Numerical Recipes in C: The Art of Scientific Computing

Combines general discussion, analytical mathematics, algorithmics, and actual working programs. That is, a cookbook on numerical computation.

**Tag(s):**
Numerical Methods

**Publication date**: 01 Jan 1993

**ISBN-10**:
0521431085

**ISBN-13**:
n/a

**Paperback**:
994 pages

**Views**: 36,346

Numerical Recipes in C: The Art of Scientific Computing

Combines general discussion, analytical mathematics, algorithmics, and actual working programs. That is, a cookbook on numerical computation.

Book excerpts:

The aim in writing Numerical Recipes in C was to provide a book that combined general discussion, analytical mathematics, algorithmics, and actual working programs. Hence, a cookbook on numerical computation.

This book is unique, in offering, for each topic considered, a certain amount of general discussion, a certain amount of analytical mathematics, a certain amount of discussion of algorithmics, and (most important) actual implementations of these ideas in the form of working computer routines.

The final purpose in this book is thus to open up a large number of computational black boxes to your scrutiny. The book will teach you to take apart these black boxes and to put them back together again, modifying them to suit your specific needs.

Although the C code seems to be rudely translated from Fortran, this book is a perfect reading for programmers who had forgotten much of the material from their math classes.

Reviews:

Amazon.com

:? "I had to endure reading this book for 2 long semesters, and I've come to know some parts of it pretty well. I'll try to be short and say that the book is an excellent reference for the practicioner (and for the poor student:) - however, the ill-placed "jokes" have terribly annoyed me and my fellow class mates."

:) "In closing, this book is excellent for students wanting a good reference for quick and dirty types of analyses or scientific computing."

The aim in writing Numerical Recipes in C was to provide a book that combined general discussion, analytical mathematics, algorithmics, and actual working programs. Hence, a cookbook on numerical computation.

This book is unique, in offering, for each topic considered, a certain amount of general discussion, a certain amount of analytical mathematics, a certain amount of discussion of algorithmics, and (most important) actual implementations of these ideas in the form of working computer routines.

The final purpose in this book is thus to open up a large number of computational black boxes to your scrutiny. The book will teach you to take apart these black boxes and to put them back together again, modifying them to suit your specific needs.

Although the C code seems to be rudely translated from Fortran, this book is a perfect reading for programmers who had forgotten much of the material from their math classes.

Reviews:

Amazon.com

:? "I had to endure reading this book for 2 long semesters, and I've come to know some parts of it pretty well. I'll try to be short and say that the book is an excellent reference for the practicioner (and for the poor student:) - however, the ill-placed "jokes" have terribly annoyed me and my fellow class mates."

:) "In closing, this book is excellent for students wanting a good reference for quick and dirty types of analyses or scientific computing."

Tweet

About The Author(s)

No information is available for this author.

No information is available for this author.

No information is available for this author.

No information is available for this author.

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)

Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management

Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Microsoft .NET
Rexx
Perl
PHP
Python
R
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous
Sponsors