Modelling Of Engineering Systems. Examples Chosen, Even Though Quite Simple, Always Refer To Practical Systems. Experimental Techniques In Vibration Analysis Are Discussed At Length In A Separate Chapter And Several Classical Case Studies Are Presented.Though The Book Is Primarily Intended For An Undergraduate Course In Mechanical Vibrations, It Covers Some Advanced Topics Which Are Generally Taught At Postgraduate Level. The Needs Of The Practising Engineers Have Been Kept In Mind Too. A Manual Giving Solutions Of All The Unsolved Problems Is Also Prepared, Which Would Be Extremely Useful To Teachers.

A First Course in Scientific Computing

A First Course in Scientific Computing
Author: Rubin Landau
Publisher: Princeton University Press
Total Pages: 506
Release: 2011-10-30
Genre: Computers
ISBN: 1400841178

This book offers a new approach to introductory scientific computing. It aims to make students comfortable using computers to do science, to provide them with the computational tools and knowledge they need throughout their college careers and into their professional careers, and to show how all the pieces can work together. Rubin Landau introduces the requisite mathematics and computer science in the course of realistic problems, from energy use to the building of skyscrapers to projectile motion with drag. He is attentive to how each discipline uses its own language to describe the same concepts and how computations are concrete instances of the abstract. Landau covers the basics of computation, numerical analysis, and programming from a computational science perspective. The first part of the printed book uses the problem-solving environment Maple as its context, with the same material covered on the accompanying CD as both Maple and Mathematica programs; the second part uses the compiled language Java, with equivalent materials in Fortran90 on the CD; and the final part presents an introduction to LaTeX replete with sample files. Providing the essentials of computing, with practical examples, A First Course in Scientific Computing adheres to the principle that science and engineering students learn computation best while sitting in front of a computer, book in hand, in trial-and-error mode. Not only is it an invaluable learning text and an essential reference for students of mathematics, engineering, physics, and other sciences, but it is also a consummate model for future textbooks in computational science and engineering courses. A broad spectrum of computing tools and examples that can be used throughout an academic career Practical computing aimed at solving realistic problems Both symbolic and numerical computations A multidisciplinary approach: science + math + computer science Maple and Java in the book itself; Mathematica, Fortran90, Maple and Java on the accompanying CD in an interactive workbook format

The R Book

The R Book
Author: Michael J. Crawley
Publisher: John Wiley & Sons
Total Pages: 953
Release: 2007-06-13
Genre: Mathematics
ISBN: 9780470515068

The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.