This book aims to teach the methods of numerical computing, and as such it is a practical reference and textbook for anyone using numerical analysis. The authors provide the techniques and computer programs needed for analysis and also advice on which techniques should be used for solving certain types of problems. The authors assume the reader is mathematically literate aThis book aims to teach the methods of numerical computing, and as such it is a practical reference and textbook for anyone using numerical analysis. The authors provide the techniques and computer programs needed for analysis and also advice on which techniques should be used for solving certain types of problems. The authors assume the reader is mathematically literate and is familiar with FORTRAN and PASCAL programming languages, but no prior experience with numerical analysis or numerical methods is assumed. The book includes all the standard topics of numerical analysis (linear equations, interpolation and extrapolation, integration, nonlinear rootfinding, eigensystems and ordinary differential equations). The programs in the book are in ANSI-standard FORTRAN-77 for the main text, and are repeated in UCSDPASCAL at the end. They are available on discs for use on IBM-PC microcomputers and their compatibles. A workbook providing sample programs that illustrate the use of each subroutine and procedure is available, as well as discs giving programs listed in the book in USCD-PASCAL and FORTRAN-77 for use on IBM-PC microcomputers and their compatibles....
|Number of Pages||:||818 Pages|
|Status||:||Available For Download|
|Last checked||:||21 Minutes ago!|
Numerical Recipes Reviews
What can really be said about this besides "really useful?"
Even three decades after it was first published, it's hard to do better than this classic for a first step into any of the practical, numerical algorithms that it covers. There are other options available, all of them more modern, but none are as readable or entertaining as this one. And, in my opinion, none are as well targeted towards the things you need to know when implementing a method for yourself, while leaving for other texts the things that you don't need to know if you're just going to use a third-party library, or unless you need to code or develop specialized methods. It also avoids delving too deeply into the numerical analysis topics that bog down many other books on numerical or scientific computing. Those formal approaches have their place, and are important to know, but can get in the way of practical implementation for most everyday scientific computing problems. The name Numerical Recipes is well chosen. If this were a cookbook, its competitors would spend many chapters on explaining the chemistry behind the role of coagulants and protein denaturation during cooking; this one gives you the recipes and some practical tips for how to get them to come out right.A common criticism is that this book is a little out of date, presenting methods that now have better alternatives. This is true, but it's still my first choice when I need to remind myself of the basics, or grab a quick snippet of code, or figure out the best way to explain a topic to someone else.