# Search Results for "numerical-recipes-in-c-book-set-numerical-recipes-in-c-the-art-of-scientific-computing"

## Numerical Recipes in C

*The Art of Scientific Computing*

**Author**: William H. Press**Publisher:**Cambridge University Press**ISBN:**9780521437202**Category:**C (Computer program language)**Page:**994**View:**4053

The example books published as part of the Numerical Recipes second edition series contain source programs that exercise and demonstrate all of the Numerical Recipes subroutines. Each example program contains comments and is prefaced by a short description of what it does. The books contain all of the old material from the original edition as well as new material from the second edition. They will be valuable for readers who wish to incorporate procedures and subroutines into their own source programs. They are available in both FORTRAN and C.

## The Art of Scientific Computing

**Author**: N.A**Publisher:**Cambridge University Press**ISBN:**9780521430647**Category:****Page:**963**View:**7529

## Numerical Recipes 3rd Edition

*The Art of Scientific Computing*

**Author**: William H. Press**Publisher:**Cambridge University Press**ISBN:**0521880688**Category:**Computers**Page:**1235**View:**2247

Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in colour for easy reading, adopts an object-oriented style particularly suited to scientific applications. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs; a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres; interior point methods for linear programming; MCMC; an expanded treatment of ODEs with completely new routines; and many new statistical distributions. For support, or to subscribe to an online version, please visit www.nr.com.

## Numerical Recipes Example Book (C++)

*The Art of Scientific Computing*

**Author**: William T. Vetterling**Publisher:**Cambridge University Press**ISBN:**9780521750349**Category:**Computers**Page:**318**View:**5058

Contains C++ source programs that exercise and demonstrate all of the subroutines, procedures, and functions in Numerical Recipes in C++.

## Numerical Recipes in FORTRAN Example Book

*The Art of Scientific Computing*

**Author**: William H. Press**Publisher:**Cambridge University Press**ISBN:**9780521437219**Category:**Mathematics**Page:**963**View:**9809

A complete text and reference book on scientific computing. It proceeds from mathematical and theoretical considerations to actual practical computer routines.

## A Primer on Scientific Programming with Python

**Author**: Hans Petter Langtangen**Publisher:**Springer**ISBN:**3662498871**Category:**Computers**Page:**922**View:**5211

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015

## Parallel Scientific Computing in C++ and MPI

*A Seamless Approach to Parallel Algorithms and their Implementation*

**Author**: George Em Karniadakis,Robert M. Kirby II**Publisher:**Cambridge University Press**ISBN:**110749477X**Category:**Computers**Page:**628**View:**8622

Numerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need to integrate concepts and tools usually comes only in employment or in research - after the courses are concluded - forcing the student to synthesise what is perceived to be three independent subfields into one. This book provides a seamless approach to stimulate the student simultaneously through the eyes of multiple disciplines, leading to enhanced understanding of scientific computing as a whole. The book includes both basic as well as advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Some of the advanced topics include wavelets, high-order methods, non-symmetric systems, and parallelization of sparse systems. The material covered is suited to students from engineering, computer science, physics and mathematics.

## Numerical Methods, Algorithms and Tools in C#

**Author**: Waldemar Dos Passos**Publisher:**CRC Press**ISBN:**1420007602**Category:**Mathematics**Page:**598**View:**7343

Comprehensive Coverage of the New, Easy-to-Learn C# Although C, C++, Java, and Fortran are well-established programming languages, the relatively new C# is much easier to use for solving complex scientific and engineering problems. Numerical Methods, Algorithms and Tools in C# presents a broad collection of practical, ready-to-use mathematical routines employing the exciting, easy-to-learn C# programming language from Microsoft. The book focuses on standard numerical methods, novel object-oriented techniques, and the latest Microsoft .NET programming environment. It covers complex number functions, data sorting and searching algorithms, bit manipulation, interpolation methods, numerical manipulation of linear algebraic equations, and numerical methods for calculating approximate solutions of non-linear equations. The author discusses alternative ways to obtain computer-generated pseudo-random numbers and real random numbers generated by naturally occurring physical phenomena. He also describes various methods for approximating integrals and special functions, routines for performing statistical analyses of data, and least squares and numerical curve fitting methods for analyzing experimental data, along with numerical methods for solving ordinary and partial differential equations. The final chapter offers optimization methods for the minimization or maximization of functions. Exploiting the useful features of C#, this book shows how to write efficient, mathematically intense object-oriented computer programs. The vast array of practical examples presented can be easily customized and implemented to solve complex engineering and scientific problems typically found in real-world computer applications.

