Physical description 
xiii, 444 pages : illustrations ; 24 cm 
Notes 
Rev. ed. of: Computing in applied science. c1984. 

"A WileyInterscience publication." 
Bibliography 
Includes bibliographical references and indexes. 
Summary 
Modern computing in science and engineering draws upon a broad range of subjects, including scientific and mathematical analysis, numerical algorithms, and programming. To fully meet complex computing needs, scientists and engineers must be aware of how these subjects are developed and, most importantly, how they can be used together to best advantage. Computing for Scientists and Engineers offers an integrated and fully developed treatment of basic concepts and methods in mathematical analysis, numerical methods, and programming as they apply to a broad range of topics pertaining specifically to the computing needs of scientists and engineers. Following a unique workbook format, this book utilizes extensive worked examples  illustrated by numerous figures and supplemented by 27 computer programs in C as well as nearly 300 exercises  to emphasize basic analytical and numerical methods used in applying mathematics to the physical sciences and engineering. The examples and exercises promote an understanding of the basis of many recipes in numerical methods and data analysis. His discussion provides a balanced treatment of background mathematics, numerical analysis methods (differentiation, integration, and the solution of differential equations in engineering and the life and physical sciences), and data analysis applications (splines, leastsquares fitting and Fourier expansions) and explores many important topics, such as: . Modern and Data Analysis Methods  spline fitting; weighted leastsquares fitting; Noumerov's algorithm and stiff differential equations; discrete and integral Fourier transforms and Fourier series; and convolutions. Skill Development  numerical noise incomputing; numerical derivatives and integrals; Taylor expansions and binomial approximations; numerical solutions of differential equations; generalized catenaries. Novel Topics  integration using splines; linearized squareroot approximations; leastsquares normalization; bias in log transforms; generalized logistic growth; exploring the Gobbs phenomenon; analytical and numerical discrete Fourier transforms. Twelve Computing Projects and Twentyseven Programs in C  power series; numerical derivatives and integrals; cubic splines; straightline least squares; kinematics of worldrecord sprints; FFT analysis of an EEG; computing the Voigt profile by convolution. The C programs are readily translated into Fortran or Pascal following rules given in the appendix. Progressing from complex variables and power series to differential equations and discrete and integral Fourier transforms, each of the ten selfcontained chapters features clearly identified background materials, extensive uptodate references, and special "Diversion" sections on topics of interest in related fields. Materials are arranged so that the back can be used as a classroom text as well as for individual learning. Computing for Scientists and Engineers is an essential guidebook for students and professionals in the physical and applied sciences and in engineering, as well as in computing areas such as imaging and digital signal processing. 
Other author 
Thompson, William J. (William Jackson), 1939
Computing in applied science.

Subject 
Numerical analysis  Data processing.


Science  Data processing.


Engineering  Data processing.

ISBN 
0471547182 (cloth) 
