Pascal Programming and Numerical Methods for Scientists and Engineers PDF Download

Author: K. R. James
Publisher:
ISBN: 9789144360614
Category : Engineering mathematics
Languages : en
Pages : 208

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Author: DEW/JAMES
Publisher: Springer Science & Business Media
ISBN: 1475739400
Category : Mathematics
Languages : en
Pages : 300

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Book Description
Our intention in this book is to cover the core material in numerical analysis normally taught to students on degree courses in computer science. The main emphasis is placed on the use of analysis and programming techniques to produce well-designed, reliable mathematical software. The treatment should be of interest also to students of mathematics, science and engineering who wish to learn how to write good programs for mathematical computations. The reader is assumed to have some acquaintance with Pascal programming. Aspects of Pascal particularly relevant to numerical computation are revised and developed in the first chapter. Although Pascal has some drawbacks for serious numerical work (for example, only one precision for real numbers), the language has major compensating advantages: it is a widely used teaching language that will be familiar to many students and it encourages the writing of clear, well structured programs. By careful use of structure and documentation, we have produced codes that we believe to be readable; particular care has been taken to ensure that students should be able to understand the codes in conjunction with the descriptive material given in the book.

Author: William H. Press
Publisher: Cambridge University Press
ISBN: 9780521375160
Category : Computers
Languages : en
Pages : 792

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Book Description
Numerical Recipes: The Art of Scientific Computing was first published in 1986 and became an instant classic among scientists, engineers, and social scientists. In this book the original, time-tested programs have been completely reworked into a clear, consistent Pascal style. This represents a significant improvement to the immensely successful programs contained in the first edition, which were originally written in Fortran. The authors make extensive use of pointers, dynamic memory allocation, and other features utilized by this language. The explanatory text accompanying the programs replicates the lucid, and easy-to-read prose found in the original version, and incorporates corrections, improvements, and explanations of special Pascal features. The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes in Pascal fills a long-recognized need for a practical, comprehensive handbook of scientific computing in the Pascal language. The book is designed both for the Pascal programmer who wants exposure to the techniques of scientific computing, and for the working scientist, social scientist, and engineer. The scope of the book ranges from standard areas of numerical analysis (linear algebra, differential equations, roots) through subjects useful to signal processing (Fourier methods, filtering), data analysis (least squares, robust fitting, statistical functions), simulation (random deviates and Monte Carlo), and more. The lively, informal text combined with an underlying degree of mathematical sophistication makes the book useful to a wide range of readers, beginning at the advanced undergraduate level.

Author: P. M. Dew
Publisher: Springer
ISBN:
Category : Computers
Languages : en
Pages : 310

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Book Description
Our intention in this book is to cover the core material in numerical analysis normally taught to students on degree courses in computer science. The main emphasis is placed on the use of analysis and programming techniques to produce well-designed, reliable mathematical software. The treatment should be of interest also to students of mathematics, science and engineering who wish to learn how to write good programs for mathematical computations. The reader is assumed to have some acquaintance with Pascal programming. Aspects of Pascal particularly relevant to numerical computation are revised and developed in the first chapter. Although Pascal has some drawbacks for serious numerical work (for example, only one precision for real numbers), the language has major compensating advantages: it is a widely used teaching language that will be familiar to many students and it encourages the writing of clear, well structured programs. By careful use of structure and documentation, we have produced codes that we believe to be readable; particular care has been taken to ensure that students should be able to understand the codes in conjunction with the descriptive material given in the book.

Author: S. B. Rao
Publisher: Universities Press
ISBN: 9788173714726
Category : Numerical analysis
Languages : en
Pages : 514

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Book Description
The book discusses the important numerical methods which are frequently used in mathematical, physical, engineering and even biological sciences. It will serve as an ideal textbook for the undergraduate and diploma courses. The revised edition has a section on C++ and programs in C++.

Author: Laurence Atkinson
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 320

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Book Description
A summary of Pascal; Rounding errors; Non-linear algebraic equations; Linear algebraic equations; Eingenvalues and eingenvectors. Discrete function approximation; differentiation equations; Operators, reserved words and standard functions; Programs, procedures and functions.

