Practical Scientific Computing

Scientific computing is about developing mathematical models, numerical methods and computer implementations to study and solve real problems in science, engineering, business and even social sciences. Mathematical modelling requires deep understanding of classical numerical methods. This essential guide provides the reader with sufficient foundations in these areas to venture into more advanced texts. The first section of the book presents numEclipse, an open source tool for numerical computing based on the notion of MATLAB®. numEclipse is implemented as a plug-in for Eclipse, a leading integrated development environment for Java programming. The second section studies the classical methods of numerical analysis. Numerical algorithms and their implementations are presented using numEclipse. Practical scientific computing is an invaluable reference for undergraduate engineering, science and mathematics students taking numerical methods courses. It will also be a useful handbook for postgraduate researchers and professionals whose work involves scientific computing. An invaluable reference for undergraduate engineering, science and mathematics students taking numerical methods courses Guides the reader through developing a deep understanding of classical numerical methods Features a comprehensive analysis of numEclipse including numerical algorithms and their implementations

Produk Detail:

  • Author : Muhammad Ali
  • Publisher : Elsevier
  • Pages : 208 pages
  • ISBN : 085709226X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKPractical Scientific Computing

Practical Scientific Computing

Practical Scientific Computing
  • Author : Muhammad Ali,Victor Zalizniak
  • Publisher : Elsevier
  • Release : 26 February 2011
GET THIS BOOKPractical Scientific Computing

Scientific computing is about developing mathematical models, numerical methods and computer implementations to study and solve real problems in science, engineering, business and even social sciences. Mathematical modelling requires deep understanding of classical numerical methods. This essential guide provides the reader with sufficient foundations in these areas to venture into more advanced texts. The first section of the book presents numEclipse, an open source tool for numerical computing based on the notion of MATLAB®. numEclipse is implemented as a plug-in

Practical Numerical and Scientific Computing with MATLAB® and Python

Practical Numerical and Scientific Computing with MATLAB® and Python
  • Author : Eihab B. M. Bashier
  • Publisher : CRC Press
  • Release : 18 March 2020
GET THIS BOOKPractical Numerical and Scientific Computing with MATLAB® and Python

Practical Numerical and Scientific Computing with MATLAB® and Python concentrates on the practical aspects of numerical analysis and linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python. Although the book focuses on the approximation problem rather than on error analysis of mathematical problems, it provides practical ways to calculate errors. The book is divided into three parts, covering topics in numerical linear algebra, methods of interpolation, numerical differentiation and integration,

Introduction to Scientific Programming with Python

Introduction to Scientific Programming with Python
  • Author : Joakim Sundnes
  • Publisher : Unknown Publisher
  • Release : 12 August 2022
GET THIS BOOKIntroduction to Scientific Programming with Python

This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file

Computational Physics - A Practical Introduction to Computational Physics and Scientific Computing (using C++), Vol. II

Computational Physics - A Practical Introduction to Computational Physics and Scientific Computing (using C++), Vol. II
  • Author : Konstantinos Anagnostopoulos
  • Publisher : Lulu.com
  • Release : 06 December 2016
GET THIS BOOKComputational Physics - A Practical Introduction to Computational Physics and Scientific Computing (using C++), Vol. II

This book is an introduction to the computational methods used in physics and other related scientific fields. It is addressed to an audience that has already been exposed to the introductory level of college physics, usually taught during the first two years of an undergraduate program in science and engineering. It assumes no prior knowledge of numerical analysis, programming or computers and teaches whatever is necessary for the solution of the problems addressed in the text. C]+ is used for

Practical Numerical and Scientific Computing with MATLAB® and Python

Practical Numerical and Scientific Computing with MATLAB® and Python
  • Author : Eihab B. M. Bashier
  • Publisher : CRC Press
  • Release : 16 March 2020
GET THIS BOOKPractical Numerical and Scientific Computing with MATLAB® and Python

This book concentrates on the practical aspects of numerical analysis and linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python. Although the book focuses on the approximation problem rather than on error analysis of mathematical problems, it provides practical ways to calculate errors. The book is divided into three parts, covering topics in numerical linear algebra, methods of interpolation, numerical differentiation and integration, solutions of differential equations, linear and non-linear

Practical Computing for Biologists

Practical Computing for Biologists
  • Author : Steven Harold David Haddock,Casey W. Dunn
  • Publisher : Sinauer Associates Incorporated
  • Release : 12 August 2022
GET THIS BOOKPractical Computing for Biologists

To help with the increasingly large data sets that many scientists deal with, this book illustrates how to use many freely available computing tools to work more powerfully and effectively. The book was born out of the authors' experiences developing tools for their research and to fix other biologist's computational problems.

