Opening book details…
Can I read Numerical Recipes in C: The Art of Scientific Computing, Second Edition on EtoBox?
Numerical Recipes in C: The Art of Scientific Computing, Second Edition by Various authors is a mathematics available to read on EtoBox.
What is Numerical Recipes in C: The Art of Scientific Computing, Second Edition about?
This is the revised and expanded second edition of the hugely popular Numerical Recipes: the Art of Scientific Computing. The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes is a complete text and reference book on scientific computing. In a self-contained manner, it proceeds from mathematical and theoretical considerations to actual, practical computer routines. With over 100 new routines, bringing the total to well over 300, plus upgraded versions of many of the original routines, this new edition is the most practical, comprehensive handbook of scientific computing available today. The book retains the informal, easy-to-read style that made the first edition so popular, even while introducing some more advanced topics. It is an ideal textbook for scientists and engineers, and an indispensable reference for anyone who works in scientific computing. The second edition is available in FORTRAN, the quintessential language for numerical calculations, and in the increasingly popular C language. Not simply a line-by-line translation of the FORTRAN routines, the C version takes advantage of many unique features of the
Who reads Numerical Recipes in C: The Art of Scientific Computing, Second Edition?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Various authors
- Publisher
- Cambridge University Press (Virtual Publishing)
- Published
- 1992
- Language
- EN
- ISBN
- 9780521437240
- Category
- mathematics
- Subjects
- Mathematics, Computer Science, Programming
- Rating
- 4.14 / 5 (188 ratings)
- Updated
- 2026-03-13
Other editions & translations
- Numerical recipes in C : the art of scientific computing (1988)
- Numerical recipes in C 2nd ed (1992)
- Numerical Recipes In C Diskette For Macintosh Version 2.0: The Art Of Scientific Computing (1992)
- Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning) (2002)
- Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning) (2001)
- Dr.Dobb's essential books on numerics and numerical programming CD (1998)
- Numerical Recipes in C book set: Numerical Recipes in C: The Art of Scientific Computing, Second Edition (1992)
- Flannery B P Press W H Teukolsky S A Vetterling W T Numerical Recipes in C 2nd ed (1998)
- Flannery B P Press W H Teukolsky S A Vetterling W T Numerical Recipes in C 2nd ed (1992)
- Numerical Recipes Code Cd-rom With Windows Or Macintosh Single Screen License Cd-rom: Includes Source Code For Numerical Recipes In C, Fortran 77, ... Basic, Li (1992)
- Numerical Recipes in C: The Art of Scientific Computing, Second Edition (2002)
- Numerical Recipes in C Example Book: The Art of Scientific Computing (1992)
- Numerical Recipes in C: The Art of Scientific Computing, Second Edition (1997)
More by Various authors
Browse all works by Various authors
Similar books
- Numerical Recipes in BASIC - Routines and Examples - Companion Manual to Numerical Recipes - The Art of Scientific Computing — Julien C. Sprott, Numerical Recipes Software Staff (1991)
- Numerical Recipes with Source Code CD-ROM 3rd Edition: The Art of Scientific Computing — William H Press; Saul A Teukolsky; William T Vetterling; Brian P Flannery; Cambridge University Press (2007)
- Learning SciPy for Numerical and Scientific Computing - Second Edition — Sergio J. Rojas G., Erik A Christensen, Francisco J. Blanco-Silva (2015)
- Numerical Recipes in C 2nd Ed (1992)
- Introduction to Numerical Analysis and Scientific Computing — Fayyad, Dolly Khuwayri; Nassif, Nabil (2013)
- Scientific Computing with Python - Second Edition: High-performance scientific computing with NumPy, SciPy, and pandas — Claus Führer, Jan Erik Solem, Olivier Verdier (2021)