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Author : B. S. Grewal
Publisher : Unknown
Page : 0 pages
File Size : 48,5 Mb
Release : 2018-09-04
Category : Science
ISBN : 1683921283
This comprehensive text is an excellent resource for students and practicing engineers. Providing an excellent balance of theoretical and applied topics, it shows the numerical methods used with C, C++, and MATLAB--
Author : Rajasekaran S.
Publisher : S. Chand Publishing
Page : 686 pages
File Size : 54,9 Mb
Release : 2003
Category : Technology & Engineering
ISBN : 9788121923125
During the past two decades,owing to the advent of digital computers,numerical methods of analysis have become very popular for the solution of complex problems in physical and management sciences and in engineering.As the price of hardware keeps decreasing repidly,experts predict that in the near future one may have to pay onliy for sodtware.This underscores the importance of numerical computation to the scientist and engineers and,today,most undergraduates and postgraduates are being given training in the use of computers and access to the computers for the solution of problems.
Author : Carl .E. Pearson
Publisher : CRC Press
Page : 228 pages
File Size : 49,9 Mb
Release : 1986-05-01
Category : Mathematics
ISBN : 0442273444
This book is designed for an introductory course in numerical methods for students of engineering and science at universities and colleges of advanced education.
Author : Victor A. Bloomfield
Publisher : CRC Press
Page : 362 pages
File Size : 48,5 Mb
Release : 2018-09-03
Category : Mathematics
ISBN : 9781315360492
Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and engineers. This practical guide to the capabilities of R demonstrates Monte Carlo, stochastic, deterministic, and other numerical methods through an abundance of worked examples and code, covering the solution of systems of linear algebraic equations and nonlinear equations as well as ordinary differential equations and partial differential equations. It not only shows how to use R’s powerful graphic tools to construct the types of plots most useful in scientific and engineering work, but also: Explains how to statistically analyze and fit data to linear and nonlinear models Explores numerical differentiation, integration, and optimization Describes how to find eigenvalues and eigenfunctions Discusses interpolation and curve fitting Considers the analysis of time series Using R for Numerical Analysis in Science and Engineering provides a solid introduction to the most useful numerical methods for scientific and engineering data analysis using R.
Author : S. P. Venkateshan,Prasanna Swaminathan
Publisher : Springer Nature
Page : 824 pages
File Size : 43,6 Mb
Release : 2023-05-31
Category : Technology & Engineering
ISBN : 9783031082269
The book is designed to serve as a textbook for courses offered to graduate and upper-undergraduate students enrolled in mechanical engineering. The book attempts to make students with mathematical backgrounds comfortable with numerical methods. The book also serves as a handy reference for practicing engineers who are interested in applications. The book is written in an easy-to-understand manner, with the essence of each numerical method clearly stated. This makes it easy for professional engineers, students, and early career researchers to follow the material presented in the book. The structure of the book has been modeled accordingly. It is divided into four modules: i) solution of a system of equations and eigenvalues which includes linear equations, determining eigenvalues, and solution of nonlinear equations; ii) function approximations: interpolation, data fit, numerical differentiation, and numerical integration; iii) solution of ordinary differential equations—initial value problems and boundary value problems; and iv) solution of partial differential equations—parabolic, elliptic, and hyperbolic PDEs. Each section of the book includes exercises to reinforce the concepts, and problems have been added at the end of each chapter. Exercise problems may be solved by using computational tools such as scientific calculators, spreadsheet programs, and MATLAB codes. The detailed coverage and pedagogical tools make this an ideal textbook for students, early career researchers, and professionals.
Author : Jaan Kiusalaas
Publisher : Cambridge University Press
Page : 437 pages
File Size : 43,9 Mb
Release : 2013-01-21
Category : Computers
ISBN : 9781107033856
Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.
Author : Graham de Vahl Davis
Publisher : Allen & Unwin Australia
Page : 286 pages
File Size : 42,5 Mb
Release : 1986-01-01
Category : Engineering mathematics
ISBN : 0045150036
Very Good,No Highlights or Markup,all pages are intact.