Practical Numerical Methods with C#

Practical Numerical Methods with C#
  • Author : Jack Xu
  • Publisher : UniCAD
  • Release : 12 August 2022
GET THIS BOOKPractical Numerical Methods with C#

The second edition of this book builds all the code example within a single project by incorporating new advancements in C# .NET technology and open-source math libraries. It also uses C# Interactive Window to test numerical computations without compiling or running the complete project code. The second edition includes three new chapters, including "Plotting", Fourier Analysis" and "Math Expression Parser". As in the first edition, this book presents an in-depth exposition of the various numerical methods used in real-world scientific

Verification and Validation in Scientific Computing

Verification and Validation in Scientific Computing
  • Author : William L. Oberkampf,Christopher J. Roy
  • Publisher : Cambridge University Press
  • Release : 14 October 2010
GET THIS BOOKVerification and Validation in Scientific Computing

Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of

Numerical Analysis in Modern Scientific Computing

Numerical Analysis in Modern Scientific Computing
  • Author : Peter Deuflhard,Andreas Hohmann
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKNumerical Analysis in Modern Scientific Computing

This book introduces the main topics of modern numerical analysis: sequence of linear equations, error analysis, least squares, nonlinear systems, symmetric eigenvalue problems, three-term recursions, interpolation and approximation, large systems and numerical integrations. The presentation draws on geometrical intuition wherever appropriate and is supported by a large number of illustrations, exercises, and examples.

Scientific Computing with Case Studies

Scientific Computing with Case Studies
  • Author : Dianne P. O'Leary
  • Publisher : SIAM
  • Release : 19 March 2009
GET THIS BOOKScientific Computing with Case Studies

This book is a practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. It treats standard problems and introduces important variants such as sparse systems, differential-algebraic equations, constrained optimization, Monte Carlo simulations, and parametric studies. Stability and error analysis are emphasized, and the Matlab algorithms are grounded in sound principles of software design and understanding of machine arithmetic and memory management. Nineteen case studies provide experience in mathematical modeling and algorithm

An Introduction to Scientific Computing

An Introduction to Scientific Computing
  • Author : Ionut Danaila,Pascal Joly,Sidi Mahmoud Kaber,Marie Postel
  • Publisher : Springer Science & Business Media
  • Release : 03 December 2007
GET THIS BOOKAn Introduction to Scientific Computing

This book demonstrates scientific computing by presenting twelve computational projects in several disciplines including Fluid Mechanics, Thermal Science, Computer Aided Design, Signal Processing and more. Each follows typical steps of scientific computing, from physical and mathematical description, to numerical formulation and programming and critical discussion of results. The text teaches practical methods not usually available in basic textbooks: numerical checking of accuracy, choice of boundary conditions, effective solving of linear systems, comparison to exact solutions and more. The final section

Computational Physics - A Practical Introduction to Computational Physics and Scientific Computing (using C++), Vol. I

Computational Physics - A Practical Introduction to Computational Physics and Scientific Computing (using C++), Vol. I
  • Author : Konstantinos Anagnostopoulos
  • Publisher : Lulu.com
  • Release : 06 December 2016
GET THIS BOOKComputational Physics - A Practical Introduction to Computational Physics and Scientific Computing (using C++), Vol. I

This book is an introduction to the computational methods used in physics and other related scientific fields. It is addressed to an audience that has already been exposed to the introductory level of college physics, usually taught during the first two years of an undergraduate program in science and engineering. It assumes no prior knowledge of numerical analysis, programming or computers and teaches whatever is necessary for the solution of the problems addressed in the text. C++ is used for

Practical Numerical and Scientific Computing with Matlab(r) and Python

Practical Numerical and Scientific Computing with Matlab(r) and Python
  • Author : Eihab B M Bashier
  • Publisher : CRC Press
  • Release : 30 September 2021
GET THIS BOOKPractical Numerical and Scientific Computing with Matlab(r) and Python

The book introduces numerical analysis, with a focus on the implementation of methods and algorithms to solve a variety of mathematical problems in use within a variety of applications. It applies programming in MATLAB and Python to a variety of numerical analysis tasks.