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Practical Scientific Computing

Practical Scientific Computing
  • Author : Muhammad Ali
  • Publsiher : Elsevier
  • Release : 26 February 2011
  • ISBN : 085709226X
  • Pages : 208 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKPractical Scientific Computing

Summary:
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


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,


Data-Driven Modeling & Scientific Computation

Data-Driven Modeling & Scientific Computation
  • Author : J. Nathan Kutz
  • Publisher : Oxford University Press
  • Release : 08 August 2013
GET THIS BOOKData-Driven Modeling & Scientific Computation

Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex systems and big data. MATLAB is used throughout for mathematical solution strategies.


Guide to Scientific Computing

Guide to Scientific Computing
  • Author : Peter R. Turner
  • Publisher : CRC Press
  • Release : 25 February 2021
GET THIS BOOKGuide to Scientific Computing

Guide to Scientific Computing provides an introduction to the many problems of scientific computing, as well as the wide variety of methods used for their solution. It is ideal for anyone who needs an understanding of numerical mathematics or scientific computing - whether in mathematics, the sciences, engineering, or economics. This book provides an appreciation of the need for numerical methods for solving different types of problems, and discusses basic approaches. For each of the problems mathematical justification and examples


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


Guide to Scientific Computing in C++

Guide to Scientific Computing in C++
  • Author : Joe Pitt-Francis,Jonathan Whiteley
  • Publisher : Springer Science & Business Media
  • Release : 15 February 2012
GET THIS BOOKGuide to Scientific Computing in C++

This easy-to-read textbook/reference presents an essential guide to object-oriented C++ programming for scientific computing. With a practical focus on learning by example, the theory is supported by numerous exercises. Features: provides a specific focus on the application of C++ to scientific computing, including parallel computing using MPI; stresses the importance of a clear programming style to minimize the introduction of errors into code; presents a practical introduction to procedural programming in C++, covering variables, flow of control, input and


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


Numerical Methods for Scientific Computing

Numerical Methods for Scientific Computing
  • Author : Kyle Novak
  • Publisher : Lulu.com
  • Release : 05 January 2017
GET THIS BOOKNumerical Methods for Scientific Computing

Scientists and engineers often use algorithms without fully knowing what's happening inside them. This blind faith can lead to inefficient solutions and sometimes flat-out wrong ones. This book breaks open the algorithmic black boxes to help you understand how they work and why they can break down. Ideal for first-year graduate students, this book works to build both the intuitive understanding of underlying mathematical theory and useful skills for research. Examples worked out in detail provide a practical guide for


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


Introduction to Scientific Computing

Introduction to Scientific Computing
  • Author : Brigitte Lucquin,Olivier Pironneau
  • Publisher : John Wiley & Sons Incorporated
  • Release : 25 February 1998
GET THIS BOOKIntroduction to Scientific Computing

This volume addresses the methods for solving partial differential equations (PDE) systems. The reader should learn how to write computer programs for the numerical analysis of practical engineering problems. Illustrated by examples, it starts by the definition of a programming environment for the solving of PDE systems by the finite element method. Programming the model problem by a finite element method is then addressed in detail. General elliptic problems and evolution problems are then dealt with. Finally, complements on numerical


Scientific Computing with Python 3

Scientific Computing with Python 3
  • Author : Claus Fuhrer,Jan Erik Solem,Olivier Verdier
  • Publisher : Packt Publishing Ltd
  • Release : 23 December 2016
GET THIS BOOKScientific Computing with Python 3

An example-rich, comprehensive guide for all of your Python computational needs About This Book Your ultimate resource for getting up and running with Python numerical computations Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules A hands-on guide to implementing mathematics with Python, with complete coverage of all the key concepts Who This Book Is For This book is for anyone who wants to perform numerical and mathematical computations in Python. It is especially


Advanced Scientific Computing in BASIC with Applications in Chemistry, Biology and Pharmacology

Advanced Scientific Computing in BASIC with Applications in Chemistry, Biology and Pharmacology
  • Author : P Valko,S. Vajda
  • Publisher : Elsevier
  • Release : 01 January 1989
GET THIS BOOKAdvanced Scientific Computing in BASIC with Applications in Chemistry, Biology and Pharmacology

This book gives a practical introduction to numerical methods and presents BASIC subroutines for real-life computations in the areas of chemistry, biology, and pharmacology. The choice of BASIC as the programming language is motivated by its simplicity, its availability on all personal computers and by its power in data acquisition. While most of the scientific packages currently available in BASIC date back to the period of limited memory and speed, the subroutines presented here can handle a broad range of


Scientific Computing and Automation (Europe) 1990

Scientific Computing and Automation (Europe) 1990
  • Author : E.J. Karjalainen
  • Publisher : Elsevier
  • Release : 17 December 1990
GET THIS BOOKScientific Computing and Automation (Europe) 1990

This book comprises a large selection of papers presented at the second European Scientific Computing and Automation meeting (SCA 90 (Europe)) which was held in June 1990 in Maastricht, The Netherlands. The increasing use of computers for making measurements, interpreting data, and filing results brings a new unity to science. SCA concentrates on common computer-based tools which are useful in several disciplines. Practical problems in laboratory automation, robotics and information management with LIMS are covered in depth. The process of designing and


Practical Computing for Biologists

Practical Computing for Biologists
  • Author : Steven Harold David Haddock,Casey W. Dunn
  • Publisher : Sinauer Associates Incorporated
  • Release : 25 February 2021
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.


A Practical Theory of Programming

A Practical Theory of Programming
  • Author : Eric C.R. Hehner
  • Publisher : Springer Science & Business Media
  • Release : 08 September 2012
GET THIS BOOKA Practical Theory of Programming

There are several theories of programming. The first usable theory, often called "Hoare's Logic", is still probably the most widely known. In it, a specification is a pair of predicates: a precondition and postcondition (these and all technical terms will be defined in due course). Another popular and closely related theory by Dijkstra uses the weakest precondition predicate transformer, which is a function from programs and postconditions to preconditions. lones's Vienna Development Method has been used to advantage in some