## Modeling with Data

*Tools and Techniques for Scientific Computing*

**Author**: Ben Klemens**Publisher:**Princeton University Press**ISBN:**9781400828746**Category:**Mathematics**Page:**472**View:**3787

Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results. Ben Klemens introduces a set of open and unlimited tools, and uses them to demonstrate data management, analysis, and simulation techniques essential for dealing with large data sets and computationally intensive procedures. He then demonstrates how to easily apply these tools to the many threads of statistical technique, including classical, Bayesian, maximum likelihood, and Monte Carlo methods. Klemens's accessible survey describes these models in a unified and nontraditional manner, providing alternative ways of looking at statistical concepts that often befuddle students. The book includes nearly one hundred sample programs of all kinds. Links to these programs will be available on this page at a later date. Modeling with Data will interest anyone looking for a comprehensive guide to these powerful statistical tools, including researchers and graduate students in the social sciences, biology, engineering, economics, and applied mathematics.

## A First Course in the Numerical Analysis of Differential Equations

**Author**: A. Iserles**Publisher:**Cambridge University Press**ISBN:**0521734908**Category:**Mathematics**Page:**459**View:**6108

lead the reader to a theoretical understanding of the subject without neglecting its practical aspects. The outcome is a textbook that is mathematically honest and rigorous and provides its target audience with a wide range of skills in both ordinary and partial differential equations." --Book Jacket.

## A Numerical Library in C for Scientists and Engineers

**Author**: Hang T. Lau**Publisher:**CRC Press**ISBN:**9781420050103**Category:**Mathematics**Page:**816**View:**5424

This extensive library of computer programs-written in C language-allows readers to solve numerical problems in areas of linear algebra, ordinary and partial differential equations, optimization, parameter estimation, and special functions of mathematical physics. The library is based on NUMAL, the program assemblage developed and used at the Centre for Mathematics and Computer Science in Amsterdam, one of the world's leading research centers. The important characteristic of the library is its modular structure. Because it is highly compact, it is well-suited for use on personal computers. The library offers the expert a prodigious collection of procedures for implementing numerical methods. The novice can experiment with the worked examples provided and use the more comprehensive procedures to perform mathematical computations. The library provides a powerful research tool for computer scientists, engineers, and applied mathematicians. Applicable materials can be downloaded from the CRC Press website.

## Numerical Algorithms with C

**Author**: Giesela Engeln-Müllges,Frank Uhlig**Publisher:**Springer Science & Business Media**ISBN:**3642610749**Category:**Mathematics**Page:**597**View:**5483

More scientists now use C than any other programming language. This book contains practical, computer-ready algorithms for many standard methods of numerical mathematics. It describes the principles of the various methods and provides support in choosing the appropriate method for a given task. Topics given special emphasis include converging methods for solving nonlinear equations, methods for solving systems of linear equations for many special matrix structures, and the Shepard method for multidimensional interpolation. The CD contains C-programs for almost all the algorithms given in the book and a compiler, together with software for graphical printing.

## Scientific Computing

*An Introductory Survey*

**Author**: Michael T. Heath**Publisher:**McGraw-Hill Europe**ISBN:**9780071244893**Category:**Numerical analysis**Page:**563**View:**7774

This Auditing practice set incorporates both the cycles and the risk approach using the audit risk model. Students will learn to design and prepare the current year's working papers and assemble the completed case. Taking about 30 hours to complete, this practice set can be used with any Auditing textbook.