Author:
Publisher:
ISBN: 9780875241661
Category : Computers
Languages : en
Pages : 292

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Author: Pramote Dechaumphai
Publisher: Alpha Science International, Limited
ISBN: 9781842656495
Category : Mathematics
Languages : en
Pages : 0

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Book Description
NUMERICAL METHODS IN ENGINEERING: Theories with MATLAB, Fortran, C and Pascal Programs presents a clear, easy-to-understand manner on introduction and the use of numerical methods. The book contains nine chapters with materials that are essential for studying the subject. The book starts from introducing the numerical methods and describing their importance for analyzing engineering problems. The methods for finding roots of linear and nonlinear equations are presented with examples. Some of these methods are very effective and implemented in commercial software. The methods for interpolation, extrapolation and least-squares regression are explained. Numerical integration and differentiation methods are presented to demonstrate their benefits for solving complicate functions. Several methods for analyzing both the ordinary and partial differential equations are then presented. These methods are simple and work well for problems that have regular geometry. For problems with complex geometry, the finite element method is preferred. The finite element method for analyzing one- and two- dimensional problems is explained in the last chapter. Numerous examples are illustrated to increase understanding of these methods for analyzing different types of problems. Computer programs corresponding to the computational procedures of these methods are provided. The programs are written in MATLAB, Fortran, C and Pascal, so that readers can use the preferred language for their study. These computer programs can also be modified to use in other courses and research work.

Author: Harley Flanders
Publisher: Springer Science & Business Media
ISBN: 1461224284
Category : Computers
Languages : en
Pages : 603

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Book Description
Guide to this Book My main objective is to teach programming in Pascal to people in the hard sciences and technology, who don't have much patience with the standard textbooks with their lengthy, pedantic approach, and their many examples of no interest to scientists and engineers. Another objective is to present many both interesting and useful algorithms and programs. A secondary objective is to explain how to cope with various features of the PC hardware. Pascal really is a wonderful programming language. It is easy to learn and to remember, and it has unrivalled clarity. You get serious results in short order. How should you read this book? Maybe backwards is the answer. If you are just starting with the Borland Pascal package, you must begin with Appendix 1, The Borland Pascal Package. If you are a Pascal user already, still you should skim over Appendix 1. Appendix 2, On Programming, has material on saving programming time and on debugging that might be useful for reference. Chapter 1, Introduction to Pascal, will hardly be read by the experienced Pascal programmer (unless he or she has not used units). Chapter 2, Programming Basics, begins to sample deeper waters, and I hope everyone will find something interesting there. Chapter 3, Files, Records, Pointers, is the final chapter to concentrate on the Pascal programming language; the remaining chapters concentrate on various areas of application.

Author: Lubos Brieda
Publisher: CRC Press
ISBN: 1040097677
Category : Science
Languages : en
Pages : 475

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Book Description
The ability to use computers to solve mathematical relationships is a fundamental skill for anyone planning for a career in science or engineering. For this reason, numerical analysis is part of the core curriculum for just about every undergraduate physics and engineering department. But for most physics and engineering students, practical programming is a self-taught process. This book introduces the reader not only to the mathematical foundation but also to the programming paradigms encountered in modern hybrid software-hardware scientific computing. After completing the text, the reader will be well-versed in the use of different numerical techniques, programming languages, and hardware architectures, and will be able to select the appropriate software and hardware tool for their analysis. It can serve as a textbook for undergraduate courses on numerical analysis and scientific computing courses within engineering and physical sciences departments. It will also be a valuable guidebook for researchers with experimental backgrounds interested in working with numerical simulations, or to any new personnel working in scientific computing or data analysis. Key Features: Includes examples of solving numerical problems in multiple programming languages, including MATLAB, Python, Fortran, C++, Arduino, Javascript, and Verilog Provides an introduction to modern high-performance computing technologies including multithreading, distributed computing, GPUs, microcontrollers, FPGAs, and web "cloud computing" Contains an overview of numerical techniques not found in other introductory texts including particle methods, finite volume and finite element methods, Vlasov solvers, and molecular dynamics