Author : Bruce Irons,Nigel Shrive
Publisher : Ellis Horwood
Page : 262 pages
File Size : 43,8 Mb
Release : 1987
Category : Engineering mathematics
ISBN : UCAL:B4527721
Author : John R. Hauser
Publisher : Springer Science & Business Media
Page : 1013 pages
File Size : 50,8 Mb
Release : 2009-03-24
Category : Technology & Engineering
ISBN : 9781402099205
There are many books on the use of numerical methods for solving engineering problems and for modeling of engineering artifacts. In addition there are many styles of such presentations ranging from books with a major emphasis on theory to books with an emphasis on applications. The purpose of this book is hopefully to present a somewhat different approach to the use of numerical methods for - gineering applications. Engineering models are in general nonlinear models where the response of some appropriate engineering variable depends in a nonlinear manner on the - plication of some independent parameter. It is certainly true that for many types of engineering models it is sufficient to approximate the real physical world by some linear model. However, when engineering environments are pushed to - treme conditions, nonlinear effects are always encountered. It is also such - treme conditions that are of major importance in determining the reliability or failure limits of engineering systems. Hence it is essential than engineers have a toolbox of modeling techniques that can be used to model nonlinear engineering systems. Such a set of basic numerical methods is the topic of this book. For each subject area treated, nonlinear models are incorporated into the discussion from the very beginning and linear models are simply treated as special cases of more general nonlinear models. This is a basic and fundamental difference in this book from most books on numerical methods.
Author : Bhajan Singh Grewal,Grewal. J. S.
Publisher : Unknown
Page : 438 pages
File Size : 46,9 Mb
Release : 1996
Category : Mathematics
ISBN : OCLC:818809390
Author : Laura De Lorenzis,Alexander Düster
Publisher : Springer Nature
Page : 225 pages
File Size : 52,9 Mb
Release : 2020-02-08
Category : Science
ISBN : 9783030375188
The book examines innovative numerical methods for computational solid and fluid mechanics that can be used to model complex problems in engineering. It also presents innovative and promising simulation methods, including the fundamentals of these methods, as well as advanced topics and complex applications. Further, the book explores how numerical simulations can significantly reduce the number of time-consuming and expensive experiments required, and can support engineering decisions by providing data that would be very difficult, if not impossible, to obtain experimentally. It also includes chapters covering topics such as particle methods addressing particle-based materials and numerical methods that are based on discrete element formulations; fictitious domain methods; phase field models; computational fluid dynamics based on modern finite volume schemes; hybridizable discontinuous Galerkin methods; and non-intrusive coupling methods for structural models.
Author : G. Miller
Publisher : Cambridge University Press
Page : 583 pages
File Size : 45,8 Mb
Release : 2014-05-29
Category : Mathematics
ISBN : 9781107021082
A graduate-level introduction balancing theory and application, providing full coverage of classical methods with many practical examples and demonstration programs.
Author : Graham de Vahl Davis
Publisher : Springer
Page : 286 pages
File Size : 45,6 Mb
Release : 2012-03-01
Category : Science
ISBN : 9401169594
This book is designed for an introductory course in numerical methods for students of engineering and science at universities and colleges of advanced education. It is an outgrowth of a course of lectures and tutorials (problem solving sessions) which the author has given for a number of years at the University of New South Wales and elsewhere. The course is normally taught at the rate of 1i hours per week throughout an academic year (28 weeks). It has occasionally been given at double this rate over half the year, but it was found that students had insufficient time to absorb the material and experiment with the methods. The material presented here is rather more than has been taught in anyone year, although all of it has been taught at some time. The book is concerned with the application of numerical methods to the solution of equations - algebraic, transcendental and differential - which will be encountered by students during their training and their careers. The theoretical foundation for the methods is not rigorously covered. Engineers and applied scientists (but not, of course, mathematicians) are more con cerned with using methods than with proving that they can be used. However, they 'must be satisfied that the methods are fit to be used, and it is hoped that students will perform sufficient numerical experiments to con vince themselves of this without the need for more than the minimum of theory which is presented here.
Author : Stanley Dunn,Alkis Constantinides,Prabhas V. Moghe
Publisher : Elsevier
Page : 632 pages
File Size : 44,5 Mb
Release : 2005-11-21
Category : Technology & Engineering
ISBN : 0080470807
Numerical Modeling in Biomedical Engineering brings together the integrative set of computational problem solving tools important to biomedical engineers. Through the use of comprehensive homework exercises, relevant examples and extensive case studies, this book integrates principles and techniques of numerical analysis. Covering biomechanical phenomena and physiologic, cell and molecular systems, this is an essential tool for students and all those studying biomedical transport, biomedical thermodynamics & kinetics and biomechanics. Supported by Whitaker Foundation Teaching Materials Program; ABET-oriented pedagogical layout Extensive hands-on homework exercises
Author : S. Rajasekaran
Publisher : Unknown
Page : 385 pages
File Size : 52,9 Mb
Release : 1986
Category : Curve fitting
ISBN : 8185614393