## Guide to Scientific Computing in C++

**Author**: Joe Pitt-Francis,Jonathan Whiteley**Publisher:**Springer Science & Business Media**ISBN:**1447127366**Category:**Computers**Page:**250**View:**9092

This easy-to-read textbook/reference presents an essential guide to object-oriented C++ programming for scientific computing. With a practical focus on learning by example, the theory is supported by numerous exercises. Features: provides a specific focus on the application of C++ to scientific computing, including parallel computing using MPI; stresses the importance of a clear programming style to minimize the introduction of errors into code; presents a practical introduction to procedural programming in C++, covering variables, flow of control, input and output, pointers, functions, and reference variables; exhibits the efficacy of classes, highlighting the main features of object-orientation; examines more advanced C++ features, such as templates and exceptions; supplies useful tips and examples throughout the text, together with chapter-ending exercises, and code available to download from Springer.

## Numerical Recipes Routines and Examples in BASIC (First Edition)

**Author**: Julien C. Sprott,Numerical Recipes Software (Firm)**Publisher:**Cambridge University Press**ISBN:**9780521406895**Category:**Computers**Page:**398**View:**1392

This book contains the routines and demonstration programs from the first edition of the highly acclaimed reference book, Numerical Recipes: The Art of Scientific Computing. It includes computer code and code captions from the book and example book and the commentary from the example book. The author employs a contemporary version of BASIC, Microsoft QuickBasic 4.5, which roughly follows the structure of FORTRAN; in fact, the recipes found in this book are easily adapted for other modern forms of BASIC. This book is recommended for use with one of the main Numerical Recipes books, such as Numerical Recipes in Fortran 77 [link to 43064X]. The programs contained in this book are also available as machine-readable code on the Numerical Recipes Code CD-ROM with Windows/Macintosh Single Screen License [link to 576083].

## Alternating Projection Methods

**Author**: Renâ Escalante,Marcos Raydan**Publisher:**SIAM**ISBN:**1611971934**Category:**Mathematics**Page:**129**View:**8976

A comprehensive textbook for advanced undergraduate or graduate students.

## Fundamentals of Engineering Numerical Analysis

**Author**: Parviz Moin**Publisher:**Cambridge University Press**ISBN:**1139489550**Category:**Technology & Engineering**Page:**N.A**View:**1083

Since the original publication of this book, available computer power has increased greatly. Today, scientific computing is playing an ever more prominent role as a tool in scientific discovery and engineering analysis. In this second edition, the key addition is an introduction to the finite element method. This is a widely used technique for solving partial differential equations (PDEs) in complex domains. This text introduces numerical methods and shows how to develop, analyse, and use them. Complete MATLAB programs for all the worked examples are now available at www.cambridge.org/Moin, and more than 30 exercises have been added. This thorough and practical book is intended as a first course in numerical analysis, primarily for new graduate students in engineering and physical science. Along with mastering the fundamentals of numerical methods, students will learn to write their own computer programs using standard numerical methods.

## Numerical Methods that Work

**Author**: Forman S. Acton**Publisher:**MAA**ISBN:**9780883854501**Category:**Mathematics**Page:**549**View:**874

A commonsense approach to numerical algorithms for the solution of equations.

## Numerical Methods in Engineering with Python 3

**Author**: Jaan Kiusalaas**Publisher:**Cambridge University Press**ISBN:**1107033853**Category:**Computers**Page:**432**View:**6105

Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.

## Effective Computation in Physics

*Field Guide to Research with Python*

**Author**: Anthony Scopatz,Kathryn D. Huff**Publisher:**"O'Reilly Media, Inc."**ISBN:**1491901586**Category:**Science**Page:**552**View:**3699

More physicists today are taking on the role of software developer as part of their research, but software development isn’t always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field. Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts. You’ll learn how to use the Python programming language to perform everything from collecting and analyzing data to building software and publishing your results. In four parts, this book includes: Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects Getting It Done: Learn about regular expressions, analysis and visualization, NumPy, storing data in files and HDF5, important data structures in physics, computing in parallel, and deploying software Getting It Right: Build pipelines and software, learn to use local and remote version control, and debug and test your code Getting It Out There: Document your code, process and publish your findings, and collaborate efficiently; dive into software licenses, ownership, and copyright procedures